Search Results for author:
Found 2 papers, 1 papers with code
Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding
In this paper, we propose a novel way to create realistic human reactive motions which are not presented in the given dataset by mixing and matching different types of close interactions.
GlocalNet: Class-aware Long-term Human Motion Synthesis
Synthesis of long-term human motion skeleton sequences is essential to aid human-centric video generation with potential applications in Augmented Reality, 3D character animations, pedestrian trajectory prediction, etc.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
