Topic: 3d-deep-learning Goto Github

👇 Here are 62 public repositories matching this topic...

ajhamdi / mvtorch
3d-deep-learning,a Pytorch library for multi-view 3D understanding and generation
User: ajhamdi
pytorch pytorch3d deep learning multi-view multi-view-learning 3d 3d-deep-learning multi-view-geometry nerf

ajhamdi / vointcloud
3d-deep-learning,Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
User: ajhamdi
3d 3d-point-clouds 3d-deep-learning deep-learning iclr

andyzeng / 3dmatch-toolbox
3d-deep-learning,3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
User: andyzeng
Home Page: http://3dmatch.cs.princeton.edu/
3dmatch rgbd computer-vision deep-learning 3d-deep-learning geometry-processing 3d vision artificial-intelligence point-cloud

andyzeng / tsdf-fusion
3d-deep-learning,Fuse multiple depth frames into a TSDF voxel volume.
User: andyzeng
Home Page: http://andyzeng.github.io/
rgbd tsdf kinect-fusion depth-camera 3d-deep-learning volumetric-data cuda 3d-reconstruction 3d vision

andyzeng / tsdf-fusion-python
3d-deep-learning,Python code to fuse multiple RGB-D images into a TSDF voxel volume.
User: andyzeng
Home Page: http://andyzeng.github.io/
rgbd tsdf kinect-fusion depth-camera 3d-deep-learning volumetric-data cuda 3d-reconstruction 3d vision artificial-intelligence

autonomousvision / convolutional_occupancy_networks
3d-deep-learning,[ECCV'20] Convolutional Occupancy Networks
Organization: autonomousvision
Home Page: https://pengsongyou.github.io/conv_onet
implicit-representions 3d-reconstruction eccv-2020 3d-deep-learning neural-fields surface-reconstruction point-clouds scene-representations

autonomousvision / differentiable_volumetric_rendering
3d-deep-learning, This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
Organization: autonomousvision
Home Page: http://www.cvlibs.net/publications/Niemeyer2020CVPR.pdf
implicit-representions dvr 3d-deep-learning cvpr2020 differentiable-rendering 3d-reconstruction mesh-generation novel-view-synthesis cvpr-2020

autovision-cloud / sa-det3d
3d-deep-learning,[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
User: autovision-cloud
3d-deep-learning 3d-detection autonomous-driving object-detection point-cloud pytorch

ccinc / 3d-ml
3d-deep-learning,A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for contributors!]
User: ccinc
3d 3d-deep-learning deep-learning point-cloud pytorch s3dis segmentation

cmpute / d3d
3d-deep-learning,Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch
User: cmpute
Home Page: https://d3d.readthedocs.io/en/latest/
pytorch 3d-deep-learning visualization dataset object-detection object-tracking

colin97 / deepmetahandles
3d-deep-learning,DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
User: colin97
3d-deep-learning 3d-graphics deep-learning deformation mesh-deformation mesh-generation mesh-processing

colin97 / point2mesh
3d-deep-learning,Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
User: colin97
3d 3d-deep-learning 3d-reconstruction eccv2020 geodesic-distances mesh mesh-generation mesh-processing neural-network point-cloud pointclouds remeshing

cuge1995 / awesome-3d-object-detection
3d-deep-learning,list of papers, code, datasets and other resources
User: cuge1995
3d-deep-learning 3d-detection deep-learning object-detection point-cloud rgbd sensor-fusion

cuge1995 / pointcutmix
3d-deep-learning,our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
User: cuge1995
Home Page: https://arxiv.org/abs/2101.01461.pdf
point-cloud deep-learning 3d-deep-learning data-augmentation

daavoo / pyntcloud
3d-deep-learning,pyntcloud is a Python library for working with 3D point clouds.
User: daavoo
Home Page: http://pyntcloud.readthedocs.io
point-clouds python 3d-point-clouds 3d-graphics 3d-models 3d python-library deep-learning 3d-deep-learning

dashidhy / awesome-point-cloud-deep-learning
3d-deep-learning,Paper list of deep learning on point clouds.
User: dashidhy
point-cloud paper-list 3d-vision 3d-deep-learning 3d-detection 3d-segmentation

