alexjc

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alexjc

Specific Papers

• https://arxiv.org/abs/1505.07376
  Texture Synthesis Using Convolutional Neural Networks
• https://arxiv.org/abs/1508.06576
  A Neural Algorithm of Artistic Style
• https://arxiv.org/abs/1603.03417
  Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
• https://arxiv.org/abs/1701.02096
  Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Texture Synthesis

alexjc

# Command lines to reproduce my "Extreme Style Machines" blog post:
#   https://nucl.ai/blog/extreme-style-machines/

# Code was pushed here, specifically [c17e91c] was tested:
#   https://github.com/alexjc/neural-doodle/tree/random

# SAND TEXTURE
# http://i.imgur.com/fRfRNHb.jpg
python3.5 doodle.py --style samples/Sand.small.jpg --output SandTest.png --output-size=512x512 \
                    --iterations=10 --phases=4 --print-every=1 --save-every=1 \

alexjc

Keybase proof

I hereby claim:

• I am alexjc on github.
• I am alexjc (https://keybase.io/alexjc) on keybase.
• I have a public key whose fingerprint is A44E 313C 7317 5576 C37F 59DD 3FAD 80F4 AEB2 2F58

To claim this, I am signing this object:

alexjc

#
# Copyright (c) 2015, Alex J. Champandard.
#
# This code is CC-BY-SA https://creativecommons.org/licenses/by-sa/2.0/
#
#
# Learning to evaluate random 640x320 photos from Google Street View to determine
# if they are beautiful landscapes or not!
#

alexjc

#
# Add into IPython 3.x eventloops.py
#

@register_integration('vispy')
def loop_vispy(kernel):
    """Start a kernel using a VisPy backend."""

    import vispy.app
    vispy.app.use_app(backend_name='glfw')