AvatarMMC: 3D Head Avatar Generation and Editing with Multi-Modal Conditioning

We introduce an approach for 3D head avatar generation and editing with multi-modal conditioning based on a 3D Generative Adversarial Network (GAN) and a Latent Diffusion Model (LDM). 3D GANs can generate high-quality head avatars given a single or no condition. However, it is challenging to generate samples that adhere to multiple conditions of different modalities. On the other hand, LDMs excel at learning complex conditional distributions. To this end, we propose to exploit the conditioning capabilities of LDMs to …

adversarial avatar avatars cs.cv cs.gr diffusion diffusion model editing gan gans generate generative generative adversarial network head ldm modal multi-modal network quality samples