dlr-rm / shape-completion
3d-deep-learning,Code and Datasets for 3D Shape Completion related publications
Organization: dlr-rm
3d-deep-learning 3d-reconstruction deep-learning robotics shape-completion deeplearning machine-learning machinelearning

eduardohenriquearnold / fastreg
3d-deep-learning,Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
User: eduardohenriquearnold
point-cloud self-driving-cars lidar 3d-deep-learning pytorch pose-estimation 3d-registration autonomous-vehicles

eezkni / colnerf
3d-deep-learning,[AAAI-2024] Pytorch implementation of "ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field"
User: eezkni
3d-deep-learning collaboration few-shot implicit-neural-representation nerf novel-view-synthesis

florentpoux / point-cloud-processing
3d-deep-learning,A suite of scripts and easy-to-follow tutorial to process point cloud data with Python
User: florentpoux
Home Page: https://learngeodata.eu
3d 3d-deep-learning 3d-models 3d-reconstruction 3d-segmentation mesh point-cloud

fregu856 / 3dod_thesis
3d-deep-learning,3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
User: fregu856
Home Page: http://www.fregu856.com/
pytorch object-detection 3d-detection 3d-deep-learning autonomous-driving computer-vision deep-learning machine-learning

gregorkobsik / octree-transformer
3d-deep-learning,Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences - CVPRW: StruCo3D, 2023
User: gregorkobsik
3d-deep-learning autoregressive-models shape-generation transformer-architecture super-resolution transformers

hippogriff / 3dcsgnet
3d-deep-learning,CSGNet for voxel based input
User: hippogriff
3d-graphics computer-vision program-induction deep-learning 3d-deep-learning generative-model

hippogriff / parsenet-codebase
3d-deep-learning,Code base of ParSeNet: ECCV 2020.
User: hippogriff
3d-deep-learning 3d-reconstruction shape-parsing eccv-2020

hjsg1010 / pottery
3d-deep-learning,AIRI_pottery
User: hjsg1010
pointcloud deeplearning geometric-deep-learning 3d-deep-learning classification pottery

hjwdzh / texturenet
3d-deep-learning,TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
User: hjwdzh
Home Page: http://stanford.edu/~jingweih/papers/texturenet/
texturenet 3d-deep-learning 3d-convolutional-network deep-neural-networks semantic-segmentation 3d-segmentation scannet cvpr2019

hkust-vgd / lcd
3d-deep-learning,[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Organization: hkust-vgd
2d-3d-correspondences 3d-deep-learning descriptors pytorch

jhultman / vision3d
3d-deep-learning,Research platform for 3D object detection in PyTorch.
User: jhultman
3d-deep-learning object-detection lidar point-cloud pytorch voxel detection codebase perception autonomous-vehicles real-time

jianghaojun / awesome-3d-vision-and-language
3d-deep-learning,A collection of 3D vision and language (e.g., 3D Visual Grounding, 3D Question Answering and 3D Dense Caption) papers and datasets.
User: jianghaojun
3d-deep-learning computer-vision multimodal-deep-learning natural-language-processing point-cloud visual-grounding awesome 3d-vision-and-language

jonasschult / dcm-net
3d-deep-learning,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.
User: jonasschult
Home Page: https://visualcomputinginstitute.github.io/dcm-net/
dcm-net 3d-deep-learning deep-learning semantic-segmentation 3d-segmentation scannet cvpr2020 cvpr

kartik17 / data-augmentation-combined-with-adversarial-examples-for-robust-point-cloud-classification
3d-deep-learning,
User: kartik17
point-cloud 3d-deep-learning point-network dgcnn data-augmentation point-augment fgsm adversarial-attacks adversarial-examples gans

kartik17 / pointrcnn-argoverse
3d-deep-learning,PointRCNN configured to Argoverse/Custom dataset
User: kartik17
lidar-point-cloud object-detection deep-learning 3d 3d-deep-learning argoverse point-cloud bounding-boxes

lkhphuc / pytorch-3d-point-cloud-generation
3d-deep-learning,Pytorch code to construct a 3D point cloud model from single RGB image.
User: lkhphuc
Home Page: https://medium.com/@lkhphuc/create-3d-model-from-a-single-2d-image-in-pytorch-917aca00bb07
deep-learning 3d-deep-learning

