Differentiable Image Parameterizations

[1]  Andrea Vedaldi,et al.  Deep Image Prior , 2017, International Journal of Computer Vision.

[2]  Tatsuya Harada,et al.  Neural 3D Mesh Renderer , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[3]  Logan Engstrom,et al.  Synthesizing Robust Adversarial Examples , 2017, ICML.

[4]  Xi Chen,et al.  Evolution Strategies as a Scalable Alternative to Reinforcement Learning , 2017, ArXiv.

[5]  Vincent Dumoulin,et al.  Deconvolution and Checkerboard Artifacts , 2016 .

[6]  David Ha,et al.  Generating Large Images from Latent Vectors , 2016 .

[7]  Martín Abadi,et al.  TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.

[8]  Leon A. Gatys,et al.  A Neural Algorithm of Artistic Style , 2015, ArXiv.

[9]  David Ha,et al.  Neural Network Generative Art in Javascript , 2015 .

[10]  Jason Yosinski,et al.  Deep neural networks are easily fooled: High confidence predictions for unrecognizable images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Yann LeCun,et al.  The Loss Surfaces of Multilayer Networks , 2014, AISTATS.

[12]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[13]  Alexander Mordvintsev,et al.  Inceptionism: Going Deeper into Neural Networks , 2015 .

[14]  Tom Schaul,et al.  Natural Evolution Strategies , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[15]  Kenneth O. Stanley,et al.  Compositional Pattern Producing Networks : A Novel Abstraction of Development , 2007 .

[16]  Deborah Silver,et al.  Feature Visualization , 1994, Scientific Visualization.

[17]  Karl Sims,et al.  Artificial evolution for computer graphics , 1991, SIGGRAPH.