most citedA Mechanistic View on Video Generation as World Models: State and Dynamics

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20261 cited

A Mechanistic View on Video Generation as World Models: State and Dynamics

Luozhou Wang, Zhifei Chen, Yihua Du +11

Large-scale video generation models have demonstrated emergent physical coherence, positioning them as potential world models. However, a gap remains between contemporary "stateles…

cs.CV2026

CamPilot: Improving Camera Control in Video Diffusion Model with Efficient Camera Reward Feedback

Wenhang Ge, Guibao Shen, Jiawei Feng +5

Recent advances in camera-controlled video diffusion models have significantly improved video-camera alignment. However, the camera controllability still remains limited. In this w…

cs.CV2026

VideoMemory: Toward Consistent Video Generation via Memory Integration

Jinsong Zhou, Yihua Du, Xinli Xu +7

Maintaining consistent characters, props, and environments across multiple shots is a central challenge in narrative video generation. Existing models can produce high-quality shor…

cs.CV2025

StereoPilot: Learning Unified and Efficient Stereo Conversion via Generative Priors

Guibao Shen, Yihua Du, Wenhang Ge +7

The rapid growth of stereoscopic displays, including VR headsets and 3D cinemas, has led to increasing demand for high-quality stereo video content. However, producing 3D videos re…

cs.AI2025

ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback

Litao Guo, Xinli Xu, Luozhou Wang +5

With the rapid advancement of generative models, general-purpose generation has gained increasing attention as a promising approach to unify diverse tasks across modalities within…

cs.CV2025

RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification

Zhen Yang, Guibao Shen, Minyang Li +5

Diffusion models have achieved remarkable progress across various visual generation tasks. However, their performance significantly declines when generating content at resolutions…