[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining

Official Pytorch Implementation of Universal Photometric Stereo Network using Global Lighting Contexts (CVPR2022)

Official Implementation of the CVPR'24 paper: SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction

整理 pytorch 单机多 GPU 训练方法与原理

CVPR 2024: Residual Denoising Diffusion Models

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

ACMMM2024: Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement

[ECCV'24] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.

[ECCV'24] Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement

TPAMI：Frequency-aware Feature Fusion for Dense Image Prediction

BMVC'23 | FiveA+Network: You Only Need 9K Parameters for Underwater Image Enhancement

Graduate Course at Westlake University

AAAI 2023 paper: Polarization-Aware Low-Light Image Enhancement

[ECCV 2024] Hierarchical Separable Video Transformer for Snapshot Compressive Imaging

Minimal Mamba-2 implementation in PyTorch

The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging"

[ACM MM2024] Official PyTorch Implementation for PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering.

[I3D 2024] Deblur-GS: 3D Gaussian Splatting from Camera Motion Blurred Images

Official pytorch implementation for "LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models"

Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment (ICCV2021)

"You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"

[CVPR 2024 Highlight] SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

课件：数字图像处理，深度学习，计算机视觉，机器学习