no code implementations • 3 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.
1 code implementation • 27 Aug 2024 • Saining Zhang, Baijun Ye, Xiaoxue Chen, Yuantao Chen, Zongzheng Zhang, Cheng Peng, Yongliang Shi, Hao Zhao
Robust and realistic rendering for large-scale road scenes is essential in autonomous driving simulation.
no code implementations • 5 May 2024 • Baijun Ye, Caiyun Liu, Xiaoyu Ye, Yuantao Chen, Yuhai Wang, Zike Yan, Yongliang Shi, Hao Zhao, Guyue Zhou
In the third stage, we fine-tune the transformation between NeRFs by Model2Model pose optimization.
1 code implementation • 1 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.