This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

Official ImageNet Model repository

Official implementation for "Low-light Image Enhancement via Breaking Down the Darkness"

This project shows Image Super Resolution using Deep Learning . Seven models are implemented SRCNN, FSRCNN,ESPCN, RDN, RFDN, Autoencoder and ESRGAN.

Unsupervised Deep Learning for DAS-VSP Denoising Using Attention-Based Deep Image Prior

[MICCAI 2025] This is the official code for the paper "Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration"

Official implementation of the paper "Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising" (ICCV'25)

PyTorch implementation of zero-shot neural compression denoiser (NeurIPS 2025 Spotlight)

Lightweight single-image super-resolution based on RWKV

An Implementation and analysis on the paper "Image Denoising using the Higher Order Singular Value Decomposition".