minz95 / lmvcnn_pytorch
3d-deep-learning,Pytorch Implementation of Learning Local Shape Descriptors from Part Correspondences(ToG 2017, H Huang et al.): https://people.cs.umass.edu/~hbhuang/local_mvcnn/
User: minz95
3d-deep-learning feature-extraction lmvcnn-pytorch pytorch

mit-han-lab / spvnas
3d-deep-learning,[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Organization: mit-han-lab
Home Page: http://spvnas.mit.edu/
computer-vision deep-learning pytorch point-cloud lidar architecture-search efficiency 3d-deep-learning semantickitti

nvidiagameworks / kaolin
3d-deep-learning,A PyTorch Library for Accelerating 3D Deep Learning Research
Organization: nvidiagameworks
3d-deep-learning artificial-intelligence camera-api cuda differentiable-lighting differentiable-rendering neural-networks pytorch rasterization

nvidiagameworks / kaolin-wisp
3d-deep-learning,NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Organization: nvidiagameworks
3d-deep-learning nerf pytorch sdf neuralfields

qingyonghu / sota-point-cloud
3d-deep-learning,🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
User: qingyonghu
pointclouds 3d-deep-learning 3d-classification 3d-detection 3d-tracking 3d-segmentation semantic-segmentation instance-segmentation

simongiebenhain / nphm
3d-deep-learning,[CVPR'23] Learning Neural Parametric Head Models
User: simongiebenhain
Home Page: https://simongiebenhain.github.io/NPHM/
3d-reconstruction neural-fields 3d-deep-learning 3d-face-reconstruction cvpr-2023 implicit-representations morphable-model parametric

thibaultgroueix / atlasnet
3d-deep-learning,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.
User: thibaultgroueix
Home Page: http://imagine.enpc.fr/~groueixt/atlasnet/
3d 3d-deep-learning computer-vision cvpr2018 geometry-processing pytorch

thibaultgroueix / cycleconsistentdeformation
3d-deep-learning,This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
User: thibaultgroueix
Home Page: http://imagine.enpc.fr/~groueixt/sgp/index.html
3d-correspondences 3d-deep-learning atlasnet

tobias-kirschstein / nersemble
3d-deep-learning,[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
User: tobias-kirschstein
Home Page: https://tobias-kirschstein.github.io/nersemble/
3d-deep-learning 3d-face-reconstruction avatars digital-humans dynamic-nerf nerf neural-fields novel-view-synthesis siggraph2023

tri-ml / road
3d-deep-learning,ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes (CoRL 2022)
Organization: tri-ml
Home Page: https://zakharos.github.io/projects/road/
3d-deep-learning neural-fields octree pytorch

vita-epfl / monoloco
3d-deep-learning,A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Organization: vita-epfl
Home Page: https://vita.epfl.ch/monoloco
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

walsvid / generation3d
3d-deep-learning, 3D Shape Generation Baselines in PyTorch.
User: walsvid
3d-reconstruction deep-learning shape-generation 3d-deep-learning disn pixel2mesh

yukichiii / sparsepadding
3d-deep-learning,code release for paper "Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks"(ICCV 2021)
User: yukichiii
3d-deep-learning 3d 3d-vision semantic-segmentation object-detection

yukitsuji / 3d_cnn_tensorflow
3d-deep-learning,KITTI data processing and 3D CNN for Vehicle Detection
User: yukitsuji
3d-deep-learning vehicle-detection lidar point-cloud tensorflow 3d-cnn kitti-dataset

yvanali / grnet
3d-deep-learning,GRNet: Geometric Relation Network for 3D Object Detection from Point Clouds
User: yvanali
3d-deep-learning 3d-detection object-detection point-cloud

yvanali / tgnet
3d-deep-learning,TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation
User: yvanali
3d-deep-learning gcn-architecture point-cloud segmentation semantic-segmentation

zubair-irshad / nerf-mae
3d-deep-learning,[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
User: zubair-irshad
Home Page: https://nerf-mae.github.io/
3d 3d-deep-learning 3d-detection 3d-unet instant-ngp masked-autoencoder multi-view nerf neural-radiance-fields representation-learning