yiqun-wang

yiqun-wang's Stars

• yiqun-wang/Factored-NeuS

  Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects

  Language:Python111

• yiqun-wang/PET-NeuS

  PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)

  Language:Python2625

• yiqun-wang/HFS

  HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)

  Language:Python2229

• universome/epigraf

  [NeurIPS 2022] Official pytorch implementation of EpiGRAF

  Language:Python1506

• yiqun-wang/MGCN

  MGCN: Descriptor Learning using Multiscale GCNs (SIGGRAPH 2020)

  Language:Python387

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k295

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.1k3.6k

• liuzhuang13/DenseNet

  Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

  Language:Lua4.7k1.1k

• Totoro97/NeuS

  Code release for NeuS

  Language:Python1.6k211

• cleardusk/3DDFA_V2

  The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

  Language:Python2.9k510

• huaiwen/Adversarial-Autoencoder

  An adversarial autoencoder implementation in pytorch

  Language:Python1

• cleardusk/MeGlass

  An eyeglass face dataset collected and cleaned for face recognition evaluation, CCBR 2018.

  34361

• cleardusk/3DDFA

  The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

  Language:Python3.6k651

• cleardusk/MFR

  Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

  14716