Image Generation On Lsun Bedroom 256 X 256
Métriques
FID-10k-training-steps
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | FID-10k-training-steps |
---|---|
generative-adversarial-transformers | 14.0595 |
Modèle 2 | - |
self-supervised-generative-adversarial | - |
flow-matching-in-latent-space | - |
Modèle 5 | - |
diffusion-models-beat-gans-on-image-synthesis | - |
Modèle 7 | - |
progressive-growing-of-gans-for-improved | - |
unleashing-transformers-parallel-token | - |
denoising-diffusion-probabilistic-models | - |
generative-adversarial-transformers | 11.5255 |
denoising-diffusion-probabilistic-models | - |
Modèle 13 | - |
truncated-diffusion-probabilistic-models | - |
generative-adversarial-transformers | 59.6333 |
Modèle 16 | - |
projected-gans-converge-faster | - |
stackgan-realistic-image-synthesis-with | - |
projected-gans-converge-faster | 1.52 |
Modèle 20 | - |
diffusion-gan-training-gans-with-diffusion | - |
generative-adversarial-transformers | 12.1567 |
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 | - |
Modèle 28 | - |
diffusion-gan-training-gans-with-diffusion | - |
diffusion-gan-training-gans-with-diffusion | - |
generative-adversarial-transformers | 6.5085 |
sliced-wasserstein-generative-models-1 | - |