high-resolution-image-synthesis-with-latent-diffusion-models-2026-011

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer

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high-resolution-image-synthesis-with-latent-diffusion-models-2026-011

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn OmmerUFTAN UNIVERSITYComputer Science2026

Abstract

This record links to the latent diffusion models paper, which combines compression and diffusion modelling for efficient high-resolution image synthesis. It is suitable for validating external document access and contemporary generative AI metadata.

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Author: Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
Supervisor: Prof. Olumide T. Adebayo
Faculty: Science
Department: Computer Science
Document type: Final Year Project
Year: 2026
Keywords: latent diffusion, image synthesis, generative models, autoencoders, computer vision
Access: Metadata
License: all_rights_reserved

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Auto-generated from the record metadata: authors, journal title, DOI, volume, issue/serial, pages and publication date. Review before final academic use.

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer (2026). high-resolution-image-synthesis-with-latent-diffusion-models-2026-011 [Final Year Project]. UFTAN UNIVERSITY. https://inrepscholar.com/uftan-university/projects/950

Source fields used: Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer

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high-resolution-image-synthesis-with-latent-diffusion-models-2026-011

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