collaborators

10 papers

cs.CV2026

ReScene: Structured Indoor Scene Reconstruction from Multi-View Captures

Haoran Xu, Lechao Zhang, Daoguo Dong +2

Constructing simulation-ready 3D scenes from multi-view captures is a key bottleneck for Embodied Artificial Intelligence, as downstream tasks require object-level structure, expli…

cs.CV2026

MUSE: Agentic 3D Scene Authoring via Memory-Grounded Incremental Requirement Satisfaction

Ruijie Xu, Xinnan Zhu, Jiayu Ying +3

Text-driven 3D scene generation is a promising technique for digital content creation, embodied AI simulation, and interactive design, yet practical workflows often require refinin…

cs.CV2026

JointEdit3D: Feed-Forward 3D Scene Editing in a Unified Latent Space

Xinnan Zhu, Ruijie Xu, Jiayu Ying +4

Existing 3D scene editing methods typically rely on per-scene optimization over explicit 3D representations or cascaded edit-and-reconstruct pipelines, resulting in high test-time…

cs.IR2026

Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning

Yutong Li, Xinyi Zhang, Ziyi Ye +2

Multimodal sequential recommendation (MSR) incorporates textual and visual information to improve recommendation quality. However, recent studies and our empirical analysis show th…

cs.CV2026

DailyArt: Discovering Articulation from Single Static Images via Latent Dynamics

Hang Zhang, Qijian Tian, Jingyu Gong +4

Articulated objects are essential for embodied AI and world models, yet inferring their kinematics from a single closed-state image remains challenging because crucial motion cues…

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…