FR-KAN official implementation

[ICLR2025] Kolmogorov-Arnold Transformer

All-KAN: All Kolmogorov-Arnold Networks We Know

ASID

Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.

TriAttNet is an advanced image super-resolution model that utilizes a Triple Attention Mechanism to enhance image quality by learning complex dependencies across channels, spatial regions, and glob…

Tool for automatically sorting python statements within a module

Automatically use the awesome walrus operator

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Free, open-source VHS effect. Standalone application + plugin (After Effects, Premiere, and OpenFX).

Efficient optimizers

PyTorch Implementation of "Unifying Dimensions: A Linear Adaptive Mixer for Lightweight Image Super-Resolution"

Official code for Sebica

[IEEE TIP] Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach

[CVPR-2024] Pytorch implementation of "Misalignment-Robust Frequency Distribution Loss for Image Transformation"

Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TorchFix - a linter for PyTorch-using code with autofix support

[TMLR 2024] Revisiting Random Weight Perturbation for Efficiently Improving Generalization

My implementation of Projected Distribution Loss (PDL)

Accepted by Visual Computer

Series solutions for Faster SR (NTIRE/ACCV 2024)

PyTorch implementation of "Towards lightweight image super-resolution via re-parameterized kernel recalibration"

[TMM 2024] "Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network"

Code of "LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution".

Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing