lijiasheng11

lijiasheng11's Stars

• princeton-vl/RAFT

  Language:Python3.2k623

• Fayeben/GenerativeDiffusionPrior

  Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR2023)

  Language:Shell26029

• dengyecode/hourglassattention

  Language:Python213

• megvii-research/HDR-Transformer

  The official MegEngine implementation of the ECCV 2022 paper: Ghost-free High Dynamic Range Imaging with Context-aware Transformer

  Language:Python9010

• zengyh1900/Awesome-Image-Inpainting

  A curated list of image inpainting and video inpainting papers and resources

  Language:Python1.8k253

• vt-vl-lab/3d-photo-inpainting

  [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

  Language:Python6.9k1.1k

• geekyutao/Inpaint-Anything

  Inpaint anything using Segment Anything and inpainting models.

  Language:Jupyter Notebook6.2k513

• liuzhen03/HDR-Transformer-PyTorch

  The official PyTorch implementation of the ECCV 2022 paper: Ghost-free High Dynamic Range Imaging with Context-aware Transformer

  Language:Python6612

• liuzhen03/ADNet

  Pytorch implementation of ADNet. (The winning method of the first edition of NTIRE2021 Multi-Frame HDR Challenge)

  Language:Python7716

• chengdazhi/Deformable-Convolution-V2-PyTorch

  Deformable ConvNets V2 (DCNv2) in PyTorch

  Language:Cuda1.4k229

• lucasjinreal/DCNv2_latest

  DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

  Language:C++624124

• CharlesShang/DCNv2

  Deformable Convolutional Networks v2 with Pytorch

  Language:C++1.3k400

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.2k266

• Visillect/CubePlusPlus

  Cube++ is a novel dataset collected for illumination estimation problem. It has 4890 raw 18-megapixel images, each containing a SpyderCube color target in their scenes, manually labelled categories, and ground truth illumination chromaticities.

  Language:Python496

• i13abe/Triplet-Loss-for-Knowledge-Distillation

  Triplet Loss for Knowledge Distillation

  Language:Jupyter Notebook178

• szagoruyko/attention-transfer

  Improving Convolutional Networks via Attention Transfer (ICLR 2017)

  Language:Jupyter Notebook1.4k275

• Vincent-Hoo/Knowledge-Distillation-for-Super-resolution

  ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution

  Language:Python14223

• njulj/RFDN

  Residual Feature Distillation Network for Lightweight Image Super-Resolution

  Language:Python35543

• fangwei123456/PixelUnshuffle-pytorch

  PixelUnshuffle, inverse operation of PixelShuffle

  Language:Python217

• fedral/PixelUnshuffle-pytorch

  PixelUnshuffle, inverse operation of PixelShuffle

  21

• daquexian/onnx-simplifier

  Simplify your onnx model

  Language:C++3.8k379

• hermosayhl/DeepUPE_pytorch

  unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)

  Language:Python8016

• cwxcode/HDR_Net_Google

  Language:Python72

• Po-Hsun-Su/pytorch-ssim

  pytorch structural similarity (SSIM) loss

  Language:Python1.9k364

• arnab39/cycleGAN-PyTorch

  A clean and lucid implementation of cycleGAN using PyTorch

  Language:Python11740

• atomicoo/EnhanceIMG

  Image-enhancement algorithms: low-light enhancement, image restoration, super-resolution reconstruction. 图像增强算法探索：低光增强、图像修复、超分辨率重建 ……

  Language:Python14420

• aasharma90/RetinexNet_PyTorch

  Unofficial PyTorch code for the paper - Deep Retinex Decomposition for Low-Light Enhancement, BMVC'18

  Language:Python18128

• MinfengZhu/EEMEFN

  Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network

  Language:Python463

• lijiasheng11/StableLLVE

  Learning Temporal Consistency for Low Light Video Enhancement from Single Images (CVPR2021)

  1

• goutamgmb/NTIRE21_BURSTSR

  Language:Python8515