Awesome Scene Representation

A curated list of awesome scene representation(NeRFs) papers, code, and resources, inspired by awesome-computer-vision

• Nerfstudio: A Modular Framework for Neural Radiance Field Development, Tancik et al., SIGGRAPH 2023 | github | bibtex
• NerfAcc: A General NeRF Acceleration Toolbox, Li et al., Arxiv 2023 | github | bibtex
• NeRFs: The Search for the Best 3D Representation, Ramamoorthi et al., Arxiv 2023 | bibtex
• Objaverse-XL: A Universe of 10M+ 3D Objects, Deitke et al., Arxiv 2023 | bibtex
• SDFStudio: A Unified Framework for Surface Reconstruction, Yu et al., Arxiv 2023 | github | bibtex
• LERF: Language Embedded Radiance Fields, Kerr et al., ICCV 2023 | github | bibtex
• GARField: Group Anything with Radiance Fields, Kim et al., Arxiv 2023 | github | bibtex
• Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs, Warburg et al., ICCV 2023 | github | bibtex
• MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes, Reiser et al., SIGGRAPH 2023 | github | bibtex
• BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis, Yariv et al., SIGGRAPH 2023 | bibtex
• Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping, Rashid et al., CoRL 2023 | bibtex
• SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration, Duckworth et al., Arxiv 2023 | bibtex
• CamP: Camera Preconditioning for Neural Radiance Fields, Park et al., SIGGRAPH 2023 | bibtex
• Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields, Barron et al., ICCV 2023 | github | bibtex
• DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features, Wang et al., CVPR 2024 | bibtex
• NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis, Zhou et al., CVPR 2023 | bibtex
• ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining, Shi et al., Arxiv 2023 | github
• Factor Fields and Beyond, Chen et al., Arxiv and SIGGRAPH 2023 | github
• Live 3D Portrait: Real-Time Radiance Fields for Single-Image Portrait View Synthesis, Trevithick et al., SIGGRAPH 2023 | bibtex
• GeNVS: Generative Novel View Synthesis with 3D-Aware Diffusion Models, Chan et al., Arxiv 2023 | github | bibtex
• NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors, Deng et al., CVPR 2023 | bibtex
• SSIF: Single-shot Implicit Morphable Faces with Consistent Texture Parameterization, Lin et al., SIGGRAPH 2023 | bibtex
• Learning a Diffusion Prior for NeRFs, Yang et al., ICLR 2023 Workshop | bibtex
• Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision, Zhang et al., CVPR 2023 | bibtex
• Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions, Haque et al., ICCV 2023 | github | bibtex
• GINA-3D: Learning to Generate Implicit Neural Assets in the Wild, Shen et al., CVPR 2023 | bibtex
• DreamBooth3D: Subject-Driven Text-to-3D Generation, Raj et al., Arxiv 2023 | bibtex
• Shap-E: Generating Conditional 3D Implicit Functions, Jun et al., Arxiv 2023 | github | bibtex
• Neural Lens Modeling, Xian et al., CVPR 2023 | bibtex
• DeLiRa: Self-Supervised Depth, Light, and Radiance Fields, Guizilini et al., ECCV 2023 | bibtex
• ATT3D: Amortized Text-To-3D Object Synthesis, Lorraine et al., ICCV 2023 | bibtex
• HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance, Zhu et al., Arxiv 2023 | github | bibtex
• FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow, Smith et al., Arxiv 2023 | github | bibtex
• Neural Kernel Surface Reconstruction, Huang et al., CVPR 2023 | github | bibtex
• Neuralangelo: High-Fidelity Neural Surface Reconstruction, Li et al., CVPR 2023 | github | bibtex
• Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis, Luiten et al., Arxiv 2023 | github | bibtex
• F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories, Wang et al., CVPR 2023 | github | bibtex
• NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support, Wei et al., Arxiv 2023 | bibtex
• Neural Spline Fields for Burst Image Fusion and Layer Separation, Chugunov et al., Arxiv 2023 | github | bibtex
• PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar, Klinghoffer et al., CVPR 2024 | github | bibtex
• Compact Neural Graphics Primitives with Learned Hash Probing, Takikawa et al., SIGGRAPH Asia 2023 | bibtex
• Strivec: Sparse Tri-Vector Radiance Fields, Gao et al., Arxiv 2023 | bibtex
• MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses, Fu et al., ICML 2023 | bibtex
• Neural Free-Viewpoint Relighting for Glossy Indirect Illumination, Raghavan et al., Arxiv 2023 | bibtex
• SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates, Uy et al., CVPR 2023 | bibtex
• Progressively Optimized Local Radiance Fields for Robust View Synthesis, Meuleman et al., CVPR 2023 | github | bibtex
