Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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Updated
May 29, 2024 - Python
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
A Collection of Low Level Vision Research Groups
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
The official PyTorch implementation for CascadedGaze: Efficiency in Global Context Extraction for Image Restoration, TMLR'24.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Restoring image with noise using Python
neosr is a framework for training real-world single-image super-resolution networks.
AI无损放大工具
[Neural Networks] Dual-domain strip attention for 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
Prompt-based Ingredient-Oriented All-in-One Image Restoration
Official PyTorch implementation of "PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery" (ECAI 2023).
SwinIR: Image Restoration Using Swin Transformer (official repository)
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Deep Physics-Guided Unrolling Generalization for Compressed Sensing (IJCV 2023) [PyTorch]
[CVPR 2024] Code for our Paper "CFAT: Unleashing Triangular Windows for Image Super-resolution"
Official repository of "Deep Image Restoration For Image Anti-Forensics"
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Generate Images, Upscale Images, Fix Faces and Replace background using custom Stable DIffusion Models
[AAAI2024] Omni-Kernel Network for Image Restoration
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