Copying an element from a photo and pasting it into a painting is a challenging task. Applying photo compositing techniques in this context yields subpar results that look like a collage --- and existing painterly stylization algorithms, which are global, perform poorly when applied locally. We address these issues with a dedicated algorithm that carefully determines the local statistics to be transferred. We ensure both spatial and inter-scale statistical consistency and demonstrate that both aspects are key to generating quality results. To cope with the diversity of abstraction levels and types of paintings, we introduce a technique to adjust the parameters of the transfer depending on the painting. We show that our algorithm produces significantly better results than photo compositing or global stylization techniques and that it enables creative painterly edits that would be otherwise difficult to achieve.

https://arxiv.org/abs/1804.03189

Chataigne is made with one goal in mind : create a common tool for artists, technicians and developers who wish to use technology and synchronize softwares for shows, interactive installations or prototyping. It aims to be as simple as possible for basic interactions, but can be easily extended to create complex interactions

All the bandcamp album made with Pure Data.

Wildfire is a free and user-friendly image-processing software, mostly known for its sophisticated flame-fractal-generator. It is Java-based, open-source and runs on any major computer-plattform. There is also a special Android-version for mobile devices.

An extensive and extendable painting application with an extensive range of features, including: both bitmap and vector graphics; multiple layers; five kinds of color picker; patterns, textures, and gradients; dashed lines and arrowheads; a spirograph generator; and even a cellular automaton tool (pictured below).

Fractorium and its associated command line tools can render fractal flames using the CPU, or OpenCL. In order to use OpenCL, you must have an nVidia card that has the Fermi architecture or later, or a recent AMD card. If you attempt to use an unsupported card, you will receive an error message and the CPU renderer will be used instead.

SpaceEngine is a realistic virtual Universe you can explore on your computer. You can travel from star to star, from galaxy to galaxy, landing on any planet, moon, or asteroid with the ability to explore its alien landscape. You can alter the speed of time and observe any celestial phenomena you please. All transitions are completely seamless, and this virtual universe has a size of billions of light-years across and contains trillions upon trillions of planetary systems. The procedural generation is based on real scientific knowledge, so SpaceEngine depicts the universe the way it is thought to be by modern science. Real celestial objects are also present if you want to visit them, including the planets and moons of our Solar system, thousands of nearby stars with newly discovered exoplanets, and thousands of galaxies that are currently known.

Embroidermodder is a free machine embroidery software program which allows editing, scaling, and translating sewing machine embroidery files to a variety of formats. It allows the user to add custom modifications to their embroidery designs.
The user interface has been written from scratch using C++. It harnesses the powerful Qt framework to achieve platform independence. The 3 major desktop operating systems (Windows, Mac and Linux) will be targeted.
In addition to the desktop, it already works with the Raspberry Pi and we have a working demo of our code running on an Arduino. This will pave the way for low cost open source embroidery machines. We would also like to collaborate with the creators of the Smoothieboard so anyone who has one of those boards could also benefit from our work.
Very few other embroidery applications are cross-platform, with most only able to natively run on Windows. Our interface is very consistent across all platforms we support so there is no need to re-learn the interface when using it on a different operating system.
The interface itself is a CAD/CAM software but tailored for embroidery. This is intentional since both CAD and embroidery use vector formats and the embroidery machines are really just specialized CNC equipment (I.E. 3D Printers, CNC Laser Cutters, CNC Routers, CNC Lathes). So if you are interested in or familiar with CAD/CAM, then it will be possible to use it in that fashion also.
The interface is very similar to existing CAD applications so existing CAD users should be able to start using it immediately with little or no learning curve. It also incorporates additional features which are typically present in less precise graphics applications, such as the auto-adjusting ruler and an easily accessible undo history.

PatterNodes is a procedural design to for creating graphical patterns, animations or illustrations based on repetitions. This is done by defining a sequence of steps that describes the design, using nodes and connections between them. PatterNodes is designed from the start to make it easy to tweak things to see how they turn out. Therefore the resulting design output is always shown in the bottom preview view, repeated for patterns and updating in real time with any changes, giving you instant feedback of what the end result will be.

While the software can be used to create many types of illustrations and animations it's primarily aimed at pattern creation. To make pattern creation easier PatterNodes also includes a lot of nodes that automatically perform common tedious tasks like repeating elements at the tile edges to make the pattern seamless, or randomizing different aspects (like color, position, rotation..) of the elements in a pattern to give it a little more life.

https://creativepro.com/review-patternodes/
https://www.behance.net/lostminds

A free and open-source intermedia sequencer

Enables precise and flexible scripting of interactive scenarios. Control and score any OSC-compliant software or hardware : Max/MSP, PureData, OpenFrameworks, Processing...

Open Stage Control is a libre desktop OSC bi-directionnal control surface application. It's built with HTML, JavaScript & CSS on top of Electron framework

Download here : https://github.com/jean-emmanuel/open-stage-control/releases

Features

• mouse & multi-touch sensitive widgets
• modular & responsive layout
• built-in live editor
• bi-directionnal osc bindings
• headless server mode with any number of clients using chromium
• app state store / recall & import / export
• themes

Artificial Neural Networks have spurred remarkable recent progress in image classification and speech recognition. But even though these are very useful tools based on well-known mathematical methods, we actually understand surprisingly little of why certain models work and others don’t. So let’s take a look at some simple techniques for peeking inside these networks.

