Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models

René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff +3

Denoising Diffusion Models (DDMs) have emerged as a strong competitor to Generative Adversarial Networks (GANs). However, despite their widespread use in image synthesis and editin…