3d-deep-learning
There are 66 repositories under 3d-deep-learning topic.
NVIDIAGameWorks/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
QingyongHu/SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
NVIDIAGameWorks/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).
daavoo/pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
andyzeng/tsdf-fusion-python
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
andyzeng/3dmatch-toolbox
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
autonomousvision/convolutional_occupancy_networks
[ECCV'20] Convolutional Occupancy Networks
autonomousvision/differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
andyzeng/tsdf-fusion
Fuse multiple depth frames into a TSDF voxel volume.
ThibaultGROUEIX/AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
mit-han-lab/spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
vita-epfl/monoloco
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
lkhphuc/pytorch-3d-point-cloud-generation
Pytorch code to construct a 3D point cloud model from single RGB image.
yukitsuji/3D_CNN_tensorflow
KITTI data processing and 3D CNN for Vehicle Detection
fregu856/3DOD_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
SimonGiebenhain/NPHM
[CVPR'23] Learning Neural Parametric Head Models
tobias-kirschstein/nersemble
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
jhultman/vision3d
Research platform for 3D object detection in PyTorch.
AutoVision-cloud/SA-Det3D
[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
hkust-vgd/lcd
[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
JonasSchult/dcm-net
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
Hippogriff/parsenet-codebase
Code base of ParSeNet: ECCV 2020.
jianghaojun/Awesome-3D-Vision-and-Language
A collection of 3D vision and language (e.g., 3D Visual Grounding, 3D Question Answering and 3D Dense Caption) papers and datasets.
Colin97/Point2Mesh
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
hjwdzh/TextureNet
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
zubair-irshad/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
Colin97/DeepMetaHandles
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
ajhamdi/mvtorch
a Pytorch library for multi-view 3D understanding and generation
florentPoux/point-cloud-processing
A suite of scripts and easy-to-follow tutorial to process point cloud data with Python
ThibaultGROUEIX/CycleConsistentDeformation
This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
cuge1995/PointCutMix
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
eduardohenriquearnold/fastreg
[IEEE RAL] Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
walsvid/Generation3D
3D Shape Generation Baselines in PyTorch.
Hippogriff/3DCSGNet
CSGNet for voxel based input
dashidhy/awesome-point-cloud-deep-learning
Paper list of deep learning on point clouds.
cmpute/d3d
Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch