This is the Pytorch implementation of "OneRestore: A Universal Restoration Framework for Composite Degradation"
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Updated
Jul 8, 2024 - Python
This is the Pytorch implementation of "OneRestore: A Universal Restoration Framework for Composite Degradation"
Deep learning training framework for image super resolution and restoration.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
neosr is a framework for training real-world single-image super-resolution networks.
Restoration for TEMPEST images using deep-learning
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
The state-of-the-art image restoration model without nonlinear activation functions.
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
Generate Images, Upscale Images, Fix Faces and Replace background using custom Stable DIffusion Models
[AAAI2024] Omni-Kernel Network for Image Restoration
[ICLR 2023] Selective Frequency Network for Image Restoration
[ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
Official implementation of the paper "DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring".
[CVPR 2024] "CFAT: Unleashing Triangular Windows for Image Super-resolution"
This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
[ECCV 2022 & T-PAMI 2024] Multiple Look-Up Tables for Efficient Image Restoration
Learning Accurate and Enriched Features for Stereo Image Super-Resolution
Compound Multi-branch Feature Fusion for Real Image Restoration
This is the official PyTorch implementation of DehazeDCT. Our method achieves the second best performance in NTIRE 2024 Dense and NonHomogeneous Dehazing Challenge (CVPR workshop))
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