Lightweight Text-to-Image Generation Model Based on Contrastive Language-Image Pre-Training Embeddings and Conditional Variational Autoencoders

Deploying text-to-image (T2I) models is challenging due to high computational demands, extensive data needs, and the persistent goal of enhancing generation quality and diversity, particularly on resource-constrained devices. We introduce a lightweight T2I framework that uses a dual-conditioned Cond...

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Vydané v:	Electronics (Basel) Ročník 14; číslo 11; s. 2185
Hlavní autori:	Wang, Yubo, Zhang, Gaofeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2025
Predmet:	Ablation Architecture Datasets Diffusion models Effectiveness Efficiency Image processing Normal distribution Regularization Semantics Mississippi
ISSN:	2079-9292, 2079-9292
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