3d-deep-learning topic
kaolin-wisp
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
parsenet-codebase
Code base of ParSeNet: ECCV 2020.
mvtorch
a Pytorch library for multi-view 3D understanding and generation
NPHM
[CVPR'23] Learning Neural Parametric Head Models
nersemble
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
vointcloud
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
3d-ml
A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for contributors!]
NeRF-MAE
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields