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VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Zargarbashi, Fatemeh, Agrawal, Dhruv, Buhmann, Jakob, Guay, Martin, Coros, Stelian, Sumner, Robert W.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
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