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cs.CV2026

CineWeaver: Training-Free Reference-Controllable Multi-Shot Long Video Generation for Cinematic Storytelling

Yuyang Huang, Yabo Chen, Wenrui Dai +6

CineWeaver introduces a training-free method that modifies pretrained video diffusion models to generate long, multi-shot cinematic videos with fine-grained reference control and c…

cs.CV2026

Directing the World: Fast Autoregressive Video Generation with Compositional Human-Camera Control

Haoyuan Wang, Yabo Chen, Haibin Huang +2

Building interactive world models requires generating realistic videos while maintaining controllable dynamics over long horizons. Autoregressive video generation offers a scalable…

cs.CV2026

SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation

Guiyu Zhang, Yabo Chen, Xunzhi Xiang +3

Controlling both camera motion and object dynamics is essential for coherent and expressive video generation, yet current methods typically handle only one motion type or rely on a…

cs.CV2026

VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling

Xunzhi Xiang, Zixuan Duan, Yabo Chen +8

Large-scale video diffusion models often fail to preserve 3D structure over time, causing geometric drift and implausible motion under viewpoint changes. Existing methods usually e…

cs.CV2026

Full-4D: Generating Full-Scope 4D Scenes from a Single-View Video

Tingxi Chen, Ke Hao, Yabo Chen +6

Generating 4D scenes from a single-view video is inherently ill-posed: a single viewpoint lacks the information needed to recover a complete, dynamic scene with full coverage. Exis…

cs.CV2025

TeleWorld: Towards Dynamic Multimodal Synthesis with a 4D World Model

Yabo Chen, Yuanzhi Liang, Jiepeng Wang +24

World models aim to endow AI systems with the ability to represent, generate, and interact with dynamic environments in a coherent and temporally consistent manner. While recent vi…