TF-ICON: diffusion-based training-free cross-domain image composition

• Main Authors: Lu, Shilin, Liu, Yanzhu, Kong, Adams Wai Kin
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2023
• 主題: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Computer Vision; Generative Model; Diffusion Model; Text-to-Image Model; Image Composition
• 在線閱讀: https://hdl.handle.net/10356/172261; https://iccv2023.thecvf.com/
• 機構: Nanyang Technological University

Text-driven diffusion models have exhibited impressive generative capabilities, enabling various image editing tasks. In this paper, we propose TF-ICON, a novel Training-Free Image COmpositioN framework that harnesses the power of text-driven diffusion models for cross-domain image-guided compositio...