Automated generation of 3D human motions from text is a challenging problem. The generated motions are expected to be sufficiently diverse to explore the text-grounded …
Diffusion models have experienced a surge of interest as highly expressive yet efficiently trainable probabilistic models. We show that these models are an excellent fit for …
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 …
How can we animate 3D-characters from a movie script or move robots by simply telling them what we would like them to do?" How unstructured and complex can we make a …
C Guo, X Zuo, S Wang, S Zou, Q Sun, A Deng… - Proceedings of the 28th …, 2020 - dl.acm.org
Action recognition is a relatively established task, where given an input sequence of human motion, the goal is to predict its action category. This paper, on the other hand, considers a …
C Ahuja, LP Morency - 2019 International Conference on 3D …, 2019 - ieeexplore.ieee.org
Generating animations from natural language sentences finds its applications in aa number of domains such as movie script visualization, virtual human animation and, robot motion …
Humans use gestures as a means of non-verbal communication. Often accompanying speech, these gestures have several purposes but in general, aim to convey an intended …
This paper presents a novel framework for automatic speech-driven gesture generation, applicable to human-agent interaction including both virtual agents and robots. Specifically …
We propose the first approach to synthesize the synchronous 3D conversational body and hand gestures, as well as 3D face and head animations, of a virtual character from speech …