Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …

Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shopping, and art/movie …

Achieving realistic, vivid, and human-like synthesized conversational gestures conditioned
on multi-modal data is still an unsolved problem due to the lack of available datasets …

Speech-driven gesture generation is highly challenging due to the random jitters of human
motion. In addition, there is an inherent asynchronous relationship between human speech …

Gestures, a form of body language, significantly influence how users perceive humanoid
robots. Recent data-driven methods for co-speech gestures have successfully enhanced the …

Although substantial progress has been made in audio-driven talking video synthesis, there
still remain two major difficulties: existing works 1) need a long sequence of training dataset …

The synthesis of lip movements is an important problem for a socially interactive agent (SIA).
It is important to generate lip movements that are synchronized with speech and have …

Virtual agent research has evolved into a substantial body of work, albeit one with a
fragmented structure and overlapping, and at times inconsistent, definitions and results. The …

Human motion generation, a cornerstone technique in animation and video production, has
widespread applications in various tasks like text-to-motion and music-to-dance. Previous …

Communication using manual (hand) gestures is considered a defining property of social
robots, and their physical embodiment and presence, therefore, we see a need for a …