10 citations · 11 across the 3 of their papers we have counts for
3 papers
Flexible Motion Generation from Language and Style References
Kai Weixian Lan, Bodie Criswell, Briana Fedkiw +3
We introduce FlexMoGen, a novel framework for flexible human motion synthesis conditioned on both natural language descriptions and motion style references. Text prompts are effect…
HUMOS: Human Motion Model Conditioned on Body Shape
Shashank Tripathi, Omid Taheri, Christoph Lassner +3
Generating realistic human motion is essential for many computer vision and graphics applications. The wide variety of human body shapes and sizes greatly impacts how people move.…
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
Saeed Ghorbani, Ylva Ferstl, Daniel Holden +2
We present ZeroEGGS, a neural network framework for speech-driven gesture generation with zero-shot style control by example. This means style can be controlled via only a short ex…