mlsanityData to 14 Oct 2026

Contextual Gesture: Co-Speech Gesture Video Generation through Context-aware Gesture Representation

arXiv 2502.07239 ↗First posted 11 Feb 2025cs.CV cs.AIcited by 12

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Abstract (arXiv)

Co-speech gesture generation is crucial for creating lifelike avatars and enhancing human-computer interactions by synchronizing gestures with speech. Despite recent advancements, existing methods struggle with accurately identifying the rhythmic or semantic triggers from audio for generating contextualized gesture patterns and achieving pixel-level realism. To address these challenges, we introduce Contextual Gesture, a framework that improves co-speech gesture video generation through three innovative components: (1) a chronological speech-gesture alignment that temporally connects two modalities, (2) a contextualized gesture tokenization that incorporate speech context into motion pattern representation through distillation, and (3) a structure-aware refinement module that employs edge connection to link gesture keypoints to improve video generation. Our extensive experiments demonstrate that Contextual Gesture not only produces realistic and speech-aligned gesture videos but also supports long-sequence generation and video gesture editing applications, shown in Fig.1.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 57 of its 90 references that are in the map. First posted on arXiv 11 Feb 2025.

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57 of 90 references.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 7; 2026: 5.

12 papers.