awesome-360-depth-estimation
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bkhanal-11
State-of-the-art papers for depth estimation of 360 images.
Awesome 360 Depth Estimation 
Papers
Single 360 image
| Title | Authors | Venue/Publisher | Year | Resources |
|---|---|---|---|---|
| 360D: A dataset and baseline for dense depth estimation from 360 images | Antonis Karakottas et al. | - | 2018 | [PDF] |
| Deep Depth Estimation on $360^{\circ}$ Images with a Double Quaternion Loss | Brandon Yushan Feng et al. | 3DV | 2020 | [PDF] |
| Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery | Lei Jin et al. | CVPR | 2020 | [PDF] |
| Foreground-aware dense depth estimation for 360 images | Qi Eng et al. | WSCG | 2020 | [PDF] |
| BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion | Fu-En Wang et al. | CVPR | 2020 | [PDF] [CODE] |
| UniFuse: Unidirectional Fusion for 360 Panorama Depth Estimation | Hualie Jiang et al. | CVPR | 2021 | [PDF] [CODE] |
| Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography | Hakdong Kim et al. | MDPI | 2021 | [PDF] |
| Depth Estimation from a Single Omnidirectional Image using Domain Adaptation | Yihong Wu et al. | ACM | 2021 | [PDF] |
| Pano3D: A Holistic Benchmark and a Solid Baseline for $360^{\circ}$ Depth Estimation | Georgios Albanis et al. | CVPR | 2021 | [PDF] [CODE] |
| SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representation | Giovanni Pintore et al. | CVPR | 2021 | [PDF] [CODE] |
| Improving 360◦ Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning | Ilwi Yun et al. | AAAI | 2022 | [PDF] [CODE] |
| Depth360: Monocular Depth Estimation using Learnable Axisymmetric Camera Model for Spherical Camera Image | Noriaki Hirose et al. | IROS | 2022 | [PDF] |
| 360 Depth Estimation in the Wild -- the Depth360 Dataset and the SegFuse Network | Qi Feng et al. | CVPR | 2022 | [PDF] [CODE] |
| BiFuse++: Self-supervised and Efficient Bi-projection Fusion for $360^{\circ}$ Depth Estimation | Fu-En Wang et al. | 3D Research | 2022 | [PDF] [CODE] |
| PanoFormer: Panorama Transformer for Indoor $360^{\circ}$ Depth Estimation | Zhijie Shen et al. | CVPR | 2022 | [PDF] [CODE] |
| OmniFusion: 360 Monocular Depth Estimation via Geometry Aware Fusion | Yuyan Li et al. | CVPR | 2022 | [PDF] [CODE] |
| SphereDepth: Panorama Depth Estimation from Spherical Domain | Qingsong Yan et al. | CVPR | 2022 | [PDF] [CODE] |
| 360MonoDepth: High-Resolution $360^{\circ}$ Monocular Depth Estimation | Manuel Rey-Area et al. | CVPR | 2022 | [PDF] [CODE] |
| Distortion-Aware Self-Supervised $360^{\circ}$ Depth Estimation from A Single Equirectangular Projection Image | Yuya Hasegawa et al. | IEEE | 2022 | [PDF] |
| PanoFormer: Panorama Transformer for Indoor $360^{\circ}$ Depth Estimation | Zhijie Shen et al. | ECCV | 2022 | [PDF] [CODE] |
| Learning high-quality depth map from $360^{\circ}$ multi-exposure imagery | Chao Xu et al. | Springer | 2022 | [LINK] |
| Adversarial Mixture Density Network and Uncertainty-based Joint Learning for $360^{\circ}$ Monocular Depth Estimation | Ilwi Yun et al. | IEEE | 2023 | [LINK] |
| High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration | Chi-Han Peng et al. | WACV | 2023 | [PDF] |
| $\mathcal{S}^2$ Net: Accurate Panorama Depth Estimation on Spherical Surface | Meng Li et al. | CVPR | 2023 | [PDF] [CODE] |
| ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth [^1] | Shariq Farooq Bhat et al. | arXiv | 2023 | [PDF] [CODE] |
| EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation | Ilwi Yun et al. | ICCV | 2023 | [PDF] [CODE] |
| Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data [^1] | Lihe Yang et al. | arXiv | 2024 | [PDF] [CODE] |
Multiple 360 images
| Title | Authors | Venue/Publisher | Year | Resources |
|---|---|---|---|---|
| Spherical View Synthesis for Self-Supervised 360 Depth Estimation | Nikolaos Zioulis et al. | 3DV | 2019 | [PDF] [CODE] |
| $360^{\circ}$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron | Ren Komatsu et al. | IROS | 2020 | [PDF] [CODE] |
| MODE: Multi-view Omnidirectional Depth Estimation with $360^{\circ}$ Cameras | Ming Li et al. | ECCV | 2022 | [PDF] [CODE] |
| Semi-Supervised 360° Depth Estimation from Multiple Fisheye Cameras with Pixel-Level Selective Loss | Jaewoo Lee et al. | ICASSP | 2022 | [PDF] [CODE] |
| Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth | Seongyeop Yang et al. | Springer | 2022 | [PDF] [CODE] |
[^1]: These are general depth estimation algorithms which work well for 360 images as well.
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State-of-the-art papers for depth estimation of 360 images.