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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Official Code for DragGAN (SIGGRAPH 2023)
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 …
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly …
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
A Unified Framework for Surface Reconstruction
CUDA accelerated rasterization of gaussian splatting
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024)
[ECCV2024] An official pytorch implement of the paper "MambaIR: A simple baseline for image restoration with state-space model".
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…
(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution