1 citations · 1 across the 7 of their papers we have counts for
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PhySimCode: A Benchmark and Evaluation Method for Physics Video to Code Generation
Souraja Kundu, Aditya Gupta, Joel Julin +3
Multimodal large language models (MLLMs) are good at video understanding and code generation, but it remains unclear whether they can recover the physical laws underlying videos, a…
ManiSkillFormer: Demonstration-Free Compositional Manipulation via Geometric Contracts and Agentic Skill Graph
Peiqi Yu, Mosam Dabhi, Shangtao Li +3
Adapting robotic manipulation to new objects and tasks often requires additional demonstrations or manual engineering. Reusable manipulation skills can reduce this effort, but adap…
MAD-HOI: Masked Autoregressive Diffusion for Generating Articulated Hand Object Interactions from Text
Ananya Bal, Kartik Sharma, Ethan Lai +4
Methods for text-based generation of hand-object interaction (HOI) sequences primarily focus on producing smooth, physically plausible trajectories. A truly utilitarian method shou…
JointHOI: Jointly Generating Contact Maps Enhances Hand Object Interaction Generation
Mingyeong Song, Jungbin Cho, Jisoo Kim +5
Text driven hand object interaction (HOI) generation is gaining attention for immersive applications and robotics, yet producing physically plausible interactions remains challengi…
SimWorlds: A Multi-Agent System for Dynamic 3D Scene Creation
Chunjiang Liu, Xiaoyuan Wang, Haoyu Chen +3
LLM agents are increasingly used to translate natural language into 3D scenes in a procedural way, but existing systems focus on static output. Dynamic 4D scenes from text alone, i…
GeoStream: Toward Precise Camera Controlled Streaming Video Generation
Yizhou Zhao, Yifan Wang, Xiaoyuan Wang +11
Accurate interactive camera control is essential for video-based world models, but most existing approaches learn camera motion implicitly, leading to inaccurate control under out-…
MOSIV: Multi-Object System Identification from Videos
Chunjiang Liu, Xiaoyuan Wang, Qingran Lin +9
We introduce the challenging problem of multi-object system identification from videos, for which prior methods are ill-suited due to their focus on single-object scenes or discret…