UVMap-ID: A Controllable and Personalized UV Map Generative Model

arXiv:2404.14568v1 Announce Type: new
Abstract: Recently, diffusion models have made significant strides in synthesizing realistic 2D human images based on provided text prompts. Building upon this, researchers have extended 2D text-to-image diffusion models into the 3D domain for generating human textures (UV Maps). However, some important problems about UV Map Generative models are still not solved, i.e., how to generate personalized texture maps for any given face image, and how to define and evaluate the quality of these generated texture …

arxiv cs.cv generative map personalized type