Artfusion: A Diffusion Model-Based Style Synthesis Framework for Portraits
We present a diffusion model-based approach that applies the artistic style of an artist or an art movement to a portrait photograph. Learning the style from the artworks of an artist or an art movement requires a training dataset composed of a lot of samples. We resolve this limitation by combining...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/13/3/509 |