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HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models

This is the official implementation for our ICCV-2023 paper

"HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models"

Eslam Abdelrahman, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, and Mohamed Elhoseiny

:satellite: Website                 :book: paper                 :clapper: video

:loudspeaker: News

:books: Synopsis

<p align="center"> <img src="Figures/skills_metric.png" width="75%"/> </p> <p align="center"> <img src="Figures/pie_chart.png" width="75%"/> </p> <p align="center"> <img src="Figures/AC_metric.png" width="75%"/> </p> <p align="center"> <img src="Figures/prompt_gen_horizontal_3.png" width="75%"/> </p>

:pushpin: Covered Models

:fire: Qualitative results

<p align="center"> <img src="Figures/qualitative_results.png" width="75%"/> </p>

:pushpin: Prerequisites

:pushpin: Data

:point_right: HRS-Bench:

:point_right: Prompt Generation:

You don't need to run the prompts generation codes as we already provide the generated prompts and can be downloaded from this link.

However, we provide also all the generation codes.

:pushpin: Evaluation

Follow the detailed instructions mentioned in the README file. to be able to run all our eval scripts for the whole skills.

:bouquet: Credits

The project is inspired from the great language benchmark HELM.

:telephone: Contact us

eslam.abdelrahman@kaust.edu.sa

:mailbox_with_mail: Citation

Please consider citing our paper if you find it useful.

@misc{2304.05390,
Author = {Eslam Mohamed Bakr and Pengzhan Sun and Xiaoqian Shen and Faizan Farooq Khan and Li Erran Li and Mohamed Elhoseiny},
Title = {HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models},
Year = {2023},
Eprint = {arXiv:2304.05390},
}