Topic: image-restoration Goto Github
Some thing interesting about image-restoration
Some thing interesting about image-restoration
image-restoration,[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
User: algolzw
Home Page: https://algolzw.github.io/daclip-uir
image-restoration,Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
User: algolzw
Home Page: https://algolzw.github.io/ir-sde/index.html
image-restoration,Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)
User: baidut
Home Page: https://baidut.github.io/BIMEF/
image-restoration,Contrast Enhancement Techniques for low-light images
User: baidut
image-restoration,A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
User: caiyuanhao1998
image-restoration,"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction
User: caiyuanhao1998
Home Page: https://arxiv.org/abs/2204.07908
image-restoration,"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
User: caiyuanhao1998
Home Page: https://arxiv.org/abs/2303.06705
image-restoration,FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
User: cszn
Home Page: https://ieeexplore.ieee.org/abstract/document/8365806/
image-restoration,Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
User: cszn
Home Page: http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Learning_Deep_CNN_CVPR_2017_paper.pdf
image-restoration,Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
User: cszn
Home Page: https://cszn.github.io/
image-restoration,[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.
User: cuiziteng
image-restoration,A Collection of Papers and Codes in CVPR2023/2022 about low level vision
User: darrenpan
image-restoration,Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image restoration models.
Organization: fried-rice-lab
image-restoration,[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Organization: google-research
Home Page: https://arxiv.org/abs/2201.02973
image-restoration,Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
Organization: igitugraz
image-restoration,Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
User: janspiry
image-restoration,Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
User: jiaxi-jiang
Home Page: https://arxiv.org/abs/2109.14573
image-restoration,SwinIR: Image Restoration Using Swin Transformer (official repository)
User: jingyunliang
Home Page: https://arxiv.org/abs/2108.10257
image-restoration,A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
User: kobaayyy
image-restoration,Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".
User: lotayou
Home Page: https://arxiv.org/abs/2005.05005
image-restoration,Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
User: maclory
image-restoration,Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)
User: maclory
image-restoration,The state-of-the-art image restoration model without nonlinear activation functions.
Organization: megvii-research
image-restoration,Bringing Old Photo Back to Life (CVPR 2020 oral)
Organization: microsoft
Home Page: https://arxiv.org/abs/2004.09484
image-restoration,A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐
User: murufeng
image-restoration,AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges
User: mv-lab
Home Page: https://mv-lab.github.io/model-isp22/
image-restoration,InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
User: mv-lab
Home Page: https://mv-lab.github.io/InstructIR/
image-restoration,Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
User: mv-lab
Home Page: https://arxiv.org/abs/2209.11345
image-restoration,Awesome Remote Sensing Toolkit based on PaddlePaddle.
Organization: paddlepaddle
image-restoration,[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
Organization: researchmm
image-restoration,TensorFlow JS models for MIRNet for low-light💡 image enhancement
User: rishit-dagli
Home Page: https://rishit-dagli.github.io/MIRNet-TFJS/
image-restoration,[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution
User: sczhou
image-restoration,[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
User: sunny2109
image-restoration,[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis
User: swz30
image-restoration,[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
User: swz30
image-restoration,[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
User: swz30
image-restoration,[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
User: swz30
image-restoration,[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
User: swz30
image-restoration,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Organization: tencentarc
image-restoration,PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
User: va1shn9v
Home Page: https://arxiv.org/abs/2306.13090
image-restoration,traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
User: victorca25
image-restoration,A Tensorflow implementation of RetinexNet
User: weichen582
image-restoration,Collection of popular and reproducible image denoising works.
User: wenbihan
image-restoration,[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
User: wyhuai
image-restoration,AI无损放大工具
User: x-lucifer
image-restoration,Code for deep generative prior (ECCV2020 oral)
User: xingangpan
Home Page: https://arxiv.org/abs/2003.13659
image-restoration,Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
User: xinntao
image-restoration,NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
User: xinntao
Home Page: https://github.com/xinntao/Real-ESRGAN
image-restoration,[IJCNN 2023 Oral]: SpA-Former:An Effective and Lightweight Transformer for Image Shadow Removal
User: zhangbaijin
image-restoration,[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
User: zhendongwang6
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