• Seeing the World through Your Eyes, Alzayer et al., Arxiv 2023 | bibtex
• Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient, Zhu et al., Arxiv 2023 | bibtex
• DreamHuman: Animatable 3D Avatars from Text, Kolotouros et al., Arxiv 2023 | bibtex
• Generalizable One-shot Neural Head Avatar, Li et al., Arxiv 2023 | bibtex
• UniSim: A Neural Closed-Loop Sensor Simulator, Yang et al., CVPR 2023 | bibtex
• Grid-guided Neural Radiance Fields for Large Urban Scenes, Xu et al., CVPR 2023 | github | bibtex
• K-Planes: Explicit Radiance Fields in Space, Time, and Appearance, Fridovich-Keil et al, CVPR 2023 | github | bibtex
• HexPlane: A Fast Representation for Dynamic Scenes, Cao et al., CVPR 2023 | github | bibtex
• Neural Scene Chronology, Lin et al., CVPR 2023 | github | bibtex
• SUDS: Scalable Urban Dynamic Scenes, Turki et al., CVPR 2023 | github | bibtex
• Neural LiDAR Fields for Novel View Synthesis, Huang et al., ICCV 2023 | bibtex
• NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models, Kim et al., CVPR 2023 | bibtex
• AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training, Jiang et al., CVPR 2023 | bibtex
• RoDynRF: Robust Dynamic Radiance Fields, Liu et al., CVPR 2023 | github | bibtex
• NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images, Liu et al., SIGGRAPH 2023 | github | bibtex
• LANe : Lighting-Aware Neural Fields for Compositional Scene Synthesis, Krishnan et al., Arxiv 2023 | bibtex
• Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes, Wang et al., CVPR 2023 | bibtex
• Random-Access Neural Compression of Material Textures, Vaidyanathan et al., SIGGRAPH 2023 | bibtex
• Neural Prefiltering for Correlation-Aware Levels of Detail, Weier et al., SIGGRAPH 2023 | github
• Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field, Li et al., CVPR 2023 | github | bibtex
• NeRF-Texture: Texture Synthesis with Neural Radiance Fields, Huang et al., SIGGRAPH 2023 | github | bibtex
• ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects, Toschi et al., CVPR 2023 | bibtex
• DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models, Wynn et al., CVPR 2023 | github | bibtex
• SeaThru-NeRF: Neural Radiance Fields in Scattering Media, Levy et al., CVPR 2023 | bibtex
• Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields, Zhang et al., Arxiv 2023 | github | bibtex
• Semantic-Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention, Liu et al., CVPR 2023 | github | bibtex
• SPARF: Neural Radiance Fields from Sparse and Noisy Poses, Truong et al., CVPR 2023 | github | bibtex
• ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs, Mu et al., ICCV 2023 | bibtex
• Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation, Zhao et al., Arxiv 2023 | github | bibtex
• Compressing Volumetric Radiance Fields to 1 MB, Li et al., CVPR 2023 | github | bibtex
• AutoRecon: Automated 3D Object Discovery and Reconstruction, Wang et al., CVPR 2023 | github | bibtex
• Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis, Song et al., ICCV 2023 | github | bibtex
• DynIBaR: Neural Dynamic Image-Based Rendering, Li et al., CVPR 2023 | github | bibtex
• 3D Gaussian Splatting for Real-Time Radiance Field Rendering, Kerbl et al., SIGGRAPH 2023 | github | bibtex
• Real-Time Neural Appearance Models, Zeltner et al., Arxiv 2023 | bibtex
• Towards Realistic Generative 3D Face Models, Rai et al., Arxiv 2023 | github | bibtex
• Pointersect: Neural Rendering with Cloud-Ray Intersection, Chang et al., CVPR 2023 | github | bibtex
• ORCa: Glossy Objects as Radiance-Field Cameras, Tiwary et al., CVPR 2023 | github | bibtex
• GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields, Roessle, et al., SIGGRAPH 2023 | github | bibtex
• TextMesh: Generation of Realistic 3D Meshes From Text Prompts, Tsalicoglou et al., Arxiv 2023 | bibtex
• Local Implicit Ray Function for Generalizable Radiance Field Representation, Huang et al., CVPR 2023 | github | bibtex
• AutoNeRF: Training Implicit Scene Representations with Autonomous Agents, Marza et al., Arxiv 2023 | bibtex
• Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur, Dai et al., CVPR 2023 | github | bibtex
• ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation, Wang et al., Arxiv 2023 | github | bibtex
• Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping, Ma et al., ICML 2023 | github | bibtex
• ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering, Ramazzina et al., Arxiv 2023 | bibtex
• HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork, Sen et al., Arxiv 2023 | bibtex
• Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction, Sklyarova et al., Arxiv 2023 | bibtex
• DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization, Vora et al., Arxiv 2023 | bibtex
• ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting, Liang et al., ICCV 2023 | github | bibtex
• SPIDR: SDF-based Neural Point Fields for Illumination and Deformation, Liang et al., Arxiv 2023 | github | bibtex
• TensoIR: Tensorial Inverse Rendering, Jin et al., CVPR 2023 | github | bibtex
• Patch-based 3D Natural Scene Generation from a Single Example, Li et al., CVPR 2023 | github | bibtex
• 3D Neural Field Generation using Triplane Diffusion, Shue et al., CVPR 2023 | github | bibtex
• Dynamic Point Fields, Prokudin et al., Arxiv 2023 | bibtex
• SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction, Zhou et al., CVPR 2023 | github | bibtex
• Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM, Wang et al., CVPR 2023 | github | bibtex
• Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes, Cohen-Bar et al., Arxiv 2023 | github | bibtex
• Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields, Hu et al., Arxiv 2023 | bibtex
• Multiview Compressive Coding for 3D Reconstruction, Wu et al., CVPR 2023 | github | bibtex
• NeRF-Supervised Deep Stereo, Tosi et al., CVPR 2023 | github | bibtex
• NeILF++: Inter-reflectable Light Fields for Geometry and Material Estimation, Zhang et al., ICCV 2023 | github | bibtex
• SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis, Wang et al., ICCV 2023 | github | bibtex
• NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes, Rakotosaona et al., Arxiv 2023 | bibtex
• Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion, Wang et al., CVPR 2023 | bibtex
• PointAvatar: Deformable Point-based Head Avatars from Videos, Zheng et al., CVPR 2023 | github | bibtex
• Instant Volumetric Head Avatars, Zielonka et al., CVPR 2023 | github | bibtex
• One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization, Liu et al., Arxiv 2023 | github | bibtex
• Zero-1-to-3: Zero-shot One Image to 3D Object, Liu et al., Arxiv 2023 | github | bibtex
• Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors, Qian et al., Arxiv 2023 | github | bibtex
• RealFusion: 360° Reconstruction of Any Object from a Single Image, Melas-Kyriazi et al., CVPR 2023 | github | bibtex
• 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models, Zhang et al., SIGGRAPH 2023 | github | bibtex
• Factor Fields: A Unified Framework for Neural Fields and Beyond, Chen et al., Arxiv 2023 | bibtex
• Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization, Zhang et al., CVPR 2023 | github | bibtex
• Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion, Kamata et al., Arxiv 2023 | bibtex
• FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization, Yang et al., CVPR 2023 | github | bibtex
• TUVF : Learning Generalizable Texture UV Radiance Fields, Cheng et al., Arxiv 2023 | github | bibtex
• Super-NeRF: View-consistent Detail Generation for NeRF super-resolution, Han et al., TPAMI 2023 | bibtex
• Chat with NeRF: Grounding 3D Objects in Neural Radiance Field through Dialog, Yang et al, Arxiv 2023 | github | bibtex
• Segment Anything in 3D with NeRFs, Cen et al., Arxiv 2023 | github | bibtex
• HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video, Liu et al., Arxiv 2023 | bibtex
• Explicit Correspondence Matching for Generalizable Neural Radiance Fields, Chen et al., CVPR 2023 | github | bibtex
• Self-supervised Learning by View Synthesis, Liu et al., Arxiv 2023 | bibtex
• SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields, Mirzaei et al., CVPR 2023 | github | bibtex
• Neural Radiance Fields: Past, Present, and Future, Mittal, Arxiv 2023 | bibtex
• HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling, Attal et al., CVPR 2023 | github | bibtex
• Panoptic Lifting for 3D Scene Understanding with Neural Fields, Siddiqui et al., CVPR 2023 | github | bibtex
• Instance Neural Radiance Field, Hu et al., Arxiv 2023 | bibtex
• Flow Supervision for Deformable NeRF, Wang et al., CVPR 2023 | github | bibtex
• DyLiN: Making Light Field Networks Dynamic, Yu et al., CVPR 2023 | github | bibtex
• NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views, Xu et al., Arxiv 2023 | github | bibtex
• Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection, Ge et al., ICCV 2023 | github | bibtex
• Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container, Tong et al., CVPR 2023 | github | bibtex
• PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification, Li et al., ICLR 2023 | github | bibtex
• NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields, Zhang et al., Arxiv 2023 | bibtex
• BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects, Wen et al., CVPR 2023 | github | bibtex
• ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field, Tang et al., CVPR 2023 | github | bibtex
• FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models, Ye et al., ICCV 2023 | bibtex
• Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction, Chen et al., ICCV 2023 | github | bibtex
• Learning to Render Novel Views from Wide-Baseline Stereo Pairs, Du et al., CVPR 2023 | github | bibtex
• Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields, Agaram et al., CVPR 2023 | github | bibtex
• Neural Volumetric Memory for Visual Locomotion Control, Yang et al., CVPR 2023 | bibtex
• DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields, Yu et al., CVPR 2023 | github | bibtex
• NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects, Yang et al., CVPR 2023 | github | bibtex
• WildLight: In-the-wild Inverse Rendering with a Flashlight, Chen, et al., CVPR 2023 | github | bibtex
• CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout, Lin et al., Arxiv 2023 | bibtex
• TEGLO: High Fidelity Canonical Texture Mapping from Single-View Images, Vinod et al., Arxiv 2023 | bibtex
• Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement, Tang et al., ICCV 2023 | github | bibtex
• NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior, Bian et al., CVPR 2023 | github | bibtex
• NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion, Gu et al., ICML 2023 | bibtex
• α Surf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity, Wu et al., Arxiv 2023 | bibtex
• Implicit Neural Head Synthesis via Controllable Local Deformation Fields, Chen et al., CVPR 2023 | bibtex
• EventNeRF: Neural Radiance Fields from a Single Colour, Rudnev et al., CVPR 2023 | bibtex
• Factored Neural Representation for Scene Understanding, Wong et al., SGP 2023 | github | bibtex
• PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering, Yan et al., CVPR 2023 | github | bibtex
• L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields, Chen et al., CVPR 2023 | github | bibtex
• Radiance Field Gradient Scaling for Unbiased Near-Camera Training, Philip et al., Arxiv 2023 | bibtex
• NeRF-Factory: An awesome PyTorch NeRF collection
• Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models, Liu et al., Arxiv 2023 | bibtex
• InpaintNeRF360: Text-Guided 3D Inpainting on Unbounded Neural Radiance Fields, Wang et al., Arxiv 2023 | bibtex
• OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields, Yan et al., Arxiv 2023 | bibtex
• Removing Objects From Neural Radiance Fields, Weder wt al., CVPR 2023 | github | bibtex
• Evaluate Geometry of Radiance Field with Low-frequency Color Prior, Fang et al., Arxiv 2023 | github | bibtex
• VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization, Zhu et al., Arxiv 2023 | github | bibtex
• Behind the Scenes: Density Fields for Single View Reconstruction, Wimbauer et al., CVPR 2023 | github | bibtex
• NeRFshop: Interactive Editing of Neural Radiance Fields, Jambon et al., I3D 2023 | github | bibtex
• DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model, Seo et al., Arxiv 2023 | github | bibtex
• Neural Microfacet Fields for Inverse Rendering, Mai et al., Arxiv 2023 | github | bibtex
• StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views, Guo et al., Arxiv 2023 | github | bibtex
• I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs, Zhu et al., CVPR 2023 | github | bibtex
• PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces, Wang et al., CVPR 2023 | github | bibtex
• Reference-guided Controllable Inpainting of Neural Radiance Fields, Mirzaei et al., ICCV 2023 | bibtex
• NeRFuser: Large-Scale Scene Representation by NeRF Fusion, Fang et al., Arxiv 2023 | github | bibtex
• Registering Neural Radiance Fields as 3D Density Images, Jiang et al., Arxiv 2023 | bibtex
• TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels, Fang et al., SIGGRAPH Asia 2022 | github | bibtex
• NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads, Kirschstein et al., SIGGRAPH Asia 2023 | github | bibtex
• AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control, Jiang et al., Arxiv 2023 | github | bibtex
• LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar, Xu et al., SIGGRAPH 2023 | github | bibtex
• HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion, IŞIK et al., SIGGRAPH 2023 | github | bibtex
• AvatarReX: Real-time Expressive Full-body Avatars, Zheng et al., SIGGRAPH 2023 | bibtex
• DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance, Zhang et al., SIGGRAPH 2023 | bibtex
• Unsupervised Object-Centric Voxelization for Dynamic Scene Understanding, Gao et al., Arxiv 2023 | github | bibtex
• ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields, Somraj et al., SIGGRAPH 2023 | github | bibtex
• General Neural Gauge Fields, Zhan et al., ICLR 2023 | bibtex
• Online Learning of Neural Surface Light Fields alongside Real-time Incremental 3D Reconstruction, Yuan et al., Arxiv 2023 | github | bibtex
• MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Field, Yang et al., Arxiv 2023 | bibtex
• UV Volumes for Real-time Rendering of Editable Free-view Human Performance, Chen et al., CVPR 2023 | github | bibtex
• Re-ReND: Real-time Rendering of NeRFs across Devices, Rojas et al., Arxiv 2023 | bibtex
• Learning Neural Volumetric Representations of Dynamic Humans in Minutes, Geng et al., CVPR 2023 | bibtex
• PermutoSDF: Fast Multi-View Reconstruction withImplicit Surfaces using Permutohedral Lattices, Rosu et al., CVPR 2023 | github | bibtex
• FusedRF: Fusing Multiple Radiance Fields, Goel et al., Arxiv 2023 | bibtex
• Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields, Walker et al., Arxiv 2023 | bibtex
• Neural Implicit Dense Semantic SLAM, Haghighi et al., Arxiv 2023 | bibtex
• Point-SLAM: Dense Neural Point Cloud-based SLAM, Sandström et al., Arxiv 2023 | github | bibtex
• Decoupling Dynamic Monocular Videos for Dynamic View Synthesis, You et al., Arxiv 2023 | bibtex
• Neural Field Convolutions by Repeated Differentiation, Nsampi et al., Arxiv 2023 | bibtex
• HQ3DAvatar: High Quality Controllable 3D Head Avatar, Teotia et al., Arxiv 2023 | bibtex
• FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views, Jayasundara et al., CVPR 2023 | bibtex
• Enhanced Stable View Synthesis, Jain et al., CVPR 2023 | bibtex
• S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces, Wu et al., Arxiv 2023 | bibtex
• SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes, Gao et al., CVPR 2023 | github | bibtex
• Learning Neural Duplex Radiance Fields for Real-Time View Synthesis, Wan et al., CVPR 2023 | bibtex
• Multi-Space Neural Radiance Fields, Yin et al., CVPR 2023 | github | bibtex
• Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra, Kulhánek et al., Arxiv 2023 | github | bibtex
• Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering, Hu et al., Arxiv 2023 | bibtex
• Instant Neural Radiance Fields Stylization, Li et al., Arxiv 2023 | bibtex
• MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table, Lee et al., Arxiv 2023 | github | bibtex
• Real-Time Neural Light Field on Mobile Devices, Cao et al., CVPR 2023 | github | bibtex
• NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations, Fu et al., ICML 2023 | bibtex
• Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation, Chen et al., ICCV 2023 | github | bibtex
• Template-free Articulated Neural Point Clouds for Reposable View Synthesis, Uzolas et al., Arxiv 2023 | github | bibtex
• DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation, Song et al., Arxiv 2023 | github | bibtex
• Volume Feature Rendering for Fast Neural Radiance Field Reconstruction, Han et al., Arxiv 2023 | bibtex
• Compact Real-time Radiance Fields with Neural Codebook, Li et al., Arxiv 2023 | bibtex
• Towards a Robust Framework for NeRF Evaluation, Azzarelli et al., Arxiv 2023 | bibtex
• ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis, Hu et al., Arxiv 2023 | github | bibtex
• Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data, Szymanowicz, et al., ICCV 2023 | github | bibtex
• Multi-Object Navigation with dynamically learned neural implicit representations, Marza et al., ICCV 2023 | bibtex
• OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields, Yin et al., Arxiv 2023 | github | bibtex
• VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs, Sun et al., ICJAI 2023 | bibtex
• DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors, Lee et al., CVPR 2023 | github | bibtex
• Temporal Interpolation is All You Need for Dynamic Neural Radiance Fields, Park et al., CVPR 2023 | bibtex
• FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM, Hua et al., Arxiv 2023 | github | bibtex
• ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields, Ko et al., Arxiv 2023 | bibtex
• LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs, Cheng et al., ICCV 2023 | bibtex
• H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation, Jiang et al., Arxiv 2023 | github | bibtex
• Binary Radiance Fields, Shin et al., Arxiv 2023 | bibtex
• NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering, Mao et al., Arxiv 2023 | bibtex
• UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video, Lin et al., Arxiv 2023 | bibtex
• Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar, Reed et al., Arxiv 2023 | bibtex
• Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model, Yu et al., Arxiv 2023 | bibtex
