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Rethinking Multi-Scale Representations in Deep Deraining Transformer
FMRNet: Image Deraining via Frequency Mutual Revision
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI2024)
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt Inversion (IJCAI2024)
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining (CVPR 2024)
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
SwinIR: Image Restoration Using Swin Transformer (official repository)
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Official repository of Agent Attention (ECCV2024)
A curated list of awesome computer vision resources
PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
✨✨Latest Advances on Multimodal Large Language Models
Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
End-to-End Object Detection with Transformers