Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer

Research article (Pattern Recognition, 2019) · cited 32× · AI/ML
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Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer

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Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-adversarial-framework-for-depth-filling-via-wasserstein-metric-cosine-transform-and-domain-transfer
MLA “Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-adversarial-framework-for-depth-filling-via-wasserstein-metric-cosine-transform-and-domain-transfer.
BibTeX @misc{4ortxyz_generative-adversarial-framework-for-depth-filling-via-wasserstein-metric-cosine-transform-and-domain-transfer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer}}, year = {2026}, url = {https://4ort.xyz/entity/generative-adversarial-framework-for-depth-filling-via-wasserstein-metric-cosine-transform-and-domain-transfer}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer — https://4ort.xyz/entity/generative-adversarial-framework-for-depth-filling-via-wasserstein-metric-cosine-transform-and-domain-transfer (retrieved 2026-05-24)

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