most citedLiPUP-MA: A Residential Experience-centric Multi-Agent Framework for Living-in-the-loop Participatory Urban Planning

2 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

ActWorld: From Explorable to Interactive World Model via Action-Aware Memory

Zhexiao Xiong, Yizhi Song, Hao Kang +11

Interactive world models aim to simulate environment dynamics under real-time user actions. However, their action vocabulary is largely confined to navigation: most actions corresp…

cs.HC2026

AppAgent-Claw: CLI Is All You Need for GUI Automation

Zhixue Song, Zhiheng Zhang, Yi Song +1

The OpenClaw platform provides a practical foundation for automation through its skill-oriented architecture, organizing external capabilities into lightweight, reusable components…

cs.CV2026

PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment

Zhexiao Xiong, Yizhi Song, Liu He +4

Video Diffusion Models (VDMs) offer a promising approach for simulating dynamic scenes and environments, with broad applications in robotics and media generation. However, existing…

cs.AI2024★ 2 cited

LiPUP-MA: A Residential Experience-centric Multi-Agent Framework for Living-in-the-loop Participatory Urban Planning

Hang Ni, Yuzhi Wang, Yizhi Song +1

Participatory Urban Planning (PUP) is increasingly supported by LLM-based agents, yet existing methods largely rely on static preference elicitation and one-shot stakeholder discus…

cs.CV2024

Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment

Yizhi Song, Liu He, Zhifei Zhang +8

Personalized image generation has emerged from the recent advancements in generative models. However, these generated personalized images often suffer from localized artifacts such…

cs.CV2024★ 1 cited

Thinking Outside the BBox: Unconstrained Generative Object Compositing

Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang +6

Compositing an object into an image involves multiple non-trivial sub-tasks such as object placement and scaling, color/lighting harmonization, viewpoint/geometry adjustment, and s…

cs.CV2024

GroundingBooth: Grounding Text-to-Image Customization

Zhexiao Xiong, Wei Xiong, Jing Shi +3

Recent approaches in text-to-image customization have primarily focused on preserving the identity of the input subject, but often fail to control the spatial location and size of…

cs.CV2024★ 2 cited

Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation

Liu He, Yizhi Song, Hejun Huang +4

Text-to-video generation has been dominated by diffusion-based or autoregressive models. These novel models provide plausible versatility, but are criticized for improper physical…

cs.CV2024

IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation

Yizhi Song, Zhifei Zhang, Zhe Lin +7

Generative object compositing emerges as a promising new avenue for compositional image editing. However, the requirement of object identity preservation poses a significant challe…