#计算机科学#GFPGAN 是腾讯开源的人脸修复算法,它利用预先训练好的面部 GAN(如 StyleGAN2)中封装的丰富和多样的先验因素进行盲脸 (blind face) 修复
Real-ESRGAN 的目标是开发出实用的图像修复算法
Bringing Old Photo Back to Life (CVPR 2020 oral)
翻译 - 重现旧照片(CVPR 2020口头)
SwinIR: Image Restoration Using Swin Transformer (official repository)
翻译 - SwinIR:使用 Swin Transformer 的图像恢复
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
#计算机科学#Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
翻译 - 图像还原工具箱(PyTorch)。 DnCNN,FFDNet,SRMD,DPSR,MSRResNet,ESRGAN,IMDN的培训和测试代码
#计算机科学#Collection of popular and reproducible image denoising works.
The state-of-the-art image restoration model without nonlinear activation functions.
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
翻译 - “多阶段渐进式图像恢复”(CVPR 2021) 的官方存储库。图像去模糊、去雨和去噪的 SOTA 结果。
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
A Collection of Papers and Codes for CVPR2025/CVPR2024/CVPR2021/CVPR2020 Low Level Vision
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
#计算机科学#[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
#计算机科学#[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.