Abstract: Recognizing objects in the 3D world is a significant challenge for robotics. Due to the lack of high-quality 3D data, directly training a general-purpose segmentation model in 3D is almost ...
Abstract: 3D Gaussian Splatting (3DGS) has emerged as a powerful representation for neural scene reconstruction, offering high-quality novel view synthesis while maintaining computational efficiency.
This pipeline provides a complete solution for analyzing MD trajectories and visualizing the free energy landscape through principal component analysis (PCA) and free energy surface (FES) generation.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback