Fetching the paper…
Reading the bibliography…
Painting is an artistic process of rendering visual content that achieves the high-level communication goals of an artist that may change dynamically throughout the creative process.
Guillermo Kahlo, “Frida on bench,” 1926, frida Kahlo Museum Trust
1926
Earlier work this paper cites.
Nickolas Muray, “Frida on bench,” 1939, carbon print, 18 x 14 in
1939
Earlier work this paper cites.
A. Hertzmann, “Painterly rendering with curved brush strokes of multiple sizes,” in Proceedings of the 25th annual conference on Computer graphics and interactive techniques , 1998, pp. 453–460
1998
Earlier work this paper cites.
A. Hertzmann, “Paint by relaxation,” in Proceedings. Computer Graphics International 2001 . IEEE, 2001, pp. 47–54
2001
Earlier work this paper cites.
Dave Gehman, “Painting of one of your creative commons photos from flickr, san cristobal de la barranca, rural jalisco, mexico,” 2009. [Online]. Available: \url{https://www.flickr.com/photos/wonderlane/4154304447}
2009
Earlier work this paper cites.
K. Zeng, M. Zhao, C. Xiong, and S. C. Zhu, “From image parsing to painterly rendering.” ACM Trans. Graph. , vol. 29, no. 1, pp. 2–1, 2009
2009
Earlier work this paper cites.
2014
Earlier work this paper cites.
Z. Chen, B. Kim, D. Ito, and H. Wang, “Wetbrush: Gpu-based 3d painting simulation at the bristle level,” ACM Transactions on Graphics (TOG) , vol. 34, no. 6, pp. 1–11, 2015
2015
Earlier work this paper cites.
L. A. Gatys, A. S. Ecker, and M. Bethge, “Image style transfer using convolutional neural networks,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 2414–2423
2016
Earlier work this paper cites.
Rob Carter and Nick Carter, “Dark factory portraits,” http://www.robandnick.com/dark-factory-portraits
2017
Earlier work this paper cites.
T. Lindemeier, “e-david: Non-photorealistic rendering using a robot and visual feedback,” Ph.D. dissertation, University of Konstanz, 2018
2018
Cited alongside, same era.
R. Wu, Z. Chen, Z. Wang, J. Yang, and S. Marschner, “Brush stroke synthesis with a generative adversarial network driven by physically based simulation,” in Proceedings of the Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering , 2018, pp. 1–10
2018
Cited alongside, same era.
C. Walia, “A dynamic definition of creativity,” Creativity Research Journal , vol. 31, no. 3, pp. 237–247, 2019
2019
Cited alongside, same era.
N. Kolkin, J. Salavon, and G. Shakhnarovich, “Style transfer by relaxed optimal transport and self-similarity,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2019, pp. 10 051–10 060
2019
Cited alongside, same era.
P. Schaldenbrand and J. Oh, “Content masked loss: Human-like brush stroke planning in a reinforcement learning painting agent,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 35, no. 1, 2021, pp. 505–512
2021
Later among the works it cites.
2021
Later among the works it cites.
F. Galatolo., M. Cimino., and G. Vaglini, “Generating images from caption and vice versa via clip-guided generative latent space search,” Proceedings of the International Conference on Image Processing and Vision Engineering , 2021
2021
Later among the works it cites.
2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Z. Huang, W. Heng, and S. Zhou, “Learning to paint with model-based deep reinforcement learning,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2019, pp. 8709–8718
2019
Cited alongside, same era.
S. Wang, J. Chen, X. Deng, S. Hutchinson, and F. Dellaert, “Robot calligraphy using pseudospectral optimal control in conjunction with a novel dynamic brush model,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2020, pp. 6696–6703
2020
Cited alongside, same era.
T.-M. Li, M. Lukáč, M. Gharbi, and J. Ragan-Kelley, “Differentiable vector graphics rasterization for editing and learning,” ACM Transactions on Graphics (TOG) , vol. 39, no. 6, pp. 1–15, 2020
2020
Cited alongside, same era.
2021
Cited alongside, same era.
A. Smith and S. Colton, “Clip-guided gan image generation: An artistic exploration,” Evo* 2021 , p. 17, 2021
2021
Cited alongside, same era.
Z. Zou, T. Shi, S. Qiu, Y. Yuan, and Z. Shi, “Stylized neural painting,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 15 689–15 698
2021
Cited alongside, same era.
“Robot art competition,” https://robotart.org/
Cited in the paper.
“Rethink sawyer,” https://www.rethinkrobotics.com/sawyer
Cited in the paper.
Closest in time.
Troy Taylor, “Given the current circumstances,” 2020, [Online; accessed August 10, 2022]. [Online]. Available: \url{https://www.instagram.com/p/CDrQo3_gtan/}
2022
Closest in time.
P. Schaldenbrand, Z. Liu, and J. Oh, “Styleclipdraw: Coupling content and style in text-to-drawing translation,” in Proceedings of the International Joint Conference on Artificial Intelligence , 2022
2022
Closest in time.
V. Lim, H. Huang, L. Y. Chen, J. Wang, J. Ichnowski, D. Seita, M. Laskey, and K. Goldberg, “Real2sim2real: Self-supervised learning of physical single-step dynamic actions for planar robot casting,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 8282–8289
2022
Closest in time.
M. C. Sola and V. Guljajeva, “Dream painter: Exploring creative possibilities of ai-aided speech-to-image synthesis in the interactive art context,” Proceedings of the ACM on Computer Graphics and Interactive Techniques , vol. 5, no. 4, pp. 1–11, 2022
2022
Closest in time.
G. Lee, M. Kim, M. Lee, and B.-T. Zhang, “From scratch to sketch: Deep decoupled hierarchical reinforcement learning for robotic sketching agent,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 5553–5559
2022
Closest in time.