Learned Representation-Guided Diffusion Models for Large-Image Generation

• Published in: Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) Vol. 2024; pp. 8532 - 8542
• Main Authors: Graikos, Alexandros, Yellapragada, Srikar, Le, Minh-Quan, Kapse, Saarthak, Prasanna, Prateek, Saltz, Joel, Samaras, Dimitris
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.06.2024
• Subjects: Adaptation models; Annotations; Computational modeling; diffusion models; generative models; Histopathology; Image synthesis; remote sensing; Training; Visualization

To synthesize high-fidelity samples, diffusion models typically require auxiliary data to guide the generation process. However, it is impractical to procure the painstaking patch-level annotation effort required in specialized do-mains like histopathology and satellite imagery; it is of-ten perform...