Datasets › T2I-CompBench

T2I-CompBench

12 Jul 2023 archive 2025-07-28

T2I-CompBench is a comprehensive benchmark for open-world compositional text-to-image generation, consisting of 6,000 compositional textual prompts from 3 categories (attribute binding, object relationships, and complex compositions) and 6 sub-categories (color binding, shape binding, texture binding, spatial relationships, non-spatial relationships, and complex compositions).

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Text-to-Image Generation T2I-CompBench Emu3 Color 0.7913 Emu3: Next-Token Prediction is All You Need baaivision/emu3 +1 2 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 67. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Emu3: Next-Token Prediction is All You Need 2 1 27 Sep 2024 ran 3 of 6 samples (3 unverified)
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis 3 1 30 Sep 2023 ran 2 of 3 samples (1 unverified; 2 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • T2I-CompBench

1 variant name, as the archive lists them.

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