Author

Jia-Lun Liu

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Preprint Oct 2026

Learning to Retrieve: Internalizing Memory Retrieval for Video World Models

Video world models aim to generate explorable, 3D-consistent scene videos conditioned on camera trajectories. Existing approaches often rely on external memory systems that explicitly retrieve previously observed content to mitigate scene drift during long-horizon generation. However, these auxiliary memory pathways op...

Jia-Kui Hu, Tai-Lai Chen, Yu-Qi Pan et al. · 0 citations

Preprint Aug 2026

Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking

Uni4R is a framework that unifies 4D reconstruction and point tracking by learning continuous velocity fields through the synergy of Optimal Transport (OT) and Ordinary Differential Equation (ODE), and acts as a kinematic prior that mutually benefits both 4D reconstruction and point tracking.

Liying Yang, Hao Mo, Jia-Lun Liu et al. · 0 citations

Jun 2026

SIFT: Self-Imagination Fine-Tuning for Physically Plausible Motion in Video Diffusion Models

Recent advances in video diffusion models have greatly improved visual fidelity, yet their generated motions often violate physical plausibility. We observe a common kinematic failure,"motion entanglement", the unintended coupling of independent motion sources, such as camera movement and object motion. We identify tha...

Ruoyu Wang, Jialun Liu, Huayang Huang et al. · arXiv.org · 1 citation