KOREATECH-CGH

Jaehong Lee  ·  You Chan No  ·  YoungWoo Kim  ·  Duksu Kim
Korea University of Technology Education (KOREATECH)
6,000 RGBD–complex hologram pairs for ML-based computer-generated holography (ML-CGH).
🤗 HuggingFace CC BY-NC 4.0 📄 Arxiv (Comming soon)

Dataset Sample

RGB sample from KOREATECH-CGH

RGB

Depth sample from KOREATECH-CGH

Depth Map

Amplitude hologram sample

Ampltiude

Phase hologram sample

Phase

Abstract

KOREATECH-CGH provides RGBD–complex hologram pairs generated with a layer-based hologram method. Each sample bundles RGB, depth, amplitude, and phase at up to 2048 × 2048 resolution. The dataset targets machine learning–based computer-generated holography (ML-CGH) for hologram generation, upscaling, and related wave-optics tasks.

Directory Structure

root
  ├─test
  │  ├─amp
  │  │  └─*.exr
  │  ├─depth
  │  ├─img
  │  └─phs
  ├─train
  │  ├─amp
  │  ├─depth
  │  ├─img
  │  └─phs
  └─validation
      ├─amp
      ├─depth
      ├─img
      └─phs

Hologram Configurations

Config ID Resolution Pixel Pitch Wavelengths (R,G,B) Physical Extent (H × W × D) Download
256-3.6 256 × 256 3.6 μm 638 nm, 532 nm, 450 nm 0.9216 mm × 0.9216 mm × 10.1668 mm 🤗
512-3.6 512 × 512 3.6 μm 638 nm, 532 nm, 450 nm 1.8432 mm × 1.8432 mm × 20.3336 mm 🤗
1024-3.6 1024 × 1024 3.6 μm 638 nm, 532 nm, 450 nm 3.6864 mm × 3.6864 mm × 40.6672 mm 🤗
2048-3.6 2048 × 2048 3.6 μm 638 nm, 532 nm, 450 nm 7.3728 mm × 7.3728 mm × 81.3344 mm 🤗
Comming soon Comming soon Comming soon Comming soon Comming soon Comming soon

Per-channel specs

Data Format Channels Precision Scale
RGB .exr 3 fp32 0-1
Depth .exr 1 fp32 0-1
Amplitude .exr 3 fp32 Data dependent
Phase .exr 3 fp32 0-1

Data Splits

Split Samples
Train5,000
Validation500
Test500

Acknowledgements

Supported by the National Research Foundation of Korea (NRF) through the Ministry of Education's Basic Science Research Program (Grant 2021R1I1A3048263, 50%) and by the Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea Government (MSIT) (Grant 2019-0-00001, 50%).

Source 3D Models

RGB-D scenes were rendered from 3D meshes in the Google Scanned Objects dataset.

BibTeX

Comming soon