LiftHolo: lifted amplitude-guided deep learning for accelerated high-quality computer-generated holography

Xirun Cheng, Yong Liu, Quan Wang, Xiang Liu, Chaofan Zhang, Zhenyu Gao

Open source

DOI: 10.1364/ol.604078
Published: 2026-08-25
Container: Optics Letters
Publisher: Optica Publishing Group
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1364/ol.604078,
  title = {LiftHolo: lifted amplitude-guided deep learning for accelerated high-quality computer-generated holography},
  author = {Xirun Cheng and Yong Liu and Quan Wang and Xiang Liu and Chaofan Zhang and Zhenyu Gao},
  year = {2026},
  journal = {Optics Letters},
  doi = {10.1364/ol.604078},
  url = {https://doi.org/10.1364/ol.604078}
}

RIS

TY  - JOUR
TI  - LiftHolo: lifted amplitude-guided deep learning for accelerated high-quality computer-generated holography
AU  - Xirun Cheng
AU  - Yong Liu
AU  - Quan Wang
AU  - Xiang Liu
AU  - Chaofan Zhang
AU  - Zhenyu Gao
PY  - 2026
JO  - Optics Letters
DO  - 10.1364/ol.604078
UR  - https://doi.org/10.1364/ol.604078
ER  -

APA

Cheng, X., Liu, Y., Wang, Q., Liu, X., Zhang, C., & Gao, Z. (2026). LiftHolo: lifted amplitude-guided deep learning for accelerated high-quality computer-generated holography. Optics Letters. https://doi.org/10.1364/ol.604078

Source records

crossref · retrieved 2026-09-24T18:36:16.296Z