Fetching the paper…
Reading the bibliography…
In the last few years, artistic image-making with deep learning models has gained a considerable amount of traction.
R. Franke, “A critical comparison of some methods for interpolation of scattered data,” NAVAL POSTGRADUATE SCHOOL MONTEREY CA, Tech. Rep., 1979
1979
Earlier work this paper cites.
S. Kirkpatrick, C. D. Gelatt Jr, and M. P. Vecchi, “Optimization by simulated annealing,” science , vol. 220, no. 4598, pp. 671–680, 1983
1983
Earlier work this paper cites.
M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active contour models,” International journal of computer vision , vol. 1, no. 4, pp. 321–331, 1988
1988
Earlier work this paper cites.
P. Haeberli, “Paint by numbers: Abstract image representations,” in Proceedings of the 17th annual conference on Computer graphics and interactive techniques , 1990, pp. 207–214
1990
Earlier work this paper cites.
K. Sims, “Artificial evolution for computer graphics,” in Proceedings of the 18th annual conference on Computer graphics and interactive techniques , 1991, pp. 319–328
1991
Earlier work this paper cites.
W. Latham and S. Todd, Evolutionary art and computers . Academic Press Inc, 1992
1992
Earlier work this paper cites.
G. Winkenbach and D. H. Salesin, “Computer-generated pen-and-ink illustration,” in Proceedings of the 21st annual conference on Computer graphics and interactive techniques , 1994, pp. 91–100
1994
Earlier work this paper cites.
B. J. Meier, “Painterly rendering for animation,” in Proceedings of the 23rd annual conference on Computer graphics and interactive techniques , 1996, pp. 477–484
1996
Earlier work this paper cites.
G. Turk and D. Banks, “Image-guided streamline placement,” in Proceedings of the 23rd annual conference on Computer graphics and interactive techniques , 1996, pp. 453–460
1996
Earlier work this paper cites.
C. J. Curtis, S. E. Anderson, J. E. Seims, K. W. Fleischer, and D. H. Salesin, “Computer-generated watercolor,” in Proceedings of the 24th annual conference on Computer graphics and interactive techniques , 1997, pp. 421–430
1997
Earlier work this paper cites.
P. Litwinowicz, “Processing images and video for an impressionist effect,” in Proceedings of the 24th annual conference on Computer graphics and interactive techniques , 1997, pp. 407–414
1997
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.
R. S. Sutton, D. McAllester, S. Singh, and Y. Mansour, “Policy gradient methods for reinforcement learning with function approximation,” Advances in neural information processing systems , vol. 12, 1999
1999
Earlier work this paper cites.
A. Hertzmann and K. Perlin, “Painterly rendering for video and interaction,” in Proceedings of the 1st international symposium on Non-photorealistic animation and rendering , 2000, pp. 7–12
2000
Earlier work this paper cites.
NPAR ’00: Proceedings of the 1st International Symposium on Non-Photorealistic Animation and Rendering . New York, NY, USA: Association for Computing Machinery, 2000
2000
Earlier work this paper cites.
O. Deussen, S. Hiller, C. Van Overveld, and T. Strothotte, “Floating points: A method for computing stipple drawings,” in Computer Graphics Forum , vol. 19, no. 3. Wiley Online Library, 2000, pp. 41–50
2000
Earlier work this paper cites.
M. Shiraishi and Y. Yamaguchi, “An algorithm for automatic painterly rendering based on local source image approximation,” in Proceedings of the 1st international symposium on Non-photorealistic animation and rendering , 2000, pp. 53–58
2000
Earlier work this paper cites.
P. Monasse and F. Guichard, “Fast computation of a contrast-invariant image representation,” IEEE Transactions on Image Processing , vol. 9, no. 5, pp. 860–872, 2000
2000
Earlier work this paper cites.
T. Szirányi and Z. Tóth, “Random paintbrush transformation,” in Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 , vol. 3. IEEE, 2000, pp. 151–154
2000
Earlier work this paper cites.
A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless, and D. H. Salesin, “Image analogies,” in Proceedings of the 28th annual conference on Computer graphics and interactive techniques , 2001, pp. 327–340
2001
Earlier work this paper cites.
A. Hausner, “Simulating decorative mosaics,” in Proceedings of the 28th annual conference on Computer graphics and interactive techniques , 2001, pp. 573–580
2001
Earlier work this paper cites.
