Le, ET;
Mitra, NJ;
Kokkinos, I;
(2022)
Softmesh: Learning Probabilistic Mesh Connectivity via Image Supervision.
In:
2021 International Conference on 3D Vision (3DV).
(pp. pp. 1065-1074).
IEEE: London,UK.
Preview |
PDF
softmesh.pdf - Accepted Version Download (11MB) | Preview |
Abstract
In this work we introduce Softmesh,a fully differentiable pipeline to transform a 3D point cloud into a probabilistic mesh representation that allows us to directly render 2D images. We use this pipeline to learn point connectivity from only 2D rendering supervision,reducing the supervision requirements for mesh-based representations.We evaluate our approach in a set of rendering tasks,including silhouette,normal,and depth rendering on both rigid and non-rigid objects. We introduce transfer learning approaches to handle the diversity of the task requirements,and also explore the potential of learning across categories. We demonstrate that Softmesh achieves competitive performance even against methods trained with full mesh supervision.
Type: | Proceedings paper |
---|---|
Title: | Softmesh: Learning Probabilistic Mesh Connectivity via Image Supervision |
Event: | 2021 International Conference on 3D Vision (3DV) |
Location: | ELECTR NETWORK |
Dates: | 1 Dec 2021 - 3 Dec 2021 |
ISBN-13: | 9781665426886 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/3DV53792.2021.00114 |
Publisher version: | https://doi.org/10.1109/3DV53792.2021.00114 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Engineering, Electrical & Electronic, Imaging Science & Photographic Technology, Computer Science, Engineering |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10149389 |
Archive Staff Only
View Item |