Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 25, 2024Open Access

Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays

View Full Paper
Ask AI
Bookmark
Share

Authors

ZDZhenxing DongJJJidong JiaYLYan Li

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Dong et al. (2024) studied this question.

synapsesocial.com/papers/68e77b3bb6db6435876efbdfhttps://doi.org/10.48550/arxiv.2404.10777
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deep learning-based approach for efficient generation and transmission of high-definition computer-generated holography2024 · 3 citations
  2. 2Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation2025 · 2 citations
  3. 3High-Resolution Hogel Image Generation Using GPU Acceleration2025
  4. 4Mesh-represented and learning-empowered hologram synthesis for full 3D holographic displays2026
  5. 5Achieving consumer-grade image quality in computer-generated holography on 4K LCoS displays.2024