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

• Main Authors: Lu, Shilin, Liu, Yanzhu, Kong, Adams Wai Kin
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Computer Vision; Generative Model; Diffusion Model; Text-to-Image Model; Image Composition
• Online Access: https://hdl.handle.net/10356/172261; https://iccv2023.thecvf.com/
• Institution: 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...