Gaussian noise robust face hallucination via average filtering based data fidelity and locality regularization is a scholarly article[1].
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Gaussian noise robust face hallucination via average filtering based data fidelity and locality regularization's instance of is recorded as scholarly article[2].
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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.
APA4ort.xyz Knowledge Graph. (2026). Gaussian noise robust face hallucination via average filtering based data fidelity and locality regularization. Retrieved October 20, 2026, from https://4ort.xyz/entity/gaussian-noise-robust-face-hallucination-via-average-filtering-based-data-fidelity-and-locality-regularization
MLA“Gaussian noise robust face hallucination via average filtering based data fidelity and locality regularization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/gaussian-noise-robust-face-hallucination-via-average-filtering-based-data-fidelity-and-locality-regularization.
BibTeX@misc{4ortxyz_gaussian-noise-robust-face-hallucination-via-average-filtering-based-data-fidelity-and-locality-regularization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gaussian noise robust face hallucination via average filtering based data fidelity and locality regularization}}, year = {2026}, url = {https://4ort.xyz/entity/gaussian-noise-robust-face-hallucination-via-average-filtering-based-data-fidelity-and-locality-regularization}, note = {Accessed: 2026-10-20}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gaussian noise robust face hallucination via average filtering based data fidelity and locality regularization — https://4ort.xyz/entity/gaussian-noise-robust-face-hallucination-via-average-filtering-based-data-fidelity-and-locality-regularization (retrieved 2026-10-20)
