lishawa's Stars
rick-ali/Metric-Learning-for-CGENNs
Code used by the 'Metric Learning for Clifford Group Equivariant Neural Networks' paper.
hehefan/Awesome-Dynamic-Point-Cloud-Analysis
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
nmwsharp/diffusion-net
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
nmwsharp/discretization-robust-correspondence-benchmark
Benchmark for the generalization of 3D machine learning models across different remeshing/samplings of a surface.
Little-Podi/AiATrack
[ECCV'22] The official PyTorch implementation of our ECCV 2022 paper: "AiATrack: Attention in Attention for Transformer Visual Tracking".
HuajianUP/360VOT
Python Toolkit for 360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking, ICCV2023
zhenhuat/STCFormer
(CVPR2023)3D Human Pose Estimation with Spatio-Temporal Criss-cross Attention
princeton-vl/RAFT
NVlabs/PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
itailang/SCOOP
Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)
cvzoya/saliency
Code for http://saliency.mit.edu/
Qualcomm-AI-research/geometric-algebra-transformer
FabianFuchsML/se3-transformer-public
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
DavidRuhe/clifford-group-equivariant-neural-networks
Code used by the "Clifford Group Equivariant Neural Networks" paper.
pdearena/pdearena
mevalle/Hypercomplex-valued-Convolutional-Neural-Networks
microsoft/cliffordlayers
adrienPoulenard/MDGCNN
Multi Directional Geodesic Convolutional Neural Networks
nivha/surface_networks_covers
Chen-Cai-OSU/awesome-equivariant-network
Paper list for equivariant neural network
maxjiang93/ugscnn
Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators
rubenwiersma/deltaconv
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
WanquanF/NeuralPoints
【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
HaolinLiu97/PUGAN-pytorch
Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
zademn/PU-GCN-pytorch
Rewriting the PU-GCN paper in pytorch and enhancing it
guochengqian/PU-GCN
[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
valeoai/POCO
gallego-posada/eman
Equivariant Mesh Attention Networks
canonical-capsules/canonical-capsules
Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)