T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up. (arXiv:2208.12752v1 [cs.CV])

In this paper, we present an end-to-end approach to generate high-resolution
person images conditioned on texts only. State-of-the-art text-to-image
generation models are mainly designed for center-object generation, e.g.,
flowers and birds. Unlike center-placed objects with similar shapes and
orientation, person image generation is a more challenging task, for which we
observe the followings: 1) the generated images for the same person exhibit
visual details with identity-consistency, e.g., identity-related
textures/clothes/shoes across the images, and 2) those images should be
discriminant for …

arxiv cv gan generation identity image image generation manifold person text