3 papers
cs.CV2026
GEAR: GEometry-motion Alternating Refinement for Articulated Object Modeling with Gaussian Splatting
Jialin Li, Bin Fu, Ruiping Wang +1
High-fidelity interactive digital assets are essential for embodied intelligence and robotic interaction, yet articulated objects remain challenging to reconstruct due to their com…
cs.RO2025
RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator
Xinhai Li, Jialin Li, Ziheng Zhang +6
Efficient acquisition of real-world embodied data has been increasingly critical. However, large-scale demonstrations captured by remote operation tend to take extremely high costs…
cs.CV2025
M4U: Evaluating Multilingual Understanding and Reasoning for Large Multimodal Models
Hongyu Wang, Jiayu Xu, Senwei Xie +6
Multilingual capability is an essential aspect for large multimodal models, since they are usually deployed across various countries and languages. However, most existing benchmark…