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A PyTorch Library for Accelerating 3D Deep Learning Research
Created
2019-11-14
358 commits to master branch, last one a day ago
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
Created
2019-12-25
50 commits to master branch, last one 3 years ago
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Created
2022-07-26
156 commits to main branch, last one 6 months ago
pyntcloud is a Python library for working with 3D point clouds.
Created
2016-10-03
980 commits to master branch, last one 12 months ago
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Created
2018-12-19
25 commits to master branch, last one 4 years ago
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Created
2016-11-08
69 commits to master branch, last one 6 years ago
[ECCV'20] Convolutional Occupancy Networks
Created
2020-07-28
19 commits to master branch, last one about a year ago
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
Created
2020-03-19
43 commits to master branch, last one 3 years ago
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) fr...
Created
2018-01-10
189 commits to master branch, last one 2 years ago
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
This repository has been archived
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Created
2020-08-24
59 commits to master branch, last one 4 months ago
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Created
2019-05-13
297 commits to main branch, last one 3 years ago
Pytorch code to construct a 3D point cloud model from single RGB image.
Created
2018-12-10
53 commits to master branch, last one 5 years ago
[CVPR'23] Learning Neural Parametric Head Models
Created
2022-11-28
12 commits to main branch, last one 5 months ago
Research platform for 3D object detection in PyTorch.
Created
2020-01-07
98 commits to master branch, last one about a year ago
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
Created
2023-05-03
34 commits to master branch, last one 7 months ago
[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
Created
2020-12-02
73 commits to main branch, last one 2 years ago
[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Created
2019-11-21
18 commits to master branch, last one 2 years ago
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...
Created
2020-02-11
7 commits to master branch, last one 4 years ago
A collection of 3D vision and language (e.g., 3D Visual Grounding, 3D Question Answering and 3D Dense Caption) papers and datasets.
Created
2022-04-15
21 commits to main branch, last one about a year ago
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
Created
2021-02-13
26 commits to main branch, last one 2 years ago
a Pytorch library for multi-view 3D understanding and generation
Created
2022-07-19
117 commits to main branch, last one 3 months ago
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
3d
vit
nerf
3d-unet
multi-view
instant-ngp
3d-detection
transformers
super-resoluion
3d-deep-learning
neural-rendering
masked-autoencoder
vision-transformers
semantic-segmantation
neural-radiance-fields
feature-pyramid-network
region-proposal-network
representation-learning
differentiable-rendering
self-supervised-learning
Created
2024-03-27
11 commits to main branch, last one 3 months ago
A suite of scripts and easy-to-follow tutorial to process point cloud data with Python
Created
2020-11-24
31 commits to main branch, last one 4 months ago
[IEEE RAL] Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
Created
2021-04-28
4 commits to master branch, last one about a year ago
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification', Neurocomputing, 2022
Created
2021-01-05
10 commits to main branch, last one 2 years ago