• Articulated Object Neural Radiance Field, Irshad
• Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase, Wang et al., Arxiv 2023 | github | bibtex
• Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training, Philip et al., EGSR 2023 | bibtext
• AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation, Zeng et al., Arxiv 2023 | github | bibtex
• Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields, Gordon et al., Arxiv 2023 | bibtex
• DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation, Huang et al., Arxiv 2023 | bibtex
• DreamEditor: Text-Driven 3D Scene Editing with Neural Fields, Zhuang et al., Arxiv 2023 | bibtex
• Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving, Budisteanu et al., Arxiv 2023 | github | bibtex
• FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis, Seo et al., ICCV 2023 | github | bibtex
• NeuBTF: Neural Fields for BTF Encoding and Transfer, Rodríguez-Pardo et al., Computer & Graphics 2023 | bibtex
• Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane, Han et al., Arxiv 2023 | bibtex
• Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles, Farokhmanesh et al., Arxiv 2023 | bibtex
• NeRFahedron: A Primitive for Animatable Neural Rendering with Interactive Speed, Sin et al., SIGGRAPH i3D 2023 | bibtex
• AutoDecoding Latent 3D Diffusion Models, Ntavelis et al., Arxiv 2023 | github | bibtex
• NOFA: NeRF-based One-shot Facial Avatar Reconstruction, Yu et al., Arxiv 2023 | bibtex
• RGB-D Mapping and Tracking in a Plenoxel Radiance Field, Teigen et al., Arxiv 2023 | bibtex
• HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion, Erkoç et al., ICCV 2023 | bibtex
• Surface Geometry Processing: An Efficient Normal-based Detail Representation, Xie et al., Arxiv 2023 | bibtex
• Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction, Malik et al., Arxiv 2023 | bibtex
• Magic NeRF Lens: Interactive Fusion of Neural Radiance Fields for Virtual Facility Inspection, Li et al., Arxiv 2023 | bibtex
• PAPR: Proximity Attention Point Rendering, Zhang et al., Arxiv 2023 | bibtex
• Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, Hu et al., ICCV 2023 | github | bibtex
• CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields, Luo et al., ICCV 2023 | bibtex
• FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields, Hwang et al., ICCV 2023 | bibtex
• Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields, Zhang et al., Arxiv 2023 | bibtex
• Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation, Yu et al., Arxiv 2023 | bibtex
• MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving, Wu et al., CICAI 2023 | github | bibtex
• Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving, Bauer et al., Arxiv 2023 | bibtex
• Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Field, Wang et al., ICCV 2023 | github | bibtex
• Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF, Bai et al., ICCV 2023 | github | bibtex
• Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF), Zhou et al., Arxiv 2023 | bibtex
• Onboard View Planning of a Flying Camera for High Fidelity 3D Reconstruction of a Moving Actor, Jiang et al., Arxiv 2023 | bibtex
• HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation, Wu et al., Arxiv 2023 | bibtex
• Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis, Wang et al., ICCV 2023 | bibtex
• Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing, Zeng et al., ACM Multimedia 2023 | github | bibtex
• 3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Neural Fields, Feng et al., ICCV 2023 | bibtex
• MVPSNet: Fast Generalizable Multi-view Photometric Stereo, Zhao et al., ICCV 2023 | bibtex
• Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On, Gao et al., Arxiv 2023 | bibtex
• AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose, Zhang et al., Arxiv 2023 | bibtex
• Digging into Depth Priors for Outdoor Neural Radiance Fields, Wang et al., ACM Multimedia 2023 | github | bibtex
• NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer, Zhou et al., CVPR 2023 | github | bibtex
• From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm, Zhou et al., Arxiv 2023 | bibtex
• VERF: Runtime Monitoring of Pose Estimation with Neural Radiance Fields, Maggio, Arxiv 2023 | bibtex
• MagicPony: Learning Articulated 3D Animals in the Wild, Wu et al., CVPR 2023 | github | bibtex
• Color-NeuS: Reconstructing Neural Implicit Surfaces with Color, Zhong et al., Arxiv 2023 | github | bibtex
• Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases, Šlapak et al., Arxiv 2023 | github | bibtex
• SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes, Tretschk et al., Arxiv 2023 | bibtex
• DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field, Zhang et al., Arxiv 2023 | bibtex
• Relightable and Animatable Neural Avatar from Sparse-View Video, Xu et al., Arxiv 2023 | github | bibtex
• TeCH: Text-guided Reconstruction of Lifelike Clothed Humans, Huang et al., Arxiv 2023 | github | bibtex
• Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstructio, Kouros et al., Arxiv 2023 | bibtex
• MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR, Xu et al., Arxiv 2023 | github | bibtex
• MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection, Xu et al., ICCV 2023 | github | bibtex
• DReg-NeRF: Deep Registration for Neural Radiance Fields, Chen et al., ICCV 2023 | github | bibtex
• Strata-NeRF: Neural Radiance Fields for Stratified Scenes, Dhiman et al., ICCV 2023 | bibtex
• Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior, Tang et al., Arxiv 2023 | github | bibtex
• Renderable Neural Radiance Map for Visual Navigation, Kwon et al., CVPR 2023 | github | bibtex
• LiveHand: Real-time and Photorealistic Neural Hand Rendering, Mundra et al., ICCV 2023 | github | bibtex
• TADA! Text to Animatable Digital Avatars, Liao et al., Arxiv 2023 | bibtex
• Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields, Song et al., ICCV 2023 | bibtex
• Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts, Cong et al., ICCV 2023 | bibtex
• NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes, IRSHAD et al., ICCV 2023 | github | bibtex
• NeuralClothSim: Neural Deformation Fields Meet the Kirchhoff-Love Thin Shell Theory, Kairanda et al., Arxiv 2023 | bibtex
• NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects, Agrawal et al., Arxiv 2023 | github | bibtex
• Relighting Neural Radiance Fields with Shadow and Highlight Hints, Zeng ey al., SIGGRAPH Asia 2023 | github | bibtex
• Flexible Techniques for Differentiable Rendering with 3D Gaussians, Keselman et al., Arxiv 2023 | github | bibtex
• CLNeRF: Continual Learning Meets NeRF, Cai et al., ICCV 2023 | github | bibtex
• Canonical Factors for Hybrid Neural Fields, Yi et al., ICCV 2023 | github | bibtex
• CityDreamer: Compositional Generative Model of Unbounded 3D Cities, Xie et al., Arxiv 2023 | github | bibtex
• Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments, Kopanas et al., Arxiv 2023 | bibtex
• S2RF: Semantically Stylized Radiance Fields, Lahiri et al., Arxiv 2023 | bibtex
• Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization, Yang et al., Arxiv 2023 | bibtex
• ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction, Yu et al., Arxiv 2023 | bibtex
• Instant Continual Learning of Neural Radiance Fields, Po et al., Arxiv 2023 | bibtex
• ResFields: Residual Neural Fields for Spatiotemporal Signals, Mihajlovic et al., Arxiv 2023 | github | bibtex
• Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields, Goli et al., Arxiv 2023 | bibtex
• Single View Refractive Index Tomography with Neural Fields, Zhao et al., Arxiv 2023 | bibtex
• DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields, Zhang et al., ICCV 2023 | github | bibtex
• EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision, Yang et al., Arxiv 2023 | github | bibtex
• Dynamic Mesh-Aware Radiance Fields, Qiao et al., ICCV 2023 | github | bibtex
• DynaMoN: Motion-Aware Fast And Robust Camera Localization for Dynamic NeRF, Karaoglu et al., Arxiv 2023 | bibtex
• Locally Stylized Neural Radiance Fields, Pang et al., ICCV 2023 | bibtex
• PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes, Fu et al., Arxiv 2023 | github | bibtex
• Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion, Low et al., ICCV 2023 | github | bibtex
• DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion, Nakayama et al., ICCV 2023 | bibtex
• NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection, Xu et al., ICCV 2023 | github | bibtex
• Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation, Liu et al., Arxiv 2023 | bibtex
• PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction, Bian et al., Arxiv 2023 | bibtex
• S4C: Self-Supervised Semantic Scene Completion with Neural Fields, Hayler et al., Arxiv 2023 | bibtex
• Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes, Lin et al., SIGGRAPH Asia 2023 | github | bibtex
• LightSpeed: Light and Fast Neural Light Fields on Mobile Devices, Gupta et al., NeurIPS 2023 | github | bibtex
• PERF: Panoramic Neural Radiance Field from a Single Panorama, Wang et al., Arxiv 2023 | github | bibtex
• LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields, Chang et al., Arxiv 2023 | bibtex
• SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes, Yang et al., Arxiv 2023 | bibtex
• Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations, Aumentado-Armstrong et al., Arxiv 2023 | bibtex
• Novel View Synthesis from a Single RGBD Image for Indoor Scenes, Hetang et al., Arxiv 2023 | bibtex
• DynPoint: Dynamic Neural Point For View Synthesis, Zhou et al., Arxiv 2023 | bibtex
• InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image, Li et al., Arxiv 2023 | github | bibtex
• VR-NeRF: High-Fidelity Virtualized Walkable Spaces, Xu et al., SIGGRAPH Asia 2023 | bibtex
• Real-Time Neural Rasterization for Large Scenes, Liu et al., ICCV 2023 | bibtex
• ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image, Purushwalkam et al., NeurIPS 2023 | bibtex
• Adaptive Shells for Efficient Neural Radiance Field Rendering, Wang et al., SIGGRAPH Asia 2023 | bibtex
• D3GA - Drivable 3D Gaussian Avatars, Zielonka et al., Arxiv 2023 | bibtex
• EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction on Mobile Devices, Gao et al., Arxiv 2023 | bibtex
• Rethinking Directional Integration in Neural Radiance Fields, Deng et al., Arxiv 2023 | bibtex
• Re-Nerfing: Enforcing Geometric Constraints on Neural Radiance Fields through Novel Views Synthesis, Tristram et al., Arxiv 2023 | bibtex
• Self-Evolving Neural Radiance Fields, Jung et al., Arxiv 2023 | github | bibtex
• Dynamic LiDAR Re-simulation using Compositional Neural Fields, Wu et al., Arxiv 2023 | github | bibtex
• Neural Lighting Simulation for Urban Scenes, Pun et al., NeurIPS 2023 | bibtex
• CorresNeRF: Image Correspondence Priors for Neural Radiance Fields, Lao et al., NeurIPS 2023 | github | bibtex
• SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction, Zhang et al., Arxiv 2023 | github | bibtex
• ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields, Bello et al., Arxiv 2023 | github | bibtex
• OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields, Zhang et al., Arxiv 2023 | github | bibtex
• MixRT: Mixed Neural Representations For Real-Time NeRF Rendering, Li et al., 3DV 2024 | bibtex
• PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields, Zhao et al., AAAI 2024 | bibtex
• Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption, Cui et al., AAAI 2024 | github | bibtex
• Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images, Lu et al., Arxiv 2023 | github | bibtex
• Diffusion Priors for Dynamic View Synthesis from Monocular Videos, Wang et al., Arxiv 2024 | bibtex
• InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes, Shahbazi et al., Arxiv 2024 | bibtex
• ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process, Nakayama et al., Arxiv 2024 | bibtex
• Single-View 3D Human Digitalization with Large Reconstruction Models, Weng et al., Arxiv 2024 | bibtex
• Scaling Face Interaction Graph Networks to Real World Scenes, López-Guevara et al., Arxiv 2024 | bibtex
• ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields, Bartrum et al., Arxiv 2024 | bibtex
• Neural Rendering based Urban Scene Reconstruction for Autonomous Driving, Shen et al., Arxiv 2024 | bibtex
• OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding, Liao et al., Arxiv 2024 | bibtex
• NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs, Fischer et al., CVPR 2024 | bibtex
• Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?, Zhu et al., CVPR 2024 | bibtex
• Vosh: Voxel-Mesh Hybrid Representation for Real-Time View Synthesis, Zhang et al., Arxiv 2024 | bibtex
• The NeRFect Match: Exploring NeRF Features for Visual Localization, Zhou et al., Arxiv 2024 | bibtex
• CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs, Zhong et al., CVPR 2024 | bibtex
• Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes, Otonari et al., CVPR 2024 | bibtex
• Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation, Chen et al., Arxiv 2024 | bibtex
• DATENeRF: Depth-Aware Text-based Editing of NeRFs, Rojas et al., Arxiv 2024 | github | bibtex
• NeRF-XL: Scaling NeRFs with Multiple GPUs, Li et al., Arxiv 2024 | bibtex
• HaLo-NeRF: Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections, Dudai et al., Eurographics 2024 | github | bibtex
• Lightplane: Highly-Scalable Components for Neural 3D Fields, Cao et al., Arxiv 2024 | github | bibtex
• NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections | Verbin et al., Arxiv 2024 | bibtex
• OpenNeRF: OpenSet 3D Neural Scene Segmentation with Pixel-wise Features and Rendered Novel Views, Engelmann et al., ICLR 2024 | github | bibtex
• MIRReS: Multi-bounce Inverse Rendering using Reservoir Sampling, Dai et al., Arxiv 2024 | github | bibtex
• InterNeRF: Scaling Radiance Fields via Parameter Interpolation, Wang et al., Arxiv 2024 | bibtex