This paper reports on the GENEA Challenge 2023, in which participating teams built speech-
driven gesture-generation systems using the same speech and motion dataset, followed by …

This study aims to improve the generation of 3D gestures by utilizing multimodal information
from human speech. Previous studies have focused on incorporating additional modalities …

Gesture synthesis is a vital realm of human-computer interaction, with wide-ranging
applications across various fields like film, robotics, and virtual reality. Recent advancements …

Current talking avatars mostly generate co-speech gestures based on audio and text of the
utterance, without considering the non-speaking motion of the speaker. Furthermore …

Co-speech gesture generation is crucial for producing synchronized and realistic human
gestures that accompany speech, enhancing the animation of lifelike avatars in virtual …

Although humans engaged in face-to-face conversation simultaneously communicate both
verbally and non-verbally methods for joint and unified synthesis of speech audio and co …

Recent advancements in the field of Diffusion Transformers have substantially improved the
generation of high-quality 2D images, 3D videos, and 3D shapes. However, the …

Audio-driven co-speech human gesture generation has made remarkable advancements
recently. However, most previous works only focus on single person audio-driven gesture …

Speech-driven gesture generation is an emerging field within virtual human creation.
However, a significant challenge lies in accurately determining and processing the multitude …

The generation of co-speech gestures for digital humans is an emerging area in the field of
virtual human creation. Prior research has progressed by using acoustic and semantic …