Towards Controllable Face Generation with Semantic Latent Diffusion Models

arXiv:2403.12743v1 Announce Type: new
Abstract: Semantic Image Synthesis (SIS) is among the most popular and effective techniques in the field of face generation and editing, thanks to its good generation quality and the versatility is brings along. Recent works attempted to go beyond the standard GAN-based framework, and started to explore Diffusion Models (DMs) for this task as these stand out with respect to GANs in terms of both quality and diversity. On the other hand, DMs lack in fine-grained …

abstract arxiv beyond cs.cv diffusion diffusion models editing explore face framework gan good image latent diffusion models popular quality semantic standard synthesis type