190 Open source projects that are alternatives of or similar to picasso

Manual, source-code and binaries for the NanoJ-Fluidics project

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

Python samples for Micro-Manager: image acquisition and microscope control system

Multiple file format reading directly into napari using pure Python

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Config and scripts used to run a Nikon Eclipse Ti in the vanNimwegen lab.

Pytorch framework can easily implement srcnn algorithm with excellent performance

computational zoom from raw sensor data

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Deep and Machine Learning for Microscopy

No description or website provided.

Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.

Super Resolution for Anime image, lightweight implementation

Open Delmic Microscope Software

将任何窗口放大至全屏

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

Java (ImageJ/Fiji) software package for 3D deconvolution microscopy

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

A scientific publication, describing a way to improve microscopy. This repository hosts everything you need to reproduce our results. Read the publication here: https://andrewgyork.github.io/remote_refocus/

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"

Gaussian processes and Bayesian optimization for images and hyperspectral data

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

Lattice light-sheet post-processing utility.

AI无损放大工具

Automated 3D cell detection and registration of whole-brain images

Fast and Accurate 3D PSF Computation for Fluorescence Microscopy

native Python dataclasses for the OME data model

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

Axon/Myelin segmentation using Deep Learning

Single-cell fluorescence microscopy data analysis

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.

An interactive image processing program for biologists written in Python.

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Automated 3D brain registration with support for multiple species and atlases.

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

A convex 3D deconvolution algorithm for low photon count fluorescence imaging

Pytorch implementation for LapSRN (CVPR2017)

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

Simple demo of structured illumination microscopy image fusion via Richardson-Lucy deconvolution

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Multi-frame super-resolution via sub-pixel.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

A High-Quality Real Time Upscaler for Anime Video

SRDenseNet-pytorch（ICCV_2017）

🔬🍸 Home of the ImageJ BAR: A collection of Broadly Applicable Routines for ImageJ

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

A lightweight python module to interact with atlases for systems neuroscience