STAR-GS: Spatio-Temporal Geometry Alignment and Generative Refinement for Sparse-View 4D Gaussian Splatting.
Yunqi Gao|Zhanfeng Liao|Dongbo Zhou|Leyuan Liu
| Anthology ID: | DBLP:conf/mir/GaoLZL26 |
|---|---|
| Volume: | Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026 |
| Year: | 2026 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 1394-1403 |
| URL: | https://doi.org/10.1145/3805622.3810719 |
| DOI: | https://doi.org/10.1145/3805622.3810719 |
| DBLP: | conf/mir/GaoLZL26 |
| BibTeX: |
@inproceedings{gao-2026-stargs,
author = {Yunqi Gao and
Zhanfeng Liao and
Dongbo Zhou and
Leyuan Liu},
editor = {Stevan Rudinac and
Zi Huang and
Marcel Worring and
Lucia Vadicamo and
Xirong Li and
Pascal Mettes and
Lizi Liao},
title = {{STAR-GS: Spatio-Temporal Geometry Alignment and Generative Refinement for Sparse-View 4D Gaussian Splatting}},
booktitle = {{Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026}},
pages = {1394--1403},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805622.3810719},
doi = {https://doi.org/10.1145/3805622.3810719}
}