wooseoklee4

wooseoklee4's Stars

• Wang-XIaoDingdd/LGBPN

  LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising (CVPR 2023)

  Language:Python475

• chaofengc/IQA-PyTorch

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

  Language:Python1.8k159

• IDKiro/StarEnhancer

  [ICCV 2021 Oral] StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement

  Language:Python14815

• Cheeun/DAQ-pytorch

  [WACV2022] Official Code for the "DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks"

  Language:Python231

• Cheeun/CADyQ

  [ECCV2022] Official Code for the "CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution"

  Language:Python564

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k410

• swz30/CycleISP

  [CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

  Language:Python49870

• colour-science/colour-demosaicing

  CFA (Colour Filter Array) demosaicing algorithms for Python

  Language:Jupyter Notebook27456

• zejinwang/Blind2Unblind

  This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".

  Language:Python11813

• bit-isp/Real-LLRVD

  Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset

  13

• wooseoklee4/AP-BSN

  Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in CVPR 2022.

  Language:Python9813

• srush/GPU-Puzzles

  Solve puzzles. Learn CUDA.

  Language:Jupyter Notebook5.6k330

• megvii-research/NAFNet

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

  Language:Python2.1k265

• Li-Chongyi/Zero-DCE

  Zero-DCE code and model

  Language:HTML773187

• microsoft/Bringing-Old-Photos-Back-to-Life

  Bringing Old Photo Back to Life (CVPR 2020 oral)

  Language:Python14.9k2k

• raywzy/Bringing-Old-Films-Back-to-Life

  Bringing Old Films Back to Life (CVPR 2022)

  Language:Python50748

• openai/guided-diffusion

  Language:Python6k803

• h4nwei/SPAQ

  [CVPR2020] Official SPAQ & Implementation

  Language:Python16535

• nothinglo/Deep-Photo-Enhancer

  TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

  786107

• IIGROUP/MANIQA

  [CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

  Language:Python29137

• mtli/HTML4Vision

  A simple HTML visualization tool for computer vision research :hammer_and_wrench:

  Language:Python23114

• cszn/SCUNet

  Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

  Language:Python63163

• Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

  70997

• Reyhanehne/CVF-SID_PyTorch

  Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (CVPR 2022)

  Language:Python6911

• DarrenPan/Awesome-CVPR2024-Low-Level-Vision

  A Collection of Papers and Codes in CVPR2023/2022 about low level vision

  64350

• yzhouas/PD-Denoising-pytorch

  Code of 'when AWGN-based Denoiser Meets Real Noises'

  Language:Python16330

• philipcdavis/responsive-resume

  Template for creating mobile optimized resumes

  Language:HTML313

• zhwhong/UIDNet

  End-to-End Unpaired Image Denoising with Conditional Adversarial Networks (AAAI-20)

  Language:Python232

• cszn/KAIR

  Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

  Language:Python2.9k617

• SeungjunNah/DeepDeblur-PyTorch

  Deep Multi-scale CNN for Dynamic Scene Deblurring

  Language:Python25340