Story Continuation On Flintstonessv
Métriques
FID
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | FID | Paper Title | Repository |
|---|---|---|---|
| AR-LDM | 19.28 | Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models | |
| StoryDALL-E (Cross-Attention) | 35.04 | StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation | |
| StoryDALL-E (Story Embeddings) | 29.21 | StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation | |
| ContextualStory | 16.33 | ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context | |
| StoryDALL-E (Story Embeddings + Cross-Attention) | 36.28 | StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation | |
| StoryDALL-E | 28.37 | StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation |
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