Contextual Gesture: Co-Speech Gesture Video Generation through Context-aware Gesture Representation
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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.
Builds on
57 of 90 references.
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50 most cited of 57 All 57 (JSON)
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Citing papers per year: 2025: 7; 2026: 5.
12 papers.
- 2025Intentional Gesture: Deliver Your Intentions with Gestures for Speechcited by 8
- 2025Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Ruminationcited by 6
- 2026LiveGesture Streamable Co-Speech Gesture Generation Modelcited by 5
- 2026SemConFlow: Semantic Grounding of Holistic Co-Speech Gesture Generation with Contrastive Flow-Matchingcited by 4
- 2025MirrorMe: Towards Realtime and High Fidelity Audio-Driven Halfbody Animationcited by 3
- 2025Diffusion-Based Image Editing: An Unforeseen Adversary to Robust Invisible Watermarkscited by 3
- 2026GestureFAR: Streaming Co-Speech Gesture Generation with Flow Autoregressioncited by 1
- 2025Semantics-Aware Human Motion Generation from Audio Instructionscited by 0
- 2025FADE: Adversarial Concept Erasure in Flow Modelscited by 0
- 2025Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustnesscited by 0
- 2026TDMM-LM: Bridging Facial Understanding and Animation via Language Modelscited by 0
- 2026InteractGesture: Progressive Chunk Guidance for Continuous Streaming Co-Speech Gesture Controlcited by 0
- 2026GestureFAR: Streaming Co-Speech Gesture Generation with Flow Autoregression18 Sep 2026
- 2026InteractGesture: Progressive Chunk Guidance for Continuous Streaming Co-Speech Gesture Control26 Aug 2026
- 2026LiveGesture Streamable Co-Speech Gesture Generation Model13 Apr 2026
- 2026SemConFlow: Semantic Grounding of Holistic Co-Speech Gesture Generation with Contrastive Flow-Matching27 Mar 2026
- 2026TDMM-LM: Bridging Facial Understanding and Animation via Language Models14 Mar 2026
- 2025Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination21 Nov 2025
- 2025Diffusion-Based Image Editing: An Unforeseen Adversary to Robust Invisible Watermarks5 Nov 2025
- 2025Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and Robustness15 Sep 2025
- 2025FADE: Adversarial Concept Erasure in Flow Models16 Jul 2025
- 2025MirrorMe: Towards Realtime and High Fidelity Audio-Driven Halfbody Animation27 Jun 2025
- 2025Semantics-Aware Human Motion Generation from Audio Instructions29 May 2025
- 2025Intentional Gesture: Deliver Your Intentions with Gestures for Speech21 May 2025