Learned Representation-Guided Diffusion Models for Large-Image Generation

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...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) Ročník 2024; s. 8532 - 8542
Hlavní autori:	Graikos, Alexandros, Yellapragada, Srikar, Le, Minh-Quan, Kapse, Saarthak, Prasanna, Prateek, Saltz, Joel, Samaras, Dimitris
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2024
Predmet:	Adaptation models Annotations Computational modeling diffusion models generative models Histopathology Image synthesis remote sensing Training Visualization
ISSN:	1063-6919, 1063-6919
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