IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative Models.
Xingchen ZengZiyao GaoYilin YeWei ZengPublished in: CHI (2024)
Keyphrases
- generative model
- bayesian framework
- fine tuning
- probabilistic model
- generative and discriminative models
- input image
- image features
- image classification
- mixture model
- image retrieval
- image content
- image segmentation
- prior knowledge
- discriminative models
- image representation
- discriminative learning
- supervised learning
- information retrieval
- conditional random fields
- multiscale
- graphical models
- test images
- bounding box
- visual patterns
- object parts