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Text-to-Image Synthesis research benchmarks – Page 2 · SOTA2 Research

Text-to-Image Synthesis

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CUB unseen bird species

Text Classifier

20.4Accuracy

8

Feb 26, 2026

Oxford-102 (test)

14.1FID

8

Feb 26, 2026

User study 20 questions (test)

63.33User Preference Rate

7

Feb 26, 2026

MS-COCO 2017 (test)

19.91FID

7

Feb 26, 2026

MM-CelebA-HQ 256x256

13.71FID

7

Feb 26, 2026

DiffusionDB Human Prompts 2M

22.35HPS

6

Feb 26, 2026

COCO Human Prompts (val)

21.36HPS

6

Feb 26, 2026

Aesthetic-Eval 4K resolution (test)

Flux-SGA-DINOv3

146.33gFID

5

May 21, 2026

Aesthetic-Eval 2K resolution (test)

38.57gFID

5

May 21, 2026

FLUX.1 dev (test)

1.45Reward

5

Apr 28, 2026

ANCHOR Non-Entity Subset (test)

Stable Diffusion 2.1

6.922FID_CLIP

5

Apr 28, 2026

Text-to-Image Synthesis 10 randomly sampled target prompts

96.43ASR

5

Apr 9, 2026

30.49Inception Score

5

Feb 26, 2026

89.33Image Rating (IR)

4

Apr 7, 2026

10.31FID

4

Feb 26, 2026

LN-COCO COCO-14 (test)

34.4IS

4

Feb 26, 2026

12.5FID

4

Feb 26, 2026

COCO 2014 (evaluation)

33.34IS

4

Feb 26, 2026

COCO 30 prompts

54.8Alignment Score

3

Jul 9, 2026

SD M 3.5 (test)

1.71Reward

3

Apr 28, 2026

RareBench (full)

6.395LAION-aesthetic

3

Mar 20, 2026

51.89FID

3

Feb 26, 2026

33CS Score

2

Mar 4, 2026

0.35CS

2

Mar 4, 2026

0.35CS

2

Mar 4, 2026

Page 2 of 3

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COCO MS-COCO CUB CelebA AnE

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