Conditioning diffusion models via attributes and semantic masks for face generation

Published: 01 Jan 2024, Last Modified: 04 Nov 2024Comput. Vis. Image Underst. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A diffusion model for face generation maximizing fidelity, quality and diversity.•A multi-conditioning mechanism using both attributes and semantic masks.•Analysis of perception prioritized training in the latent space of diffusion models.
Loading

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview