3d-deep-learning

There are 24 repositories under 3d-deep-learning topic.

NVIDIAGameWorks / kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
3d-deep-learning artificial-intelligence camera-api cuda differentiable-lighting differentiable-rendering neural-networks pytorch rasterization
Language:Python 4599
QingyongHu / SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
3d-classification 3d-deep-learning 3d-detection 3d-segmentation 3d-tracking instance-segmentation pointclouds semantic-segmentation
1594
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).
3d-deep-learning nerf neuralfields pytorch sdf
Language:Python 1454
daavoo / pyntcloud
pyntcloud is a Python library for working with 3D point clouds.
3d 3d-deep-learning 3d-graphics 3d-models 3d-point-clouds deep-learning point-clouds python python-library
Language:Python 1430
andyzeng / tsdf-fusion-python
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
3d 3d-deep-learning 3d-reconstruction artificial-intelligence cuda depth-camera kinect-fusion rgbd tsdf vision volumetric-data
Language:Python 1266
andyzeng / 3dmatch-toolbox
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
3d 3d-deep-learning 3dmatch artificial-intelligence computer-vision deep-learning geometry-processing point-cloud rgbd vision
Language:C++ 855
convolutional_occupancy_networks
autonomousvision / convolutional_occupancy_networks
[ECCV'20] Convolutional Occupancy Networks
implicit-representions 3d-reconstruction eccv-2020 3d-deep-learning neural-fields surface-reconstruction point-clouds scene-representations
Language:Python 851
autonomousvision / differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
3d-deep-learning 3d-reconstruction cvpr-2020 cvpr2020 differentiable-rendering dvr implicit-representions mesh-generation novel-view-synthesis
Language:Python 809
andyzeng / tsdf-fusion
Fuse multiple depth frames into a TSDF voxel volume.
3d 3d-deep-learning 3d-reconstruction artificial-intelligence cuda depth-camera kinect-fusion rgbd tsdf vision volumetric-data
Language:Cuda 745
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.
3d 3d-deep-learning computer-vision cvpr2018 geometry-processing pytorch
Language:Python 686
mit-han-lab / spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
3d-deep-learning architecture-search computer-vision deep-learning efficiency lidar point-cloud pytorch semantickitti
Language:Python 590
vita-epfl / monoloco
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
3d-deep-learning 3d-detection 3d-object-detection 3d-vision computer-vision covid-19 deep-learning human-pose-estimation iccv2019 icra2021 kitti-dataset machine-learning object-detection openpifpaf pifpaf pose-estimation pytorch uncertainty
Language:Python 432
lkhphuc / pytorch-3d-point-cloud-generation
Pytorch code to construct a 3D point cloud model from single RGB image.
3d-deep-learning deep-learning
Language:Python 367
yukitsuji / 3D_CNN_tensorflow
KITTI data processing and 3D CNN for Vehicle Detection
3d-cnn 3d-deep-learning kitti-dataset lidar point-cloud tensorflow vehicle-detection
Language:Python 285
fregu856 / 3DOD_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
3d-deep-learning 3d-detection autonomous-driving computer-vision deep-learning machine-learning object-detection pytorch
Language:Python 283
SimonGiebenhain / NPHM
[CVPR'23] Learning Neural Parametric Head Models
3d-deep-learning 3d-face-reconstruction 3d-reconstruction cvpr-2023 implicit-representations morphable-model neural-fields parametric
Language:Python 252
tobias-kirschstein / nersemble
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
3d-deep-learning 3d-face-reconstruction avatars digital-humans dynamic-nerf nerf neural-fields novel-view-synthesis siggraph2023
Language:Python 210
jhultman / vision3d
Research platform for 3D object detection in PyTorch.
3d-deep-learning autonomous-vehicles codebase detection lidar object-detection perception point-cloud pytorch real-time voxel
Language:Python 201
AutoVision-cloud / SA-Det3D
[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
3d-deep-learning 3d-detection autonomous-driving object-detection point-cloud pytorch
Language:Python 167
hkust-vgd / lcd
[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
2d-3d-correspondences 3d-deep-learning descriptors pytorch
Language:Python 135
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.
dcm-net 3d-deep-learning deep-learning semantic-segmentation 3d-segmentation scannet cvpr2020 cvpr
Language:Python 121
Hippogriff / parsenet-codebase
Code base of ParSeNet: ECCV 2020.
3d-deep-learning 3d-reconstruction eccv-2020 shape-parsing
Language:Python 107
Colin97 / Point2Mesh
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
point-cloud geodesic-distances 3d-deep-learning remeshing mesh-generation mesh-processing neural-network 3d-reconstruction 3d mesh pointclouds eccv2020
Language:C++ 96
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.
3d-deep-learning computer-vision multimodal-deep-learning natural-language-processing point-cloud visual-grounding awesome 3d-vision-and-language
96
hjwdzh / TextureNet
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
3d-convolutional-network 3d-deep-learning 3d-segmentation cvpr2019 deep-neural-networks scannet semantic-segmentation texturenet
Language:C++ 94
NeRF-MAE
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
3d 3d-deep-learning 3d-detection 3d-unet differentiable-rendering feature-pyramid-network instant-ngp masked-autoencoder multi-view nerf neural-radiance-fields neural-rendering region-proposal-network representation-learning self-supervised-learning semantic-segmantation super-resoluion transformers vision-transformers vit
Language:Python 92
Colin97 / DeepMetaHandles
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
3d-deep-learning mesh-generation deformation mesh-processing deep-learning mesh-deformation 3d-graphics
Language:Python 83
ajhamdi / mvtorch
a Pytorch library for multi-view 3D understanding and generation
pytorch pytorch3d deep learning multi-view multi-view-learning 3d 3d-deep-learning multi-view-geometry nerf
Language:Python 81
florentPoux / point-cloud-processing
A suite of scripts and easy-to-follow tutorial to process point cloud data with Python
3d 3d-deep-learning 3d-models 3d-reconstruction 3d-segmentation mesh point-cloud
Language:Jupyter Notebook 71
ThibaultGROUEIX / CycleConsistentDeformation
This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
3d-deep-learning 3d-correspondences atlasnet
Language:Python 62
fastreg
eduardohenriquearnold / fastreg
[IEEE RAL] Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
point-cloud self-driving-cars lidar 3d-deep-learning pytorch pose-estimation 3d-registration autonomous-vehicles
Language:Python 59
cuge1995 / PointCutMix
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
3d-deep-learning data-augmentation deep-learning point-cloud
Language:Python 58
walsvid / Generation3D
3D Shape Generation Baselines in PyTorch.
3d-deep-learning 3d-reconstruction deep-learning disn pixel2mesh shape-generation
Language:Python 45
Hippogriff / 3DCSGNet
CSGNet for voxel based input
3d-deep-learning 3d-graphics computer-vision deep-learning generative-model program-induction
Language:Python 44
dashidhy / awesome-point-cloud-deep-learning
Paper list of deep learning on point clouds.
3d-deep-learning 3d-detection 3d-segmentation 3d-vision paper-list point-cloud
39
cmpute / d3d
Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch
3d-deep-learning dataset object-detection object-tracking pytorch visualization
Language:Python 35

3d-deep-learning

NVIDIAGameWorks / kaolin

QingyongHu / SoTA-Point-Cloud

NVIDIAGameWorks / kaolin-wisp

daavoo / pyntcloud

andyzeng / tsdf-fusion-python

andyzeng / 3dmatch-toolbox

autonomousvision / convolutional_occupancy_networks

autonomousvision / differentiable_volumetric_rendering

andyzeng / tsdf-fusion

ThibaultGROUEIX / AtlasNet

mit-han-lab / spvnas

vita-epfl / monoloco

lkhphuc / pytorch-3d-point-cloud-generation

yukitsuji / 3D_CNN_tensorflow

fregu856 / 3DOD_thesis

SimonGiebenhain / NPHM

tobias-kirschstein / nersemble

jhultman / vision3d

AutoVision-cloud / SA-Det3D

hkust-vgd / lcd

JonasSchult / dcm-net

Hippogriff / parsenet-codebase

Colin97 / Point2Mesh

jianghaojun / Awesome-3D-Vision-and-Language

hjwdzh / TextureNet

zubair-irshad / NeRF-MAE

Colin97 / DeepMetaHandles

ajhamdi / mvtorch

florentPoux / point-cloud-processing

ThibaultGROUEIX / CycleConsistentDeformation

eduardohenriquearnold / fastreg

cuge1995 / PointCutMix

walsvid / Generation3D

Hippogriff / 3DCSGNet

dashidhy / awesome-point-cloud-deep-learning

cmpute / d3d