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Image Generation research benchmarks – Page 24 · SOTA2 Research

Image Generation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Cats 256x256 256^2 (train)

8.41FID

5

Feb 26, 2026

CelebA downsampled (test)

1.1FID

5

Feb 26, 2026

AnimalFace Dog 100-shot

Vision-aided Adversarial training

32.56FID

5

Feb 26, 2026

AnimalFace Cat 100-shot

Vision-aided Adversarial training

0.34KID

5

Feb 26, 2026

Bridge 100-shot

Vision-aided Adversarial training

2.35KID

5

Feb 26, 2026

LSUN Cat 2k (train)

Vision-aided Adversarial training

2.57SwAV FID

5

Feb 26, 2026

FFHQ 10k (train)

Vision-aided Adversarial training

0.61SwAV-FID

5

Feb 26, 2026

17.29FID

5

Feb 26, 2026

Discrete Absorbing Diffusion

73Precision

5

Feb 26, 2026

FFHQ-70k (full)

3.678FID

5

Feb 26, 2026

FFHQ 1k (train)

Vision-aided Adversarial training

1.18FID (SwAV)

5

Feb 26, 2026

LSUN-Cat 1k samples (train)

Vision-aided Adversarial training

2.82SwAV FID

5

Feb 26, 2026

LSUN Cat 10k samples (train)

Vision-aided Adversarial training

1.78SwAV FID

5

Feb 26, 2026

Stanford Dogs (test)

46.92IS

5

Feb 26, 2026

9.5FID

5

Feb 26, 2026

0.403FID

4

Jul 7, 2026

Lumina-Next 2048x2048 resolution

21.3Latency (s)

4

Jun 30, 2026

90Single Object Accuracy

4

Jun 29, 2026

ImageNet-LT 32 x 32

2.33FID

4

Jun 29, 2026

CIFAR-10 with distribution shift from ImageNet

224FID

4

Jun 26, 2026

ImageNet-100 256 x 256 (50,000-sample reference set)

13.59FID-50K

4

Jun 18, 2026

3.697Mean FID

4

Jun 16, 2026

ImageNet 256 x 256 partial (train)

248.42FID

4

Jun 4, 2026

3.54C-FID

4

Jun 2, 2026

1.56C-FID

4

Jun 2, 2026

Page 24 of 36

Popular datasets

ImageNet CIFAR FFHQ LSUN CelebA

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