A. G. Bors, “Introduction of the radial basis function (rbf) networks,” in Online symposium for electronics engineers , vol. 1, no. 1. DSP Algorithms San Jose, CA, USA, 2001, pp. 1–7
2001
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.
——, “Optimization of paintbrush rendering of images by dynamic mcmc methods,” in International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition . Springer, 2001, pp. 201–215
2001
Earlier work this paper cites.
D. DeCarlo and A. Santella, “Stylization and abstraction of photographs,” ACM transactions on graphics (TOG) , vol. 21, no. 3, pp. 769–776, 2002
2002
Earlier work this paper cites.
A. Hertzmann, “Fast paint texture,” in Proceedings of the 2nd International Symposium on Non-photorealistic Animation and Rendering , 2002, pp. 91–ff
2002
Earlier work this paper cites.
J. Collomosse and P. Hall, “Painterly rendering using image salience,” in Proceedings 20th Eurographics UK Conference . IEEE, 2002, pp. 122–128
2002
Earlier work this paper cites.
A. Santella and D. DeCarlo, “Abstracted painterly renderings using eye-tracking data,” in Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering , 2002, pp. 75–ff
2002
Earlier work this paper cites.
D. Nehab and L. Velho, “Multiscale moment-based painterly rendering,” in Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing . IEEE, 2002, pp. 244–251
2002
Earlier work this paper cites.
B. Gooch, G. Coombe, and P. Shirley, “Artistic vision: painterly rendering using computer vision techniques,” in Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering , 2002, pp. 83–ff
2002
Earlier work this paper cites.
A. Hertzmann, “A survey of stroke-based rendering.” Institute of Electrical and Electronics Engineers, 2003
2003
Earlier work this paper cites.
J. Hays and I. Essa, “Image and video based painterly animation,” in Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering , 2004, pp. 113–120
2004
Earlier work this paper cites.
L. Kovács and T. Szirányi, “Painterly rendering controlled by multiscale image features,” in Proceedings of the 20th Spring Conference on Computer Graphics , 2004, pp. 177–184
2004
Earlier work this paper cites.
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: from error visibility to structural similarity,” IEEE transactions on image processing , vol. 13, no. 4, pp. 600–612, 2004
2004
Earlier work this paper cites.
J. P. Collomosse and P. M. Hall, “Genetic paint: A search for salient paintings,” in Workshops on Applications of Evolutionary Computation . Springer, 2005, pp. 437–447
2005
Earlier work this paper cites.
H. W. Kang, C. K. Chui, and U. K. Chakraborty, “A unified scheme for adaptive stroke-based rendering,” The Visual Computer , vol. 22, no. 9, pp. 814–824, 2006
2006
Earlier work this paper cites.
E. Zhang, J. Hays, and G. Turk, “Interactive tensor field design and visualization on surfaces,” IEEE Transactions on Visualization and Computer Graphics , vol. 13, no. 1, pp. 94–107, 2006
2006
Earlier work this paper cites.
F. Wen, Q. Luan, L. Liang, Y.-Q. Xu, and H.-Y. Shum, “Color sketch generation,” in Proceedings of the 4th international symposium on Non-photorealistic animation and rendering , 2006, pp. 47–54
2006
Earlier work this paper cites.
M. Shugrina, M. Betke, and J. Collomosse, “Empathic painting: interactive stylization through observed emotional state,” in Proceedings of the 4th international symposium on Non-photorealistic animation and rendering , 2006, pp. 87–96
2006
Earlier work this paper cites.
J. Sun, L. Liang, F. Wen, and H.-Y. Shum, “Image vectorization using optimized gradient meshes,” ACM Transactions on Graphics (TOG) , vol. 26, no. 3, pp. 11–es, 2007
2007
Earlier work this paper cites.
U. K. Chakraborty, H. W. Kang, and P. P. Wang, “Image-based painterly rendering by evolutionary algorithm,” New Mathematics and Natural Computation , vol. 3, no. 02, pp. 239–257, 2007
2007
Earlier work this paper cites.
Y. Park and K. Yoon, “Motion map generation for maintaining the temporal coherence of brush strokes,” in Advances in Computer Graphics and Computer Vision . Springer, 2007, pp. 139–152
2007
Earlier work this paper cites.
