Oct 1, 2021 · GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction. Authors:Qianhui Men, Hubert P. H. Shum, Edmond ...

A generative adversarial network to synthesize reactive motion in an interaction. •. A generator implemented with an attentive part-aware recurrent network.

First, to effectively encode the complicated spatial-temporal information of a human motion, we empower the generator with a part-based long short-term memory.

This work shows that it can generate synthetic human motion over both short- and long-time horizons through the use of adversarial attention, and presents a ...

Oct 19, 2021 · Our key insights are two-fold. First, to effectively encode the complicated spatial–temporal information of a human motion, we empower the ...

Oct 1, 2021 · We demonstrate the effectiveness of the proposed re- active motion synthesis method on two popular human- human interaction datasets SBU [24] ...

Feb 1, 2022 · A generative adversarial network to synthesize reactive motion in an interaction. •. A generator implemented with an attentive part-aware ...

Producing realistic character animations is one of the essential tasks in human-AI interactions. Considered as a sequence of poses of a humanoid, the task can ...

Oct 4, 2021 · Creating realistic characters that can react to the users' or another character's movement can benefit computer graphics, games and virtual ...

from publication: GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction | Creating realistic characters that can react