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Models/GAWWN

GAWWN

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 generationonCUB
    FID· uses extra data· 2016-10-08
    67.22
    best: 6.36 (RAT-Diffusion)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454
  • 10-shot image generationonCUB
    Inception score· uses extra data· 2016-10-08
    3.62
    best: 8.44 (Swinv2-Imagen)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454
  • 1 Image, 2*2 StitchionCUB
    FID· uses extra data· 2016-10-08
    67.22
    best: 6.36 (RAT-Diffusion)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454
  • 1 Image, 2*2 StitchionCUB
    Inception score· uses extra data· 2016-10-08
    3.62
    best: 8.44 (Swinv2-Imagen)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454

Medical2 results

  • Image GenerationonCUB
    FID· uses extra data· 2016-10-08
    67.22
    best: 6.36 (RAT-Diffusion)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454
  • Image GenerationonCUB
    Inception score· uses extra data· 2016-10-08
    3.62
    best: 8.44 (Swinv2-Imagen)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454

Natural Language Processing2 results

  • Text-to-Image GenerationonCUB
    FID· uses extra data· 2016-10-08
    67.22
    best: 6.36 (RAT-Diffusion)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454
  • Text-to-Image GenerationonCUB
    Inception score· uses extra data· 2016-10-08
    3.62
    best: 8.44 (Swinv2-Imagen)
    SOTA
    Learning What and Where to DrawarXiv:1610.02454