🎓Automatically Update Interested Papers Daily using Github Actions (Update Every 12th hours)
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Jun 5, 2024 - Python
🎓Automatically Update Interested Papers Daily using Github Actions (Update Every 12th hours)
Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop
PyTorch library for solving imaging inverse problems using deep learning
An all-purpose window upscaler for Windows 10/11.
Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
Open source Python library for building bioimage analysis pipelines
2^x Image Super-Resolution
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
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.
A toolbox for HSI-MSI fusion/pan-sharpening, including MoGDCN, Fusformer, PSRT, MSST, DCTransformer, iDaFormer, HySure, HyMS, DBSR, UDALN,uHNTC, and pretrained weights
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
实用、美观的 Real-ESRGAN 图形界面,同时支持 Windows、Ubuntu 和 macOS 平台。现在也支持 Real-CUGAN 了!(Cross-platform GUI for image upscaler Real-ESRGAN with additional features. Now with Real-CUGAN support!)
Presentation for paper "Single Image Super-Resolution Based on Capsule Neural Networks"
The repository is for Skoltech Master's thesis work on "GAN-based Multi-Image Super-Resolution for Remote Sensing Imagery"
Repository for our paper "See More Details: Efficient Image Super-Resolution by Experts Mining"
A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, scene text recognition and scene text detection.
PyTorch library to accelerate super-resolution research
RealScaler - image/video AI upscaler app (Real-ESRGAN)
Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Segmentation, Human Attribute Recognition, Pornography Detection, Image Super Resolution, Text Similarity, Car License Plate, etc.
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