DreamAnime: Learning style-identity textual disentanglement for anime and beyond

• Main Authors: XU, Chenshu, XU, Yangyang, ZHANG, Huaidong, XU, Xuemiao, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Data Models; Training; Task Analysis; Computational Modeling; Natural Languages; Visualization; Shape; Customization; Diffusion; Image Synthesis; Style Disentanglement; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9799
• Institution: Singapore Management University

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...