IntentTuner: An Interactive Framework for Integrating Human Intents in Fine-tuning Text-to-Image Generative Models.
Xingchen ZengZiyao GaoYilin YeWei ZengPublished in: CoRR (2024)
Keyphrases
- generative model
- bayesian framework
- fine tuning
- probabilistic model
- input image
- image features
- image content
- multiscale
- image segmentation
- information retrieval
- image retrieval
- machine learning
- mixture model
- image representation
- discriminative models
- test images
- generative and discriminative models
- keypoints
- natural images
- probability distribution
- image set
- prior knowledge
- similarity measure
- learning algorithm