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The GitHub repository for the paper "Informer" accepted by AAAI 2021.
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
收录及复现的高光谱遥感图像分类模型
This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"
The official implementation of DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
[IEEE TGRS 2024] EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Papers related to remote sensing in CVPR 2024
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]
Techniques for deep learning with satellite & aerial imagery
PyTorch code for our paper "Image Super-Resolution with Text Prompt Diffusion"
This is official Pytorch implementation of "SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer"
SwinIR: Image Restoration Using Swin Transformer (official repository)
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
Vizro is a toolkit for creating modular data visualization applications.
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.