Exploring Spatial Transformer For 3d Point Clouds
Let's dive into the details surrounding Spatial Transformer For 3d Point Clouds.
- This video is for the AMA564 project presentation in PolyU.
- Can
- Oral presentation at MICCAI 2020 of my paper: Generalizing
- Accepted to RA-L & ICRA 2022. Code and models can be accessed at https://github.com/OPEN-AIR-SUN/PQ-
- Supplementary video for the ICCV 2021 paper: Kirill Mazur, Victor Lempitsky
In-Depth Information on Spatial Transformer For 3d Point Clouds
Published on Transactions on Pattern Analysis and Machine Intelligence (TPAMI). More details at the project page: ... In this work, we propose a novel end-to-end approach to learn different non-rigid transformations of the input Authors: Yimin Wei (Sun Yat-Sen University); Hao Liu (Sun Yat-Sen University); Tingting Xie (Queen Mary University of London); ... Workshop:
CVPR 2023 Rotation-Invariant Transformer for Point Cloud Matching
That wraps up our extensive overview of Spatial Transformer For 3d Point Clouds.
