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Found 2 papers, 1 papers with code
Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning
Our network consists of two components: a generator to synthesize gestures from a joint embedding space of features encoded from the input speech and the seed poses, and a discriminator to distinguish between the synthesized pose sequences and real 3D pose sequences.
Ranked #4 on
Gesture Generation
on TED Gesture Dataset
Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction
Reflective and textureless surfaces such as windows, mirrors, and walls can be a challenge for object and scene reconstruction.
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