Projects in Awesome Lists tagged with 3d-deep-learning

https://github.com/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

Last synced: 14 May 2025

https://github.com/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

Last synced: 20 Mar 2025

https://github.com/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

Last synced: 27 Jan 2026

https://github.com/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

Last synced: 17 Mar 2025

https://github.com/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

Last synced: 15 May 2025

https://github.com/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

Last synced: 08 May 2025

https://github.com/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

Last synced: 13 May 2025

https://github.com/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

Last synced: 16 May 2025

https://github.com/autonomousvision/convolutional_occupancy_networks

[ECCV'20] Convolutional Occupancy Networks

3d-deep-learning 3d-reconstruction eccv-2020 implicit-representions neural-fields point-clouds scene-representations surface-reconstruction

Last synced: 12 Apr 2025

https://github.com/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

Last synced: 16 May 2025

https://github.com/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

Last synced: 04 Apr 2025

https://github.com/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

Last synced: 05 Apr 2025

https://github.com/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

Last synced: 20 Mar 2025

https://github.com/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

Last synced: 20 Mar 2025

https://github.com/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

Last synced: 07 May 2025

https://github.com/lkhphuc/pytorch-3d-point-cloud-generation

Pytorch code to construct a 3D point cloud model from single RGB image.

3d-deep-learning deep-learning

Last synced: 05 Apr 2025

https://github.com/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

Last synced: 19 Jul 2025

https://tobias-kirschstein.github.io/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

Last synced: 26 Mar 2025

https://github.com/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

Last synced: 20 Mar 2025

https://github.com/hkust-vgd/lcd

[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching

2d-3d-correspondences 3d-deep-learning descriptors pytorch

Last synced: 20 Mar 2025

https://github.com/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.

3d-deep-learning 3d-segmentation cvpr cvpr2020 dcm-net deep-learning scannet semantic-segmentation

Last synced: 20 Mar 2025

https://github.com/colin97/point2mesh

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

3d 3d-deep-learning 3d-reconstruction eccv2020 geodesic-distances mesh mesh-generation mesh-processing neural-network point-cloud pointclouds remeshing

Last synced: 04 Jul 2025

https://github.com/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