May 27, 2024, 4:45 a.m. | Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, G\"ul Varol, Xue Bin Peng, Davis Rempe

cs.LG updates on

arXiv:2401.08559v2 Announce Type: replace-cross
Abstract: Recent advances in generative modeling have led to promising progress on synthesizing 3D human motion from text, with methods that can generate character animations from short prompts and specified durations. However, using a single text prompt as input lacks the fine-grained control needed by animators, such as composing multiple actions and defining precise durations for parts of the motion. To address this, we introduce the new problem of timeline control for text-driven motion synthesis, which …

arxiv control cs.lg human replace text timeline type

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