Writto - Goal: Forward

writto - Goal: forward

More Posts from Writto and Others

6 years ago
Forest, Pejac
Forest, Pejac
Forest, Pejac

Forest, Pejac

9 years ago
Mirror, Mirror
Mirror, Mirror
Mirror, Mirror
Mirror, Mirror

Mirror, mirror

9 years ago
Near At Hand, Greg Ponthus

Near at hand, Greg Ponthus

7 years ago
writto - Goal: forward
9 years ago
15mins Spitpaint - Topic - “little Red Riding Hood”… It’s Been A While I Haven’t Updated My

15mins spitpaint - topic - “little red riding hood”… it’s been a while i haven’t updated my artblog, been busy with work *^*’

9 years ago
Light Painting By Dan Chick

Light painting by Dan Chick

8 years ago
Filippo Nesci

Filippo Nesci

9 years ago
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 
Wonderful Mosaics Color By Artist Erin Hanson 

Wonderful Mosaics color by Artist Erin Hanson 

Erin Hanson  transforms landscapes into abstract color mosaics using an impasto application of paint, where thick layers of paint create almost sculptural forms on the canvas. She tries to use as few strokes as possible without lamination, a process that has been called “open Impressionism. ”

source:library and chambre237

8 years ago
Image-To-Image Demo
Image-To-Image Demo
Image-To-Image Demo

Image-To-Image Demo

Set of interactive browser-based machine learning experiments put together by Christopher Hesse turns doodles into images with various neural network trained image data. For example, in ‘edges2cats’, your simple doodle will be recreated with image data from a dataset of cat pictures:

Recently, I made a Tensorflow port of pix2pix by Isola et al., covered in the article Image-to-Image Translation in Tensorflow. I’ve taken a few pre-trained models and made an interactive web thing for trying them out. Chrome is recommended.The pix2pix model works by training on pairs of images such as building facade labels to building facades, and then attempts to generate the corresponding output image from any input image you give it. The idea is straight from the pix2pix paper, which is a good read. …

[On edges2cats:] Trained on about 2k stock cat photos and edges automatically generated from those photos. Generates cat-colored objects, some with nightmare faces. The best one I’ve seen yet was a cat-beholder.Some of the pictures look especially creepy, I think because it’s easier to notice when an animal looks wrong, especially around the eyes. The auto-detected edges are not very good and in many cases didn’t detect the cat’s eyes, making it a bit worse for training the image translation model. 

You can also try doodles in datasets comprising of shoes, handbags, and building facades.

You can play around with the neural doodle experiments here

8 years ago
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin
Abandonment Issues, James Kerwin

Abandonment issues, James Kerwin

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writto - Goal: forward
Goal: forward

A simple reblog blog, aimed to support artwork, ideas and other mind candy.

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