Conference

Robo-GS: A Physics Consistent Spatial-Temporal Model for Robotic Arm with Hybrid Representation
A Real2Sim pipeline with a hybrid representation model that integrates mesh geometry, 3D Gaussian kernels, and physics attributes to enhance the digital asset representation of robotic arms is proposed.
Haozhe Lou, Yurong Liu, Yike Pan, Yiran Geng, Jianteng Chen, Wenlong Ma, Chenglong Li, Lin Wang, Hengzhen Feng, Lu Shi, Liyi Luo, Yongliang Shi
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Robo-GS: A Physics Consistent Spatial-Temporal Model for Robotic Arm with Hybrid Representation
Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
A Ripmap-Encoded Platonic Solid representation to precisely and efficiently featurize 3D anisotropic areas, achieving high-fidelity anti-aliasing renderings and excelling in the fine details of repetitive structures and textures.
Junchen Liu, Wenbo Hu, Zhuo Yang, Jianteng Chen, Guoliang Wang, Xiaoxue Chen, Yantong Cai, Huan-Ang Gao, Hao Zhao
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Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
An autonomous driving simulator based upon neural radiance fields (NeRFs) that allows flexible switching between different modern NeRF-related backbones, sampling strategies, input modalities, etc, and is expected to boost academic progress and industrial deployment of NeRF-based autonomous driving simulation.
Zirui Wu, Tianyu Liu, Liyi Luo, Zhide Zhong, Jianteng Chen, Hongmin Xiao, Chao Hou, Haozhe Lou, Yuantao Chen, Runyi Yang, Yuxin Huang, Xiaoyu Ye, Zike Yan, Yongliang Shi, Yiyi Liao, Hao Zhao
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MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving