Work

A Diffusion Model-Based Character Synthesis Using a Blank Face

Year: 2024

Type: article

Abstract: In this study, we propose a framework for synthesizing new characters by applying the features of a reference face to a source face using a diffusion model-based image editing technique. For an effective synthesis, a blank face of the sample is first generated by removing all features except the hairstyle, face shape, and skin tone. Then, facial features such as the eyes, eyebrows, nose, and mouth from the reference face are applied to the blank face of the source face. This strategy allows the creation of a new character that reflects the reference face’s features on the source face without producing unwanted artifacts or undesired blending of facial features.

Source: Electronics

DOI: 10.3390/electronics14010011

Authors: Wooseok Choi, Heekyung Yang, Kyungha Min

Institution: Sangmyung University

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,728

Funder: Sangmyung University