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Super-resolution generative adversarial networks of randomly-seeded fields

Research article (Nature Machine Intelligence, 2022) · cited 52× · AI/ML
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Super-resolution generative adversarial networks of randomly-seeded fields

Summary

Super-resolution generative adversarial networks of randomly-seeded fields is a scholarly article[1].

Key Facts

  • Super-resolution generative adversarial networks of randomly-seeded fields's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Super-resolution generative adversarial networks of randomly-seeded fields. Retrieved May 24, 2026, from https://4ort.xyz/entity/super-resolution-generative-adversarial-networks-of-randomly-seeded-fields
MLA “Super-resolution generative adversarial networks of randomly-seeded fields.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/super-resolution-generative-adversarial-networks-of-randomly-seeded-fields.
BibTeX @misc{4ortxyz_super-resolution-generative-adversarial-networks-of-randomly-seeded-fields_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Super-resolution generative adversarial networks of randomly-seeded fields}}, year = {2026}, url = {https://4ort.xyz/entity/super-resolution-generative-adversarial-networks-of-randomly-seeded-fields}, note = {Accessed: 2026-05-24}}
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