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DE-GAN: Text-to-image synthesis with dual and efficient fusion model

Research article (Multimedia Tools and Applications, 2023) · cited 12× · AI/ML
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DE-GAN: Text-to-image synthesis with dual and efficient fusion model

Summary

DE-GAN: Text-to-image synthesis with dual and efficient fusion model is a scholarly article[1].

Key Facts

  • DE-GAN: Text-to-image synthesis with dual and efficient fusion model's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). DE-GAN: Text-to-image synthesis with dual and efficient fusion model. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-gan-text-to-image-synthesis-with-dual-and-efficient-fusion-model
MLA “DE-GAN: Text-to-image synthesis with dual and efficient fusion model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-gan-text-to-image-synthesis-with-dual-and-efficient-fusion-model.
BibTeX @misc{4ortxyz_de-gan-text-to-image-synthesis-with-dual-and-efficient-fusion-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DE-GAN: Text-to-image synthesis with dual and efficient fusion model}}, year = {2026}, url = {https://4ort.xyz/entity/de-gan-text-to-image-synthesis-with-dual-and-efficient-fusion-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DE-GAN: Text-to-image synthesis with dual and efficient fusion model — https://4ort.xyz/entity/de-gan-text-to-image-synthesis-with-dual-and-efficient-fusion-model (retrieved 2026-05-24)

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