You're currently viewing an old version of this dataset. To see the current version, click here.

Binarized Diffusion Model for Image Super-Resolution

Advanced diffusion models perform impressively in image super-resolution, but the high memory and computational costs hinder their deployment. Binarization, an ultra-compression algorithm, offers the potential for effectively accelerating DMs.

Data and Resources

This dataset has no data

Cite this as

Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang (2024). Dataset: Binarized Diffusion Model for Image Super-Resolution. https://doi.org/10.57702/bvqc3w02

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2406.05723
Author Zheng Chen
More Authors
Haotong Qin
Yong Guo
Xiongfei Su
Xin Yuan
Linghe Kong
Yulun Zhang
Homepage https://github.com/zhengchen1999/BI-DiffSR