MotionPrint: A Client-Side Cryptographic Provenance Protocol for 3D Motion Data
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902318359773184 |
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| author | Reis Verdin, Isaias |
| author_facet | Reis Verdin, Isaias |
| contents | <p>The integration of Generative AI into 3D content pipelines requires verifiable provenance mechanisms. Existing watermarking techniques for 3D assets are often destructive, format-dependent, or vulnerable to removal. This paper describes MotionPrint, a cryptographic provenance protocol engineered for 3D motion interchange formats (glTF/GLB, BVH). Unlike server-centric approaches, MotionPrint implements a privacy-first, client-side architecture using WebAssembly to process assets entirely within browser memory. By implementing Ed25519 digital signatures within standard metadata containers, the protocol enables trustless verification of authorship without reliance on centralized registries or alteration of animation fidelity.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17843580 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | MotionPrint: A Client-Side Cryptographic Provenance Protocol for 3D Motion Data Reis Verdin, Isaias Generative AI Cryptographic Provenance 3D Animation WebAssembly Ed25519 glTF BVH Digital Watermarking Privacy-Preserving Motion Capture text to motion AI animations Kinetiq convert models animations adult animations motionprint <p>The integration of Generative AI into 3D content pipelines requires verifiable provenance mechanisms. Existing watermarking techniques for 3D assets are often destructive, format-dependent, or vulnerable to removal. This paper describes MotionPrint, a cryptographic provenance protocol engineered for 3D motion interchange formats (glTF/GLB, BVH). Unlike server-centric approaches, MotionPrint implements a privacy-first, client-side architecture using WebAssembly to process assets entirely within browser memory. By implementing Ed25519 digital signatures within standard metadata containers, the protocol enables trustless verification of authorship without reliance on centralized registries or alteration of animation fidelity.</p> |
| title | MotionPrint: A Client-Side Cryptographic Provenance Protocol for 3D Motion Data |
| topic | Generative AI Cryptographic Provenance 3D Animation WebAssembly Ed25519 glTF BVH Digital Watermarking Privacy-Preserving Motion Capture text to motion AI animations Kinetiq convert models animations adult animations motionprint |
| url | https://doi.org/10.5281/zenodo.17843580 |