no code implementations • 15 May 2024 • Artur Grigorev, Giorgio Becherini, Michael J. Black, Otmar Hilliges, Bernhard Thomaszewski
In this work, we present \moniker{}, a learning-based solution for handling intersections in neural cloth simulations.
1 code implementation • CVPR 2024 • Haiyang Liu, Zihao Zhu, Giorgio Becherini, Yichen Peng, Mingyang Su, You Zhou, Xuefei Zhe, Naoya Iwamoto, Bo Zheng, Michael J. Black
We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, and global movements.
Ranked #5 on
Gesture Generation
on BEAT2
1 code implementation • CVPR 2024 • Kiran Chhatre, Radek Daněček, Nikos Athanasiou, Giorgio Becherini, Christopher Peters, Michael J. Black, Timo Bolkart
Once trained, AMUSE synthesizes 3D human gestures directly from speech with control over the expressed emotions and style by combining the content from the driving speech with the emotion and style of another speech sequence.