5 papers
ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control
Akihisa Watanabe, Qing Yu, Edgar Simo-Serra +1
Generating human motion with precise spatial control is a challenging problem. Existing approaches often require task-specific training or slow optimization, and enforcing hard con…
Causal Motion Diffusion Models for Autoregressive Motion Generation
Qing Yu, Akihisa Watanabe, Kent Fujiwara
Recent advances in motion diffusion models have substantially improved the realism of human motion synthesis. However, existing approaches either rely on full-sequence diffusion mo…
PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups
Sakuya Ota, Qing Yu, Kent Fujiwara +2
Generating realistic group interactions involving multiple characters remains challenging due to increasing complexity as group size expands. While existing conditional diffusion m…
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models
Kent Fujiwara, Mikihiro Tanaka, Qing Yu
With the release of large-scale motion datasets with textual annotations, the task of establishing a robust latent space for language and 3D human motion has recently witnessed a s…
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
Qing Yu, Mikihiro Tanaka, Kent Fujiwara
To build a cross-modal latent space between 3D human motion and language, acquiring large-scale and high-quality human motion data is crucial. However, unlike the abundance of imag…