GhostRenia

ImageBasedModellingEduV1.0

slambook2

edition 2 of the slambook

learning-holography

Some notes, diagrams and animations to help understanding the basis of holography

Holographic-reconstruction-off-axis

Holographic reconstruction in off-axis holography.

holo-image-reconstruction

Hologram_Reconstructor

hologram_reconstruction

Repository to perform hologram reconstruction (and some simple generation).

MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

python-holographic-imaging

Python script for handling the image processing and data reconstruction of the holographic imaging system

Random-Illumination-HolographyDL

Deep learning for holographic imaging with random illuminations. Uses autoencoders for twin image removal and blind single-shot reconstruction without needing ground truth.

HoloRecPytorch

Holographic Reconstruction Pytorch

Holography

Holographic Image Reconstruction Library

angular-spectrum-method

simple matlab function of angular spectrum method of fast calculation of diffraction with band limitation setting, zero padding setting and so on

AngularSpectrumPropagator

Code for angular spectrum propagation simulation of optical system

simulator

Simulation of the Freespace Optical Convolutional Neural Networks based on PyTorch. It uses Angular Spectrum method to simulate the propagation of light in 4F device

Fringe.Py

A Python implementation of diffraction and coherent field propagation by angular spectrum method.

Angular_Spectrum_Method

Band-limited angular spectrum method

ASASM

[Optica] Modeling Off-Axis Diffraction with Least-Sampling Angular Spectrum Method

Holo-encoder-pytorch

Pytorch implement of THUHoloLab/Holo-encoder

Intelligent-3D-holo

Real-time intelligent 3D holographic photography for real-world scenarios

Intelligent-3D-holography

HoloDiffusion

HoloDiffusion's code.

FundamentalsOfComputerGraphics-CN

计算机图形学基础（中文译本）

Deep_learning_based_on_parameterized_physical_forward_model_for_adaptive_holographic_imaging

Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data

Fourier-inspired-neural-module

[Optics Letters] Fourier-inspired neural module for real-time and high-fidelity computer-generated holography

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

deep-learning-hologram

Deep_HOLO

Hologram Deep learning project

GedankenNet

Codes and demo for the paper Self-supervised Learning of Hologram Reconstruction using Physics Consistency

Tensor-Holography_pytorch