activity
20232025
most citedLLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

10 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Self-Evolving 3D Scene Generation from a Single Image

Kaizhi Zheng, Yue Fan, Jing Gu +3

Generating high-quality, textured 3D scenes from a single image remains a fundamental challenge in vision and graphics. Recent image-to-3D generators recover reasonable geometry fr…

cs.CV2025

Constructing a 3D Scene from a Single Image

Kaizhi Zheng, Ruijian Zha, Zishuo Xu +3

Acquiring detailed 3D scenes typically demands costly equipment, multi-view data, or labor-intensive modeling. Therefore, a lightweight alternative, generating complex 3D scenes fr…

cs.GR2024

EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing

Kaizhi Zheng, Xiaotong Chen, Xuehai He +7

Given the steep learning curve of professional 3D software and the time-consuming process of managing large 3D assets, language-guided 3D scene editing has significant potential in…

cs.CV2024★ 1 cited

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Xuehai He, Weixi Feng, Kaizhi Zheng +11

Multimodal Language Language Models (MLLMs) demonstrate the emerging abilities of "world models" -- interpreting and reasoning about complex real-world dynamics. To assess these ab…

cs.CV2024

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation

Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng +5

In subject-driven text-to-image generation, recent works have achieved superior performance by training the model on synthetic datasets containing numerous image pairs. Trained on…

cs.CL2023★ 10 cited

LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Saaket Agashe, Yue Fan, Anthony Reyna +1

Large Language Models (LLMs) have demonstrated emergent common-sense reasoning and Theory of Mind (ToM) capabilities, making them promising candidates for developing coordination a…

cs.CL2023

R2H: Building Multimodal Navigation Helpers that Respond to Help Requests

Yue Fan, Jing Gu, Kaizhi Zheng +1

Intelligent navigation-helper agents are critical as they can navigate users in unknown areas through environmental awareness and conversational ability, serving as potential acces…