cvpr

CVPR 2026 论文和开源项目合集

This repository is no longer maintained.

My Python scripts to make high-quality figures for publications in top AI conferences and journals.

📚 数千篇 AI、LLM、NLP、CV 顶会论文解读，每篇 5 分钟读懂核心思想。

About This repository is a curated collection of the most exciting and influential CVPR 2025 papers. 🔥 [Paper + Code + Demo]

This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]

A Collection of Papers and Codes for CVPR2026/CVPR2025/ICCV2025/CVPR2024/ECCV2026/ECCV2024 AIGC

This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

[CVPR 2024 Highlight] MIGC and [TPAMI 2024] MIGC++ (Official Implementation)

[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

[CVPR 2024] Official repository of "Material Palette: Extraction of Materials from a Single Real-world Image"

[CVPR 2025] FaithDiff for Classic Film Rejuvenation, Old Photo Revival, Social Media Restoration, Image Enhancement and AIGC Enhancement.

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

🤩 An AWESOME Curated List of Papers, Workshops, Datasets, and Challenges from CVPR 2024

[CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".

A Collection of AIGC Research Groups

AI skills for academic paper figures: repo analysis, figure planning, colorblind palettes, JSON figure specs. Install: npx skills add Azhi-ss/academic-figure-skills

[CVPR 2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

[CVPR'22] Official PyTorch Implementation of "Collaborative Transformers for Grounded Situation Recognition"

[CVPR 2026] This is the official PyTorch implementation of "MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping".