Home Projects T2I-CompBench
T2I-CompBench
Python

T2I-CompBench

[Neurips 2023 & TPAMI] T2I-CompBench (++) for Compositional Text-to-image Generation Evaluation

by Karine-Huang · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
benchmarkcompositionalitydatasetMITPython
View on GitHub
In plain words

Evaluate text-to-image generation methods with a collection of research papers and benchmarks.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
T2I-CompBench — GitHub preview card
📈 Star history
347346
2026-07-202026-08-31
📈 Track T2I-CompBench

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

[Neurips 2023 & TPAMI] T2I-CompBench (++) for Compositional Text-to-image Generation Evaluation

T2I-CompBench has 346 stars on GitHub. It has been forked 22 times. T2I-CompBench is written mainly in Python. It has been in active development since 2023. T2I-CompBench is available under the MIT license. Its main topics are benchmark, compositionality, dataset, text-to-image.

Frequently asked questions

What is T2I-CompBench?

[Neurips 2023 & TPAMI] T2I-CompBench (++) for Compositional Text-to-image Generation Evaluation

Is T2I-CompBench open source?

T2I-CompBench is an open-source project. It is released under the MIT license.

Is T2I-CompBench free?

Yes. T2I-CompBench is free and open source — you can use, modify and self-host it.

What license does T2I-CompBench use?

T2I-CompBench is available under the MIT license.

What language is T2I-CompBench written in?

T2I-CompBench is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — T2I-CompBench

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=karine-huang-t2i-compbench)](https://olud.ai/project/karine-huang-t2i-compbench.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.