Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3588037.3595395acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
abstract

Neural Holographic Near-eye Displays for Virtual Reality

Published: 26 July 2023 Publication History

Abstract

By manipulating light as a wavefront, holographic displays have the potential to revolutionize virtual reality (VR) and augmented reality (AR) systems. These displays support 3D focus cues for visual comfort, vision correcting capabilities, and high light efficiency. However, despite their incredible promise, holographic displays have consistently been hampered by poor image quality. Recently, artificial intelligence–driven computer-generated holography (CGH) algorithms have emerged as a solution to this obstacle. On a prototype holographic display, we demonstrate how the progress of recent state-of-the-art Neural Holography algorithms can produce high-quality dynamic 3D holograms with accurate focus cues. The advances demonstrated in this work aim to provide a glimpse into a future where our displays can fully reproduce three-dimensional virtual content.

Supplemental Material

MP4 File
Presentation Video

References

[1]
Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O’Toole, and Gordon Wetzstein. 2022. Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators. In Proceedings of the ACM SIGGRAPH. 1–8.
[2]
Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, and Gordon Wetzstein. 2021. Neural 3D Holography: Learning Accurate Wave Propagation Models for 3D Holographic Virtual and Augmented Reality Displays. ACM Trans. Graph. (SIGGRAPH Asia) (2021).
[3]
Manu Gopakumar, Jonghyun Kim, Suyeon Choi, Yifan Peng, and Gordon Wetzstein. 2021. Unfiltered holography: optimizing high diffraction orders without optical filtering for compact holographic displays. Optics Letters 46, 23 (2021), 5822–5825.
[4]
Jonghyun Kim, Manu Gopakumar, Suyeon Choi, Yifan Peng, Ward Lopes, and Gordon Wetzstein. 2022. Holographic Glasses for Virtual Reality. In Proceedings of the ACM SIGGRAPH. 1–8.
[5]
Yifan Peng, Suyeon Choi, Nitish Padmanaban, and Gordon Wetzstein. 2020. Neural holography with camera-in-the-loop training. ACM Transactions on Graphics (TOG) 39, 6 (2020), 1–14.
[6]
Liang Shi, Beichen Li, Changil Kim, Petr Kellnhofer, and Wojciech Matusik. 2021. Towards real-time photorealistic 3D holography with deep neural networks. Nature 591, 7849 (2021), 234–239.
[7]
Liang Shi, Beichen Li, and Wojciech Matusik. 2022. End-to-end learning of 3d phase-only holograms for holographic display. Light: Science & Applications 11, 1 (2022), 247.

Index Terms

  1. Neural Holographic Near-eye Displays for Virtual Reality

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      SIGGRAPH '23: ACM SIGGRAPH 2023 Emerging Technologies
      July 2023
      44 pages
      ISBN:9798400701542
      DOI:10.1145/3588037
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 July 2023

      Check for updates

      Author Tags

      1. augmented reality
      2. computational displays
      3. holography
      4. virtual reality

      Qualifiers

      • Abstract
      • Research
      • Refereed limited

      Funding Sources

      Conference

      SIGGRAPH '23
      Sponsor:

      Acceptance Rates

      Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 405
        Total Downloads
      • Downloads (Last 12 months)186
      • Downloads (Last 6 weeks)14
      Reflects downloads up to 12 Nov 2024

      Other Metrics

      Citations

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format.

      HTML Format

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media