Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

A toolbox for HSI-MSI fusion, including MoGDCN, Fusformer, PSRT, MSST, DCTransformer, iDaFormer

🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 🌍🛰️

🎓Automatically Update Interested Papers Daily using Github Actions (Update Every 12th hours)

web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD

Comparative study of lightweight generator models (ESPCN, FSRCNN, IDN) in the SRGAN framework for Single Image Super-Resolution (SISR). Explore the trade-offs between performance and efficiency in GAN-based SISR.

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

PyTorch library for solving imaging inverse problems using deep learning

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild

Open source Python library for building bioimage analysis pipelines

An all-purpose window upscaler for Windows 10/11.

Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE TIM2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].

Upscale manga with ESRGAN models

A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。| 基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。

A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision

neosr is a framework for training real-world single-image super-resolution networks.

SwinIR: Image Restoration Using Swin Transformer (official repository)

[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge

2^x Image Super-Resolution