Gesture Generation News
The latest Gesture Generation coverage curated for game developers.
A new motion-generation method uses speech cues to decide which gesture frames to mask, aiming to produce more natural co-speech animation. EchoMask builds a shared motion-audio space, then scores frame-level …
A new co-speech gesture system aims to make digital humans move more naturally while cutting inference from dozens of steps to a faster flow-matching pipeline. GestureLSM models body-region interactions with …
A new GENEA Challenge benchmark pushed speech-driven gesture generation through four large-scale human studies, with more than 23,000 votes from 869 testers. The results were sobering: motion realism improved on …
StreamTalk tackles a familiar real-time animation problem: gesture drift in streaming co-speech generation. The system adds a key-pose anchor at the end of each clip, then retrieves and refines motion …
A 106-hour, 764-speaker dataset is the main practical contribution here, because it lets gesture models be tested with speaker-disjoint splits instead of accidentally learning one person’s style. The paper argues …
PersonaGest introduces a novel approach to co-speech gesture generation, enhancing realism and personalization for developers in graphics and animation. By leveraging a two-stage framework that separates motion content from style, …
The introduction of Hierarchical Implicit Periodicity (HIP) learning marks a significant advancement in generating realistic co-speech gestures for 3D avatars. This method addresses the limitations of existing models by effectively …