TextGaze: Gaze-Controllable Face Generation with Natural Language

arXiv:2404.17486v1 Announce Type: new
Abstract: Generating face image with specific gaze information has attracted considerable attention. Existing approaches typically input gaze values directly for face generation, which is unnatural and requires annotated gaze datasets for training, thereby limiting its application. In this paper, we present a novel gaze-controllable face generation task. Our approach inputs textual descriptions that describe human gaze and head behavior and generates corresponding face images. Our work first introduces a text-of-gaze dataset containing over 90k text descriptions …

abstract application arxiv attention cs.cv datasets face image information language natural natural language novel paper training type values