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Models/StackGAN-v1

StackGAN-v1

Reported on 24 benchmarks across 4 tasks · 1 paper · 16 SOTA

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

Audio12 results

  • 10-shot image generationonCOCO (Common Objects in Context)
    FID· 2017-10-19
    74.05
    best: 5 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 10-shot image generationonCOCO (Common Objects in Context)
    Inception score· 2017-10-19
    8.45
    best: 34.67 (FuseDream (k=10, 256))
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 10-shot image generationonOxford 102 Flowers
    FID· 2017-10-19
    55.28
    best: 9.52 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 10-shot image generationonCUB
    FID· 2017-10-19
    51.89
    best: 6.36 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 1 Image, 2*2 StitchionCOCO (Common Objects in Context)
    FID· 2017-10-19
    74.05
    best: 5 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 1 Image, 2*2 StitchionCOCO (Common Objects in Context)
    Inception score· 2017-10-19
    8.45
    best: 34.67 (FuseDream (k=10, 256))
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 1 Image, 2*2 StitchionOxford 102 Flowers
    FID· 2017-10-19
    55.28
    best: 9.52 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 1 Image, 2*2 StitchionCUB
    FID· 2017-10-19
    51.89
    best: 6.36 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 10-shot image generationonOxford 102 Flowers
    Inception score· 2017-10-19
    3.2
    best: 4.35 (RAT-Diffusion)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 10-shot image generationonCUB
    Inception score· 2017-10-19
    3.7
    best: 8.44 (Swinv2-Imagen)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 1 Image, 2*2 StitchionOxford 102 Flowers
    Inception score· 2017-10-19
    3.2
    best: 4.35 (RAT-Diffusion)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • 1 Image, 2*2 StitchionCUB
    Inception score· 2017-10-19
    3.7
    best: 8.44 (Swinv2-Imagen)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916

Medical6 results

  • Image GenerationonCOCO (Common Objects in Context)
    FID· 2017-10-19
    74.05
    best: 5 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Image GenerationonCOCO (Common Objects in Context)
    Inception score· 2017-10-19
    8.45
    best: 34.67 (FuseDream (k=10, 256))
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Image GenerationonOxford 102 Flowers
    FID· 2017-10-19
    55.28
    best: 9.52 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Image GenerationonCUB
    FID· 2017-10-19
    51.89
    best: 6.36 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Image GenerationonOxford 102 Flowers
    Inception score· 2017-10-19
    3.2
    best: 4.35 (RAT-Diffusion)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Image GenerationonCUB
    Inception score· 2017-10-19
    3.7
    best: 8.44 (Swinv2-Imagen)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916

Natural Language Processing6 results

  • Text-to-Image GenerationonCOCO (Common Objects in Context)
    FID· 2017-10-19
    74.05
    best: 5 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Text-to-Image GenerationonCOCO (Common Objects in Context)
    Inception score· 2017-10-19
    8.45
    best: 34.67 (FuseDream (k=10, 256))
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Text-to-Image GenerationonOxford 102 Flowers
    FID· 2017-10-19
    55.28
    best: 9.52 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Text-to-Image GenerationonCUB
    FID· 2017-10-19
    51.89
    best: 6.36 (RAT-Diffusion)
    SOTA
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Text-to-Image GenerationonOxford 102 Flowers
    Inception score· 2017-10-19
    3.2
    best: 4.35 (RAT-Diffusion)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916
  • Text-to-Image GenerationonCUB
    Inception score· 2017-10-19
    3.7
    best: 8.44 (Swinv2-Imagen)
    StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial NetworksarXiv:1710.10916