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Models/StackGAN

StackGAN

Reported on 8 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Audio4 results

10-shot image generationonOxford 102 Flowers
Inception score· 2016-12-10
3.2
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242
10-shot image generationonCUB
Inception score· 2016-12-10
3.7
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242
1 Image, 2*2 StitchionOxford 102 Flowers
Inception score· 2016-12-10
3.2
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242
1 Image, 2*2 StitchionCUB
Inception score· 2016-12-10
3.7
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242

Medical2 results

Image GenerationonOxford 102 Flowers
Inception score· 2016-12-10
3.2
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242
Image GenerationonCUB
Inception score· 2016-12-10
3.7
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242

Natural Language Processing2 results

Text-to-Image GenerationonOxford 102 Flowers
Inception score· 2016-12-10
3.2
best: 4.35 (RAT-Diffusion)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242
Text-to-Image GenerationonCUB
Inception score· 2016-12-10
3.7
best: 8.44 (Swinv2-Imagen)
SOTA
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks arXiv:1612.03242