Stars
Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image rest…
Optimised tools for group-indexing operations: aggregated sum and more
Scientific computing library for optics, computer graphics and visual perception.
Code and data for Neural Holography
dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
spatiotemporal fusion method
🎞数字全息术与计算机生成全息的计算与仿真框架【This library introduces the current production process of computer holography, and uses MATLAB and Python to record and reproduce holograms. In the future, I will build a com…
pytorch单精度、半精度、混合精度、单卡、多卡（DP / DDP）、FSDP、DeepSpeed模型训练代码，并对比不同方法的训练速度以及GPU内存的使用
A Python/TensorFlow implementation of DeepCGH, a framework for unsupervised deep learning-based computer-generated holography.
pytorch implementation of tv loss
Neural network training using iterated projections.
Denoising Masked Autoencoders Help Robust Classification.
Code and data for Neural 3D Holography | SIGGRAPH Asia 2021
Python ports of some of Peter Kovesi's MATLAB functions for image analysis using local phase information
Official code of "Deep Variational Network Toward Blind Image Restoration".
An unofficial PyTorch implementation of a image denoising network, called FFDNet.
🔆 Realistic simulations of holographic displays.
[NeurIPS2024] AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection
Example code for data-driven and physics-driven deep learning phase recovery
PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)
[CVPR2025] A Physics-Informed Blur Learning Framework for Imaging Systems
Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data
[ICASSP 2021] code for Plug-and-play Deep Image Prior