S. Colton, M. F. Valstar, and M. Pantic, “Emotionally aware automated portrait painting,” in Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts , 2008, pp. 304–311
2008
Earlier work this paper cites.
Y.-K. Lai, S.-M. Hu, and R. R. Martin, “Automatic and topology-preserving gradient mesh generation for image vectorization,” ACM Transactions on Graphics (TOG) , vol. 28, no. 3, pp. 1–8, 2009
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.
S. Seo, J. Park, and K. Yoon, “A painterly rendering based on stroke profile and database.” in CAe , 2009, pp. 9–16
2009
Cited alongside, same era.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in 2009 IEEE Conference on Computer Vision and Pattern Recognition , 2009, pp. 248–255
2009
Cited alongside, same era.
H. Lee, C. Lee, and K. Yoon, “Motion based painterly rendering,” in Computer Graphics Forum , vol. 28, no. 4. Wiley Online Library, 2009, pp. 1207–1215
2009
Cited alongside, same era.
L. Northam, J. Istead, and C. S. Kaplan, “Brush stroke ordering techniques for painterly rendering.” in CAe , 2010, pp. 59–66
2010
Cited alongside, same era.
R. Szeliski, Computer vision: algorithms and applications . Springer Science & Business Media, 2010
2010
Cited alongside, same era.
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang, “The unreasonable effectiveness of deep features as a perceptual metric,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2018, pp. 586–595
2018
Later among the works it cites.
J. Song, K. Pang, Y.-Z. Song, T. Xiang, and T. M. Hospedales, “Learning to sketch with shortcut cycle consistency,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2018, pp. 801–810
2018
Later among the works it cites.
2018
Later among the works it cites.
N. Zheng, Y. Jiang, and D. Huang, “Strokenet: A neural painting environment,” in International Conference on Learning Representations , 2018
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
M. Kagaya, W. Brendel, Q. Deng, T. Kesterson, S. Todorovic, P. J. Neill, and E. Zhang, “Video painting with space-time-varying style parameters,” IEEE transactions on visualization and computer graphics , vol. 17, no. 1, pp. 74–87, 2010
2010
Cited alongside, same era.
M. Zhao and S.-C. Zhu, “Sisley the abstract painter,” in Proceedings of the 8th International Symposium on non-photorealistic animation and rendering , 2010, pp. 99–107
2010
Cited alongside, same era.
J. Lu, P. V. Sander, and A. Finkelstein, “Interactive painterly stylization of images, videos and 3d animations,” in Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games , 2010, pp. 127–134
2010
Cited alongside, same era.
F. Sehnke, C. Osendorfer, T. Rückstieß, A. Graves, J. Peters, and J. Schmidhuber, “Parameter-exploring policy gradients,” Neural Networks , vol. 23, no. 4, pp. 551–559, 2010
2010
Cited alongside, same era.
L. Lin, K. Zeng, H. Lv, Y. Wang, Y.-Q. Xu, and S.-C. Zhu, “Painterly animation using video semantics and feature correspondence,” in Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering , 2010, pp. 73–80
2010
Cited alongside, same era.
H. Huang, T.-N. Fu, and C.-F. Li, “Painterly rendering with content-dependent natural paint strokes,” The Visual Computer , vol. 27, no. 9, pp. 861–871, 2011
2011
Cited alongside, same era.
X. Ning, H. Laga, S. Saito, and M. Nakajima, “Contour-driven sumi-e rendering of real photos,” Computers & Graphics , vol. 35, no. 1, pp. 122–134, 2011
2011
Cited alongside, same era.
A. Melnik, F. Schüler, C. A. Rothkopf, and P. König, “The world as an external memory: the price of saccades in a sensorimotor task,” Frontiers in behavioral neuroscience , vol. 12, p. 253, 2018
2018
Later among the works it cites.
M. Kumar, B. Poornima, H. Nagendraswamy, and C. Manjunath, “A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization,” Iran Journal of Computer Science , vol. 2, no. 3, pp. 131–165, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
Z. Huang, W. Heng, and S. Zhou, “Learning to paint with model-based deep reinforcement learning,” in Proceedings of the IEEE International Conference on Computer Vision (ICCV) , 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
Y. Jing, Y. Yang, Z. Feng, J. Ye, Y. Yu, and M. Song, “Neural style transfer: A review,” IEEE transactions on visualization and computer graphics , vol. 26, no. 11, pp. 3365–3385, 2019
2019
Later among the works it cites.
