A new article is available in IPOL: https://www.ipol.im/pub/art/2025/580/
Roger Marí, and Rafael Redondo,
Latent Diffusion Approaches for Conditional Generation of Aerial
Imagery: A Study,
Image Processing On Line, 15 (2025), pp. 20–31.
https://doi.org/10.5201/ipol.2025.580
Abstract
Generative artificial intelligence is increasingly being applied in
diverse areas such as architecture design, music composition, or
character animation. Among the generative methods, diffusion models are
today the state of the art in the synthesis of high quality images with
inherent diversity and realism. This paper aims to evaluate the fidelity
and realism of the synthesis achieved by different architectural
variations of a latent diffusion model, which is used to generate aerial
images conditioned to semantic maps. As shown in the results, the
diffusion model tends to correctly capture the overall semantic
structure and generates realistic textures, often with a lack of
fine-grained detail. Among the conditioning variations, cross-attention
layers were crucial to outline the semantic segments more accurately and
exploit conditional data more effectively.
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IPOL - Image Processing On Line - http://ipol.im/
contact [email protected] - http://www.ipol.im/meta/contact/
news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
announces [email protected] - http://tools.ipol.im/mm/announce/
discussions [email protected] - http://tools.ipol.im/mm/discuss/
