Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models.
Zhongjie Duan|Chengyu Wang|Cen Chen|Jun Huang|Weining Qian
| Anthology ID: | DBLP:conf/cikm/Duan0CHQ23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 463-472 |
| URL: | https://doi.org/10.1145/3583780.3614999 |
| DOI: | https://doi.org/10.1145/3583780.3614999 |
| DBLP: | conf/cikm/Duan0CHQ23 |
| BibTeX: |
@inproceedings{duan-2023-optimal,
author = {Zhongjie Duan and
Chengyu Wang and
Cen Chen and
Jun Huang and
Weining Qian},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {463--472},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614999},
doi = {https://doi.org/10.1145/3583780.3614999}
}