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Kaiyang Ji

4 accepted papers

2026

DiscoForcing: A Unified Framework for Real-Time Audio-Driven Character Control with Diffusion Forcing

ICML 2026poster

We study real-time audio-responsive character control as a deployment-faithful problem: strictly causal, bounded-latency streaming that must generate coherent full-body motion at interactive frame rates while the audio condition can change abruptly (tempo shifts, drops, or user edits). Prior music-t…

Cited by 0SourceScholar
2026

Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy

ICLR 2026poster

Human-object interaction (HOI) synthesis is crucial for applications in animation, simulation, and robotics. However, existing approaches either rely on expensive motion capture data or require manual reward engineering, limiting their scalability and generalizability. In this work, we introduce the…

Cited by 0SourcecodeScholar
2025

Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis

ICCV 2025poster

Real-time synthesis of physically plausible human interactions remains a critical challenge for immersive VR/AR systems and humanoid robotics. While existing methods demonstrate progress in kinematic motion generation, they often fail to address the fundamental tension between real-time responsivene…

Cited by 0SourcePDFScholar
2024

A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals

CVPR 2024poster

Estimating full-body human motion via sparse tracking signals from head-mounted displays and hand controllers in 3D scenes is crucial to applications in AR/VR. One of the biggest challenges to this task is the one-to-many mapping from sparse observations to dense full-body motions which endowed inhe…