We train an artificial neural network by showing it millions of training examples and gradually adjusting the network parameters until it gives the classifications we want. The network typically consists of 10-30 stacked layers of artificial neurons. Each image is fed into the input layer, which then talks to the next layer, until eventually the “output” layer is reached. The network’s “answer” comes from this final output layer.

One of the challenges of neural networks is understanding what exactly goes on at each layer. We know that after training, each layer progressively extracts higher and higher-level features of the image, until the final layer essentially makes a decision on what the image shows. For example, the first layer maybe looks for edges or corners. Intermediate layers interpret the basic features to look for overall shapes or components, like a door or a leaf. The final few layers assemble those into complete interpretations—these neurons activate in response to very complex things such as entire buildings or trees.

One way to visualize what goes on is to turn the network upside down and ask it to enhance an input image in such a way as to elicit a particular interpretation. Say you want to know what sort of image would result in “Banana.” Start with an image full of random noise, then gradually tweak the image towards what the neural net considers a banana (see related work in [1], [2], [3], [4]). By itself, that doesn’t work very well, but it does if we impose a prior constraint that the image should have similar statistics to natural images, such as neighboring pixels needing to be correlated.

Automatic Cinema aims at an artistic audience. The software can be used for exhibitions or installations, where a variety of media are served on various screens and channels – syncronized or not. Since all media assets are stored in a database, Automatic Cinema is also useful for documentarists and researchers with a structural approach to their material. And last but not least, Automatic Cinema is open source and can be developed by anybody. Instead of cutting a bunch of videoclips the hard way, Automatic Cinema generates countless versions based upon predefined styles. Probably, you'll end up seeing a movie you've never been thinking of — serendipity in it's best way.

Echo Nest Remix is the Internet Synthesizer. Make amazing things from music, automatically.

Turn any music or video into Python or JavaScript code.

Echo Nest Remix lets you remix, re-edit, and reimagine any piece of music and video, automatically and algorithmically.

Remix has done the following: played a song forever, walkenized and cowbellized hundreds of thousands of songs in a week, reversed basically everything, beat matched two songs, split apart DJ mixes by their individual tracks, made new kinds of video mashups, corrected sloppy drumming, synced video to a song, transitioned between multiple covers of the same song, made a cat play piano, and taught dogs to play dubstep. Check out all the examples here.

Remix is available as an open source SDK for you to use, for Mac, Linux, and Windows:

Install for Python: sudo pip install remix. Full installation details, packages for Mac and Windows, and complete Python documentation are here.

Try JavaScript: Test out remix.js here.

Download JavaScript: remix.js. Full JavaScript install details and documentation are here.

We describe a novel algorithm for extracting a resolution-independent vector representation from pixel art images, which enables magnifying the results by an arbitrary amount without image degradation. Our algorithm resolves pixel-scale features in the input and converts them into regions with smoothly varying shading that are crisply separated by piecewise-smooth contour curves. In the original image, pixels are represented on a square pixel lattice, where diagonal neighbors are only connected through a single point. This causes thin features to become visually disconnected under magnification by conventional means, and it causes connectedness and separation of diagonal neighbors to be ambiguous. The key to our algorithm is in resolving these ambiguities. This enables us to reshape the pixel cells so that neighboring pixels belonging to the same feature are connected through edges, thereby preserving the feature connectivity under magnification. We reduce pixel aliasing artifacts and improve smoothness by fitting spline curves to contours in the image and optimizing their control points.

Rekall est un logiciel destiné à l’ensemble des arts de la scène (théâtre, danse, musique, cirque, marionnettes, performance…) et aux installations interactives.

Rekall permet de :

• documenter et conserver les œuvres à composante technologique
• reprendre un spectacle dont les technologies sont obsolètes
• retrouver les choix techniques et artistiques d’une résidence à une autre

Rekall est conçu pour :

• les régisseurs : prise de note rapide pendant les répétitions, mémorisation des différentes conduites techniques (son, lumière, vidéo, dispositifs technologiques), regroupement de tous les documents techniques
• les artistes : regroupement et sauvegarde des différents éléments du spectacle (artistiques et technologiques) afin d’en assurer la reprise en prenant en compte l’obsolescence programmée des technologies et l’intentionnalité des concepteurs
• les historiens : documentation des œuvres en prenant en compte le processus de création, les différentes variantes et la multiplicité des types de documents
• les responsables pédagogiques et les éditeurs : création de documentaires enrichis

Rekall documente un spectacle à plusieurs moments de sa vie :

• pendant les répétitions : aide aux régisseurs et aux techniciens
• au moment de la création et pendant l’exploitation : aide aux artistes pour la reprise du spectacle
• après la création : aide aux historiens et aux éditeurs pour analyser une œuvre

IanniX is a graphical open source sequencer, based on Iannis Xenakis works, for digital art. IanniX syncs via Open Sound Control (OSC) events and curves to your real-time environment.

GrafX2 is a bitmap paint program inspired by the Amiga programs Deluxe Paint and Brilliance. Specialized in 256-color drawing, it includes a very large number of tools and effects that make it particularly suitable for pixel art, game graphics, and generally any detailed graphics painted with a mouse. The program is mostly developed on Linux and Windows, but is also portable on many other platforms.

SuperCollider is an environment and programming language for real time audio synthesis and algorithmic composition. It provides an interpreted object-oriented language which functions as a network client to a state of the art, realtime sound synthesis server.

SuperCollider was written by James McCartney over a period of many years, and is now an open source (GPL) project maintained and developed by various people. It is used by musicians, scientists, and artists working with sound. For some background, see SuperCollider described by Wikipedia.