collaborators

10 papers

cs.CV2026

HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enhancement

Yiyang Cai, Nan Chen, Rongchang Xie +8

Human-object centric video personalization (HOCVP) is a core task within subject-driven video generation. However, existing methods suffer from two key limitations. First, most app…

cs.CV2026

ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships

Xinyu Liu, Shihao Li, Weihong Lin +10

The paper introduces ReBind, a framework that uses structured instructions with explicit reference tokens to improve multi‑reference image‑conditioned video editing, enabling preci…

cs.CV2026

DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation

Nan Chen, Yiyang Cai, Rongchang Xie +7

Open domain subject-driven text-to-video (S2V) generation has drawn significant interest in academia and industry. Open domain S2V mainly involves two scenarios: in-domain, which r…

cs.CV2026

STiTch: Semantic Transition and Transportation in Collaboration for Training-Free Zero-Shot Composed Image Retrieval

Miaoge Li, Dongsheng Wang, Zening Sun +3

Training-free zero-shot composed image retrieval models are recently gaining increasing research interest due to their generalizability and flexibility in unseen multimodal retriev…

cs.CV2026

ROAR-3D: Routing Arbitrary Views for High-Fidelity 3D Generation

Hanxiao Sun, Mingxin Yang, Shuhui Yang +5

Single-image-to-3D generative models can now produce high-quality geometry, yet conditioning on a single view inevitably introduces ambiguity about unseen regions. Multi-view condi…

cs.CV2026

Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence

Zebin He, Mingxin Yang, Shuhui Yang +4

Existing 3D foundation models typically align point clouds to frozen vision-language spaces like CLIP, which achieve strong cross-modal retrieval by compressing 3D shape into a glo…