The best ChatGPT that $100 can buy.

[CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration

The official code of paper "Online Streaming Video Super-Resolution with Convolutional Look-Up Table".

[arXiv 2024] PyTorch implementation of UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity

[IEEE TPAMI 2025] A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

LangChain 的中文入门教程

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

MMaDA - Open-Sourced Multimodal Large Diffusion Language Models

[AAAI 2025] Event-Enhanced Blurry Video Super-Resolution

CVPR 2025 - BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution

A latent text-to-image diffusion model

[CVPR 2024 Oral] Official repository of FMA-Net

Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation

AI 算法岗简历模板

VRT: A Video Restoration Transformer (official repository)

A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift

[CVPR 2023] This repository is the official PyTorch implementation of "Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring".

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency (WACV 2024)

PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

Quantization of Convolutional Neural networks.

This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poster Highlight)

Post-Training Quantization for Vision transformers.

This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…