CVPR2025-Papers-with-Code

CVPR2025-Papers-with-Code addresses the challenge of keeping up with the rapid advancements in computer vision research. For ML and AI teams, this repository serves as a comprehensive collection of cutting-edge papers and their corresponding open source projects, enabling engineers to leverage the latest techniques in their own work. The repository is production-ready, with a maturity level that reflects the active contributions and peer-reviewed nature of the included projects. However, it may not be suitable for teams looking for niche solutions outside the mainstream computer vision topics covered.

This repository is a strong choice when teams want to integrate the latest computer vision research into their projects or seek inspiration for new approaches. Teams should consider alternatives if they require highly specialised solutions not represented in the CVPR papers.

This repository is particularly useful for ML engineers, data scientists, and AI researchers who are focused on developing computer vision applications. It typically supports products and systems that involve image processing, object detection, and automated visual analysis.

Latest commit: 2025-07-02. Over the past 96 days, this repository gained 460 stars (+2.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.