works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.RO2026

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation

Haidong Cao, Wenjun Cao, Quanhao Li +5

The paper introduces SegDiff, a closed-loop visuomotor policy that segments demonstrations into motion segments and uses diffusion models to predict continuous trajectories to the…

cs.CV2026

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation

Yujie Wei, Yujin Han, Zhekai Chen +20

Video generation is rapidly evolving from single-shot synthesis to complex multi-shot audio-video (MSAV) narratives to meet real-world demands. However, evaluating such frontier mo…

cs.CV2026

DisCo: World Models with Discrete Camera Motion Control

Hongrui Huang, Junke Wang, Quanhao Li +2

Controllable video world models target interactive world exploration, where models must faithfully execute explicit action commands while preserving visual quality and temporal coh…

cs.LG2026

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models

Quanhao Li, Junqiu Yu, Kaixun Jiang +7

Reinforcement learning has emerged as a powerful tool for improving diffusion-based text-to-image models, but existing methods are largely limited to single-task optimization. Exte…

cs.CV2026

FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance

Quanhao Li, Zhen Xing, Rui Wang +4

Recent advances in trajectory-controllable video generation have achieved remarkable progress. Previous methods mainly use adapter-based architectures for precise motion control al…

cs.CV2025

MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance

Quanhao Li, Zhen Xing, Rui Wang +3

Recent advances in video generation have led to remarkable improvements in visual quality and temporal coherence. Upon this, trajectory-controllable video generation has emerged to…