Lists (11)
Differentiable design
Existing Lenless Work
Some code about existing lensless reconstruction.Fourier optics
✨ Inspiration
Inverse Problem for imaging
Neural Network
Neural Representation
NeRF and GSOptics
Stars
A collection of implementations of adversarial domain adaptation algorithms
A 3D electromagnetic FDTD simulator written in Python with optional GPU support
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
Differentiable Finite Element Method with JAX
Differentiable optical lens simulator for end-to-end cameras.
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
🦐 Electromagnetic Simulation + Automatic Differentiation
A simple and light-weight camera image processing pipeline
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.
Official PyTorch implementation of the NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (https://arxiv.org/abs/2206.00941)"
A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
This is a GUI for easily visualizing detection results .
This is the open source repository for our IEEE Transactions on Computational Imaging 2022 paper "dO: A differentiable engine for Deep Lens design of computational imaging systems".
Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
Python library for making 3D plots with blender
Scientific computing library for optics, computer graphics and visual perception.
The semantic segmentation of remote sensing images
Accepted by CVPR 2022
PyTorch-based differentiable material graph library for procedural material capture
Differentiable wave optics using JAX! Documentation can be found at https://chromatix.readthedocs.io
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
🌱 Guided-mode expansion of photonic crystal slabs
A framework for performing optical propagation simulations, meant for high contrast imaging, in Python.