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Models/AttnGAN

AttnGAN

Reported on 32 benchmarks across 4 tasks · 1 paper · 32 SOTA

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

Audio16 results

  • 10-shot image generationonMS-COCO
    FID· 2017-11-28
    35.49
    best: 7.88 (Muse-3B (zero-shot))
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 10-shot image generationonMS-COCO
    Inception score· 2017-11-28
    25.89
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 10-shot image generationonMS-COCO
    SOA-C· 2017-11-28
    25.88
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 10-shot image generationonMulti-Modal-CelebA-HQ
    Acc· 2017-11-28
    13
    best: 20.4 (TediGAN-B )
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 10-shot image generationonMulti-Modal-CelebA-HQ
    FID· 2017-11-28
    125.98
    best: 10.31 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 10-shot image generationonMulti-Modal-CelebA-HQ
    LPIPS· 2017-11-28
    0.512
    best: 0.456 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 10-shot image generationonMulti-Modal-CelebA-HQ
    Real· 2017-11-28
    11.9
    best: 22.6 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 10-shot image generationonCUB
    Inception score· 2017-11-28
    4.36
    best: 8.44 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionMS-COCO
    FID· 2017-11-28
    35.49
    best: 7.88 (Muse-3B (zero-shot))
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionMS-COCO
    Inception score· 2017-11-28
    25.89
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionMS-COCO
    SOA-C· 2017-11-28
    25.88
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionMulti-Modal-CelebA-HQ
    Acc· 2017-11-28
    13
    best: 20.4 (TediGAN-B )
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionMulti-Modal-CelebA-HQ
    FID· 2017-11-28
    125.98
    best: 10.31 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionMulti-Modal-CelebA-HQ
    LPIPS· 2017-11-28
    0.512
    best: 0.456 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionMulti-Modal-CelebA-HQ
    Real· 2017-11-28
    11.9
    best: 22.6 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • 1 Image, 2*2 StitchionCUB
    Inception score· 2017-11-28
    4.36
    best: 8.44 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485

Medical8 results

  • Image GenerationonMS-COCO
    FID· 2017-11-28
    35.49
    best: 7.88 (Muse-3B (zero-shot))
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Image GenerationonMS-COCO
    Inception score· 2017-11-28
    25.89
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Image GenerationonMS-COCO
    SOA-C· 2017-11-28
    25.88
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Image GenerationonCUB
    Inception score· 2017-11-28
    4.36
    best: 8.44 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Image GenerationonMulti-Modal-CelebA-HQ
    Acc· 2017-11-28
    13
    best: 20.4 (TediGAN-B )
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Image GenerationonMulti-Modal-CelebA-HQ
    FID· 2017-11-28
    125.98
    best: 10.31 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Image GenerationonMulti-Modal-CelebA-HQ
    LPIPS· 2017-11-28
    0.512
    best: 0.456 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Image GenerationonMulti-Modal-CelebA-HQ
    Real· 2017-11-28
    11.9
    best: 22.6 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485

Natural Language Processing8 results

  • Text-to-Image GenerationonMS-COCO
    FID· 2017-11-28
    35.49
    best: 7.88 (Muse-3B (zero-shot))
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Text-to-Image GenerationonMS-COCO
    Inception score· 2017-11-28
    25.89
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Text-to-Image GenerationonMS-COCO
    SOA-C· 2017-11-28
    25.88
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Text-to-Image GenerationonCUB
    Inception score· 2017-11-28
    4.36
    best: 8.44 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Text-to-Image GenerationonMulti-Modal-CelebA-HQ
    Acc· 2017-11-28
    13
    best: 20.4 (TediGAN-B )
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Text-to-Image GenerationonMulti-Modal-CelebA-HQ
    FID· 2017-11-28
    125.98
    best: 10.31 (Swinv2-Imagen)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Text-to-Image GenerationonMulti-Modal-CelebA-HQ
    LPIPS· 2017-11-28
    0.512
    best: 0.456 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485
  • Text-to-Image GenerationonMulti-Modal-CelebA-HQ
    Real· 2017-11-28
    11.9
    best: 22.6 (TediGAN-A)
    SOTA
    AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial NetworksarXiv:1711.10485