{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/kornia-rs-a-low-level-3d-computer-vision","title":"Kornia-rs: A Low-Level 3D Computer Vision Library In Rust","arxiv_id":"2505.12425","date":"2025-05-18","proceeding":null,"authors":["Edgar Riba","Jian Shi","Aditya Kumar","Andrew Shen","Gary Bradski"],"abstract":"We present \\textit{kornia-rs}, a high-performance 3D computer vision library written entirely in native Rust, designed for safety-critical and real-time applications. Unlike C++-based libraries like OpenCV or wrapper-based solutions like OpenCV-Rust, \\textit{kornia-rs} is built from the ground up to leverage Rust's ownership model and type system for memory and thread safety. \\textit{kornia-rs} adopts a statically-typed tensor system and a modular set of crates, providing efficient image I/O, image processing and 3D operations. To aid cross-platform compatibility, \\textit{kornia-rs} offers Python bindings, enabling seamless and efficient integration with Rust code. Empirical results show that \\textit{kornia-rs} achieves a 3~ 5 times speedup in image transformation tasks over native Rust alternatives, while offering comparable performance to C++ wrapper-based libraries. In addition to 2D vision capabilities, \\textit{kornia-rs} addresses a significant gap in the Rust ecosystem by providing a set of 3D computer vision operators. This paper presents the architecture and performance characteristics of \\textit{kornia-rs}, demonstrating its effectiveness in real-world computer vision applications.","url_abs":"https://arxiv.org/abs/2505.12425v1","url_pdf":"https://arxiv.org/pdf/2505.12425v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"kornia-rs-a-low-level-3d-computer-vision","repo_url":"https://github.com/kornia/kornia-rs","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[{"method_slug":null,"method_name":"Library"},{"method_slug":"set","method_name":"SET"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}