CVPR2025-Papers-with-Code

This repository aggregates papers and associated code from the CVPR 2026 conference and related top-tier computer vision events, offering a single curated index of recent research outputs across many subfields like 3D vision, segmentation, and multimodal learning. It differs from generic paper aggregators by focusing exclusively on CVPR and closely related conferences, with a strong emphasis on linking to open source implementations. ML and AI engineers who need rapid access to the latest vision research implementations will find it useful for keeping up with state-of-the-art methods without manually hunting through multiple sources. With over 21,000 stars and recent commits, it shows community interest and ongoing maintenance. However, it is not suitable as a comprehensive research management tool or for teams needing integrated experiment tracking or model hosting, where platforms like Papers With Code or Weights & Biases would be better choices.

Use this repository when you want a focused, community-curated list of CVPR 2026 papers with links to code, especially if you prioritise breadth across many vision subdomains. Consider Papers With Code instead if you need broader conference coverage and integrated leaderboards, or Semantic Scholar for detailed citation analysis and paper metadata.

It typically supports research teams and engineers working on computer vision prototypes or benchmarking new algorithms, especially those experimenting with recent CVPR innovations. It suits teams building vision modules for applications like autonomous driving, medical imaging, or multimodal AI systems who require up-to-date reference implementations.

Latest commit: 2025-07-02. Activity data is based on daily RepoPi snapshots of the GitHub repository.