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Holds AI models for RealScaler and QualityScaler in pth format
A lightweight, stable, and performance-focused customized version of Windows that enhances privacy and compatibility
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
UniGetUI: The Graphical Interface for your package managers. Could be terribly described as a package manager manager to manage your package managers
A fully customizable messagebox for customtkinter! (extension/add-on)
Materialize Multiplatform ( Linux and Windows). Materialize is a program for converting images to materials for use in video games and similars. Multiplatform Version.
Multi-class confusion matrix library in Python
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
N-dimensional NumPy array tiling and merging with overlapping, padding and tapering
A tool to personalize ReviOS to your needs
Code for FLAVR: A fast and efficient frame interpolation technique.
A Python package that lets you quickly split an image into rows and columns (tiles).
[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/m…
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration
A free portable photo editor focused on pro-grade features, high performance, and maximum usability.
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)
Collect super-resolution related papers, data, repositories