BlurLabsAI/blurlabs

Official code repository for "PixRestore: Unified Image Restoration via Pixel Diffusion Transformer".

The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Image Deblurring'

Deep-learning library for image restoration.

[PG 2023] WaveNet: Wave-Aware Image Enhancement

Repository for Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

Deep learning framework for MRI reconstruction

All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.

A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.

My self-trained AI models for photorealistic image upscaling and restoration. Built on ESRGAN, SAFMN, RealPLKSR and other architectures and trained on a manually curated high-end dataset (11,750+ real-world HD images). Models excel at restoring authentic textures and objects (skin, fabric, grit) and handle various types of degradation.