Evidence map›Paper›PMID 38649369›Full record

ArticleNature communications2024

Neural étendue expander for ultra-wide-angle high-fidelity holographic display.

Ethan Tseng, Grace Kuo, Seung-Hwan Baek, Nathan Matsuda, Andrew Maimone, Florian Schiffers, Praneeth Chakravarthula, Qiang Fu, Wolfgang Heidrich, Douglas Lanman and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ethan TsengDepartment of Computer Science, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-0223-5984
Grace KuoReality Labs Research, Meta, Redmond, WA, USA.
Seung-Hwan BaekDepartment of Computer Science, Princeton University, Princeton, NJ, USA.
Nathan MatsudaReality Labs Research, Meta, Redmond, WA, USA.
Andrew MaimoneReality Labs Research, Meta, Redmond, WA, USA.
Florian SchiffersReality Labs Research, Meta, Redmond, WA, USA.
Praneeth ChakravarthulaDepartment of Computer Science, Princeton University, Princeton, NJ, USA.
Qiang FuVisual Computing Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID http://orcid.org/0000-0001-6395-8521
Wolfgang HeidrichVisual Computing Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID http://orcid.org/0000-0002-4227-8508
Douglas LanmanReality Labs Research, Meta, Redmond, WA, USA.
Felix HeideDepartment of Computer Science, Princeton University, Princeton, NJ, USA. fheide@princeton.edu.ORCID http://orcid.org/0000-0002-8054-9823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Holographic displays can generate light fields by dynamically modulating the wavefront of a coherent beam of light using a spatial light modulator, promising rich virtual and augmented reality applications. However, the limited spatial resolution of existing dynamic spatial light modulators imposes a tight bound on the diffraction angle. As a result, modern holographic displays possess low étendue, which is the product of the display area and the maximum solid angle of diffracted light. The low étendue forces a sacrifice of either the field-of-view (FOV) or the display size. In this work, we lift this limitation by presenting neural étendue expanders. This new breed of optical elements, which is learned from a natural image dataset, enables higher diffraction angles for ultra-wide FOV while maintaining both a compact form factor and the fidelity of displayed contents to human viewers. With neural étendue expanders, we experimentally achieve 64 × étendue expansion of natural images in full color, expanding the FOV by an order of magnitude horizontally and vertically, with high-fidelity reconstruction quality (measured in PSNR) over 29 dB on retinal-resolution images.

Identifiers

PMID38649369
PMCPMC11035703

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.