DreamAnime: Learning Style-Identity Textual Disentanglement for Anime and Beyond

Text-to-image generation models have significantly broadened the horizons of creative expression through the power of natural language. However, navigating these models to generate unique concepts, alter their appearance, or reimagine them in unfamiliar roles presents an intricate challenge. For ins...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2024-05, Vol.PP, p.1-12
Hauptverfasser:	Xu, Chenshu, Xu, Yangyang, Zhang, Huaidong, Xu, Xuemiao, He, Shengfeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Customization Data models diffusion image synthesis Natural languages Shape style disentanglement Task analysis Training Visualization
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