Fetching the paper…
Reading the bibliography…
The objective of most Reinforcement Learning painting agents is to minimize the loss between a target image and the paint canvas.
Learning to Paint with Model-based Deep Reinforcement Learning
Huang, Z.; Heng, W.; and Zhou, S. 2019 · 1903
Earlier work this paper cites.
Neural Painters: A learned differentiable constraint for generating brushstroke paintings
Nakano, R. 2019 · 1904
Earlier work this paper cites.
A Survey of Stroke-Based Rendering
Hertzmann, A. 2003 · 2003
Earlier work this paper cites.
Painterly rendered portraits from photographs using a knowledge-based approach
DiPaola, S. 2007 · 2007
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.; Kai Li; and Li Fei-Fei. 2009 · 2009
Earlier work this paper cites.
Xie, N.; Hachiya, H.; and Sugiyama, M. 2012 · 2012
Earlier work this paper cites.
FaceNet: A unified embedding for face recognition and clustering
Schroff, F.; Kalenichenko, D.; and Philbin, J. 2015 · 2015
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K.; and Zisserman, A. 2015 · 2015
Cited alongside, same era.
Continuous control with deep reinforcement learning
Lillicrap, T. P.; Hunt, J. J.; Pritzel, A.; Heess, N.; Erez, T.; Tassa, Y.; Silver, D.; and Wierstra, D. 2016 · 2016
Cited alongside, same era.
Improved Techniques for Training GANs
Salimans, T.; Goodfellow, I. J.; Zaremba, W.; Cheung, V.; Radford, A.; and Chen, X. 2016 · 2016
Cited alongside, same era.
Elgammal, A. M.; Liu, B.; Elhoseiny, M.; and Mazzone, M. 2017 · 2017
Cited alongside, same era.
A Neural Representation of Sketch Drawings
Ha, D.; and Eck, D. 2017 · 2017
Barratt, S.; and Sharma, R. 2018 · 2018
Later among the works it cites.
Synthesizing Programs for Images using Reinforced Adversarial Learning
Ganin, Y.; Kulkarni, T.; Babuschkin, I.; Eslami, S. M. A.; and Vinyals, O. 2018 · 2018
Later among the works it cites.
Recurrent World Models Facilitate Policy Evolution
Ha, D.; and Schmidhuber, J. 2018 · 2018
Later among the works it cites.
Autoregressive Quantile Networks for Generative Modeling
Ostrovski, G.; Dabney, W.; and Munos, R. 2018 · 2018
Later among the works it cites.
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; Klambauer, G.; and Hochreiter, S. 2017 · 2017
Cited alongside, same era.
Blocking In URL https://drawpaintacademy.com/blocking-in/
Scott, D. 2017 · 2017
Cited alongside, same era.
Geirhos, R.; Rubisch, P.; Michaelis, C.; Bethge, M.; Wichmann, F. A.; and Brendel, W. 2019 · 2019
Later among the works it cites.
StrokeNet: A Neural Painting Environment
Zheng, N.; Jiang, Y.; and Huang, D. 2019 · 2019
Later among the works it cites.