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Models/StackGAN-v2

StackGAN-v2

Reported on 17 benchmarks across 4 tasks · 1 paper · 17 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio8 results

10-shot image generationonOxford 102 Flowers
FID· 2017-10-19
48.68
best: 9.52 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
10-shot image generationonOxford 102 Flowers
Inception score· 2017-10-19
3.26
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
10-shot image generationonCUB
FID· 2017-10-19
15.3
best: 6.36 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
10-shot image generationonCUB
Inception score· 2017-10-19
3.82
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
1 Image, 2*2 StitchionOxford 102 Flowers
FID· 2017-10-19
48.68
best: 9.52 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
1 Image, 2*2 StitchionOxford 102 Flowers
Inception score· 2017-10-19
3.26
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
1 Image, 2*2 StitchionCUB
FID· 2017-10-19
15.3
best: 6.36 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
1 Image, 2*2 StitchionCUB
Inception score· 2017-10-19
3.82
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916

Medical5 results

Image GenerationonLSUN Bedroom 256 x 256
FID· 2017-10-19
35.61
best: 1.43 (Diffusion ProjectedGAN)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
Image GenerationonOxford 102 Flowers
FID· 2017-10-19
48.68
best: 9.52 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
Image GenerationonOxford 102 Flowers
Inception score· 2017-10-19
3.26
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
Image GenerationonCUB
FID· 2017-10-19
15.3
best: 6.36 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
Image GenerationonCUB
Inception score· 2017-10-19
3.82
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916

Natural Language Processing4 results

Text-to-Image GenerationonOxford 102 Flowers
FID· 2017-10-19
48.68
best: 9.52 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
Text-to-Image GenerationonOxford 102 Flowers
Inception score· 2017-10-19
3.26
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
Text-to-Image GenerationonCUB
FID· 2017-10-19
15.3
best: 6.36 (RAT-Diffusion)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916
Text-to-Image GenerationonCUB
Inception score· 2017-10-19
3.82
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1710.10916