Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models.
Senmao LiJoost van de WeijerTaihang HuFahad Shahbaz KhanQibin HouYaxing WangJian YangPublished in: ICLR (2024)
Keyphrases
- image content
- image features
- image collections
- image retrieval
- image database
- image data
- image representation
- image regions
- automatic image annotation
- semantic gap
- visual content
- image annotation
- content based image
- diffusion models
- image classification
- relevant images
- multiscale
- image search
- cbir systems
- semantic labels
- image processing
- trademark images
- region segmentation
- diffusion model
- viral marketing
- edge detection