Showing 1-9 of 9 projects
A cross-platform image super-resolution tool built with TypeScript, Vue3, and PyTorch.
An open-source project that provides a state-of-the-art image restoration model using the Swin Transformer architecture.
State-of-the-art image restoration model without nonlinear activation functions
Highly efficient transformer-based model for high-resolution image restoration tasks like deblurring, deraining, and denoising.
A collection of papers and code for CVPR conferences focused on low-level computer vision tasks.
A video restoration transformer for deblurring, denoising, and super-resolution of videos.
An open-source, state-of-the-art image restoration library for deblurring, denoising, and deraining tasks.
DeblurGAN-v2 is a deep learning-based solution for fast and high-quality image deblurring, useful for vibe coders working with computer vision.
Powerful SOTA computer vision model for various image enhancement tasks like denoising, deblurring, and more.
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