Search Results for author: Baijun Ye

Found 4 papers, 2 papers with code

VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion

no code implementations3 Feb 2025 Shaoting Zhu, Linzhan Mou, Derun Li, Baijun Ye, Runhan Huang, Hang Zhao

Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators.

3DGS reinforcement-learning +3

Spectrally Pruned Gaussian Fields with Neural Compensation

1 code implementation1 May 2024 Runyi Yang, Zhenxin Zhu, Zhou Jiang, Baijun Ye, Xiaoxue Chen, Yifei Zhang, Yuantao Chen, Jian Zhao, Hao Zhao

However, this comes with high memory consumption, e. g., a well-trained Gaussian field may utilize three million Gaussian primitives and over 700 MB of memory.

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