2024
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
CVPR 2024poster
Diffusion-based models have gained significant popularity for text-to-image generation due to their exceptional image-generation capabilities. A risk with these models is the potential generation of inappropriate content such as biased or harmful images. However the underlying reasons for generating…