This repository serves as a curated collection of the latest research papers, open-source code, and demo videos from the CVPR 2024 conference. It aims to be a comprehensive resource for researchers and practitioners in computer vision, facilitating the discovery and adoption of cutting-edge techniques.

How It Works

The project functions as a community-driven knowledge base, aggregating links to papers, code repositories, and demonstration videos. It is organized by sub-fields within computer vision, allowing users to easily navigate and find relevant work. The structure facilitates quick access to the latest advancements in areas like Diffusion Models, Text-to-Image generation, NeRF, and various object detection and segmentation tasks.

Quick Start & Requirements

This repository is a curated list and does not require installation. Users can directly access the provided links to papers (typically PDFs on arXiv) and code repositories (usually GitHub).

Highlighted Details

• Comprehensive coverage of CVPR 2024 papers, code, and demos.
• Organized by numerous computer vision sub-categories for easy browsing.
• Actively updated with new submissions.
• Links to previous years' top conferences (CVPR, ICCV, ECCV) are also provided.

Maintenance & Community

The project encourages community contributions via GitHub issues for submitting new papers and code. It also promotes joining a WeChat group for discussion and learning, with contact information provided.

Licensing & Compatibility

The repository itself is a collection of links and does not impose a specific license. Individual code repositories will have their own licenses, which users must adhere to.

Limitations & Caveats

The quality and availability of code and demos depend entirely on the original authors. Some papers may not have publicly available code or demos at the time of listing. The project relies on community submissions, so completeness is subject to contributions.