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20212026
most citedMotion-inductive Self-supervised Object Discovery in Videos

8 citations · 13 across the 19 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

Uncertainty DMD: Restoring Diversity in Few-Step Autoregressive Video Distillation

Zixuan Duan, Xunzhi Xiang, Yabo Chen +6

Few-step distillation improves the efficiency of autoregressive (AR) video generation, but often causes diversity collapse: under the same prompt, different noise samples tend to p…

cs.CV2026

Search-to-World: Evaluation of 3D World Delivery from User Request through Web Search

Zixiao Gu, Yabo Chen, Xunzhi Xiang +5

Agentic systems can interpret user requests, search the live web, and use external tools, but their ability to transform retrieved web content into a usable 3D world has not been s…

cs.CV2026

TourPhysics: Bringing Physics to World Models for Exploration and Manipulation from a Single Image

Xin Zhang, Yabo Chen, Zixuan Duan +4

Interactive visual world models must distinguish observation from physical intervention. Camera motion reveals new surfaces, whereas intervention changes object motion, contact, an…

cs.CV2026

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

Yuyang Huang, Yabo Chen, Wenrui Dai +6

Cinematic video generation is challenging for text-to-video diffusion models due to concurrent requirements on multi-shot generation, fine-grained controllability over characters a…

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

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.GR2026

PhysOmni: Physics-Grounded Multi-Object Scene Generation from a Single Image with Real-Time Interaction

Xin Zhang, Yabo Chen, Yijie Fang +5

Recent generative video models achieve impressive visual quality but remain constrained by limited physical consistency and controllability. Existing video generation methods provi…

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…