HyperAI超神经

Image Generation On Lsun Bedroom 256 X 256

评估指标

FID-10k-training-steps

评测结果

各个模型在此基准测试上的表现结果

比较表格
模型名称FID-10k-training-steps
generative-adversarial-transformers14.0595
模型 2-
self-supervised-generative-adversarial-
flow-matching-in-latent-space-
模型 5-
diffusion-models-beat-gans-on-image-synthesis-
模型 7-
progressive-growing-of-gans-for-improved-
unleashing-transformers-parallel-token-
denoising-diffusion-probabilistic-models-
generative-adversarial-transformers11.5255
denoising-diffusion-probabilistic-models-
模型 13-
truncated-diffusion-probabilistic-models-
generative-adversarial-transformers59.6333
模型 16-
projected-gans-converge-faster-
stackgan-realistic-image-synthesis-with-
projected-gans-converge-faster1.52
模型 20-
diffusion-gan-training-gans-with-diffusion-
generative-adversarial-transformers12.1567
denoising-diffusion-probabilistic-models-
diffusion-models-beat-gans-on-image-synthesis-
pseudo-numerical-methods-for-diffusion-models-1-
score-matching-model-for-unbounded-data-score-1-
unleashing-transformers-parallel-token-
模型 28-
diffusion-gan-training-gans-with-diffusion-
diffusion-gan-training-gans-with-diffusion-
generative-adversarial-transformers6.5085
sliced-wasserstein-generative-models-1-