Eileen000

Eileen000's Stars

• KwaiVGI/Uniaa

  Unified Multi-modal IAA Baseline and Benchmark

  685

• google-research-datasets/richhf-18k

  RichHF-18K dataset contains rich human feedback labels we collected for our CVPR'24 paper: https://arxiv.org/pdf/2312.10240, along with the file name of the associated labeled images (no urls or images are included in this dataset).

  962

• weigerzan/ProjDiff

  Codebase for paper tiltled "Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems"

  Language:Python9

• caiyuanhao1998/Retinexformer

  "Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

  Language:Python83265

• jinnh/GSAD

  [NeurIPS 2023] Global Structure-Aware Diffusion Process for Low-Light Image Enhancement

  Language:Python1149

• CSYanH/MAP-Diff

  Multiscale-Aided Patch Diffusion Model (MAP-Diff)

  1

• YuyangYin/CLEDiffusion

  (MM2023)CLE Diffusion: Controllable Light Enhancement Diffusion Model. Authors: Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zhao, Yunchao Wei

  Language:Python614

• zhonglingyuxiuYYX/DLS-NUC

  Testing code for "Zewei He, Yanpeng Cao, Yafei Dong, Jiangxin Yang, Yanlong Cao, and Christel-Löic Tisse, "Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: a deep-learning approach," Appl. Opt. 57, D155-D164 (2018)"

  Language:MATLAB45

• ZeshanFayyaz/Deep-Unfolding-for-Iterative-Stripe-Noise-Removal

  Language:Python91

• jinyeying/night-enhancement

  [ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

  Language:HTML39334

• jinyeying/DC-ShadowNet-Hard-and-Soft-Shadow-Removal

  [ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434

  Language:Python21221

• langmanbusi/Semantic-Aware-Low-Light-Image-Enhancement

  Semantic-Aware LLIE. CVPR 2023

  Language:Python1907

• zhangyi-3/KBNet

  KBNet: Kernel Basis Network for Image Restoration

  Language:Python18924

• yjn870/RDN-pytorch

  PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

  Language:Python12226

• sanghyun-son/EDSR-PyTorch

  PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

  Language:Python2.4k669

• yulunzhang/RDN

  Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

  Language:Lua545108

• erfect2020/DecompositionForFusion

  Code for "Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion"(ECCV2022)

  Language:Python388

• FanChiMao/HWMNet

  Half Wavelet Attention on M-Net+ for Low-light Image Enhancement

  Language:Python8314

• Fayeben/GenerativeDiffusionPrior

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

  Language:Shell26430

• huawei-noah/Efficient-Computing

  Efficient computing methods developed by Huawei Noah's Ark Lab

  Language:Jupyter Notebook1.2k207

• Linfeng-Tang/MSRS

  MSRS: Multi-Spectral Road Scenarios for Practical Infrared and Visible Image Fusion

  Language:Python11721

• JorgeFCS/Image-fusion-GAN

  Implementation of the FIRe-GAN model, a GAN-based method for the fusion of visible-infrared images.

  Language:Python204

• WeiWu-WIT/SDDGAN

  Language:Python121

• thfylsty/ImageFusion_Dualbranch_Fusion

  A Dual branch Network for Infrared and Visible Image Fusion (published by ICPR2020)

  Language:Python536

• luissen/ESRT

  Language:Python16141

• JinyuanLiu-CV/TarDAL

  CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

  Language:Python18844

• hermosayhl/DeepUPE_pytorch

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

  Language:Python8016

• mahmoudnafifi/Exposure_Correction

  Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

  Language:MATLAB52466

• jiayi-ma/STDFusionNet

  The code of STDFusionNet

  222

• hezw2016/CDN_MRF

  Testing code for CDN_MRF: Z. He, S. Tang, J. Yang, Y. Cao, M. Y. Yang, and Y. Cao, “Cascaded Deep Networks with Multiple Receptive Fields for Infrared Image Super-Resolution,” IEEE Trans. Circuits Syst. Video Technol., 2018. (Accepted)

  Language:MATLAB144