xqwang14

xqwang14's Stars

• cmeraki/vit.triton

  VIT inference in triton because, why not?

  Language:Python16

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k1.9k

• mwray/Semantic-Video-Retrieval

  Code and benchmarks for the Semantic Video Retrieval Task

  Language:Python542

• xqwang14/SMS-Loss

  Language:Python3

• xqwang14/PCR-

  1

• OpenGVLab/DCNv4

  [CVPR 2024] Deformable Convolution v4

  Language:Python47327

• crhuang321/SAID

  Learned Scale-arbitrary Image Downscaling for Non-learnable Upscaling

  Language:Python4

• chaofengc/IQA-PyTorch

  👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

  Language:Python1.8k164

• AIM-SKKU/IFQA

  IFQA: Interpretable Face Quality Assessment - Official Pytorch Implementation (WACV 2023)

  Language:Python315

• MinJunKang/DualPixelFace

  Facial Depth and Normal Estimation using Dual-Pixel Camera (ECCV 22)

  Language:Python284

• GhiXu/Geo-Neus

  Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction (NeurIPS 2022)

  Language:Python29518

• fnzhan/EMLight

  [AAAI 2021] EMLight: Lighting Estimation via Spherical Distribution Approximation, [TIP] GMLight: Lighting Estimation via Geometric Distribution Approximation

  Language:Python17035

• dragen1860/GCN-PyTorch

  Graph Convolution Network for PyTorch

  Language:Python38786

• guohaoyuan/SDSN

  Codes for our paper SDSN

  Language:Python8

• XuecaiHu/Meta-SR-Pytorch

  Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

  Language:Python550121

• wenbihan/reproducible-image-denoising-state-of-the-art

  Collection of popular and reproducible image denoising works.

  2.4k509

• goldhuang/SRGAN-PyTorch

  A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".

  Language:Python8619

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• 958099161/PTGAN

  include model of PTGAN

  Language:Python52