Salient Object-Aware Background Generation using Text-Guided Diffusion Models

• Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops pp. 7489 - 7499
• Main Authors: Eshratifar, Amir Erfan, Soares, Joao V. B., Thadani, Kapil, Mishra, Shaunak, Kuznetsov, Mikhail, Ku, Yueh-Ning, De Juan, Paloma
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.06.2024
• Subjects: Adaptation models; background-generation; Conferences; controlnet; Degradation; Diffusion models; image-generation; Measurement; Pattern recognition; stable-diffusion; Visualization

Generating background scenes for salient objects plays a crucial role across various domains including creative design and e-commerce, as it enhances the presentation and context of subjects by integrating them into tailored environments. Background generation can be framed as a task of text-conditi...