J. Berg, N. G. A. Berggren, S. A. Borgeteien, C. R. A. Jahren, A. Sajid, and S. Nichele, “Evolved art with transparent, overlapping, and geometric shapes,” in Symposium of the Norwegian AI Society . Springer, 2019, pp. 3–15
2019
Later among the works it cites.
M. Paauw and D. v. d. Berg, “Paintings, polygons and plant propagation,” in International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) . Springer, 2019, pp. 84–97
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
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
Later among the works it cites.
D. van den Berg, “Simplified paintings-from-polygons is np-hard,” Evo* LBA’s , pp. 15–18, 2020
2020
Later among the works it cites.
N. Bach, A. Melnik, M. Schilling, T. Korthals, and H. Ritter, “Learn to move through a combination of policy gradient algorithms: Ddpg, d4pg, and td3,” in International Conference on Machine Learning, Optimization, and Data Science . Springer, 2020, pp. 631–644
2020
Later among the works it cites.
L. Xu and Y. Zhang, “Demystify painting with RL,” 2020. [Online]. Available: https://openreview.net/forum?id=-KMuRD6iD04
2020
Later among the works it cites.
T. Karras, M. Aittala, S. Laine, E. Härkönen, J. Hellsten, J. Lehtinen, and T. Aila, “Alias-free generative adversarial networks,” Advances in Neural Information Processing Systems , vol. 34, pp. 852–863, 2021
2021
Later among the works it cites.
2021
Later among the works it cites.
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
Later among the works it cites.
D. Kotovenko, M. Wright, A. Heimbrecht, and B. Ommer, “Rethinking style transfer: From pixels to parameterized brushstrokes,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 12 196–12 205
2021
Later among the works it cites.
2021
Later among the works it cites.
P. Dhariwal and A. Nichol, “Diffusion models beat gans on image synthesis,” Advances in Neural Information Processing Systems , vol. 34, pp. 8780–8794, 2021
2021
Later among the works it cites.
D. Mihai and J. Hare, “Differentiable drawing and sketching,” arXiv preprint arXiv:2103.16194 , 2021
2021
Later among the works it cites.
S. Liu, T. Lin, D. He, F. Li, R. Deng, X. Li, E. Ding, and H. Wang, “Paint transformer: Feed forward neural painting with stroke prediction,” in Proceedings of the IEEE/CVF international conference on computer vision , 2021, pp. 6598–6607
2021
Later among the works it cites.
F. Wang, B. Liu, and W. Liu, “From objects to a whole painting,” in 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) . IEEE, 2021, pp. 2177–2182
2021
Later among the works it cites.
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark et al. , “Learning transferable visual models from natural language supervision,” in International Conference on Machine Learning . PMLR, 2021, pp. 8748–8763
2021
Later among the works it cites.
C. Jia, Y. Yang, Y. Xia, Y.-T. Chen, Z. Parekh, H. Pham, Q. Le, Y.-H. Sung, Z. Li, and T. Duerig, “Scaling up visual and vision-language representation learning with noisy text supervision,” in International Conference on Machine Learning . PMLR, 2021, pp. 4904–4916
2021
Later among the works it cites.
T. Lee, B. Kim, S. Seo, and K. Yoon, “Stroke based painterly rendering with mass data through auto warping generation,” CMES-Computer Modeling in Engineering and Sciences , vol. 130, pp. 1441–1457, 2021
2021
Later among the works it cites.
F. Uhde, “Incremental evolution of stylized images,” in International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) . Springer, 2021, pp. 281–296
2021
Later among the works it cites.
J. Singh and L. Zheng, “Combining semantic guidance and deep reinforcement learning for generating human level paintings,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 16 387–16 396
2021
Later among the works it cites.
2021
Later among the works it cites.
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.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
2022
Closest in time.
P. Xu, T. M. Hospedales, Q. Yin, Y.-Z. Song, T. Xiang, and L. Wang, “Deep learning for free-hand sketch: A survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence , 2022
2022
Closest in time.
F. Nolte, A. Melnik, and R. Helge, “Stroke-based rendering through stroke-similarity,” arXiv preprint , 2022
2022
Closest in time.
2022
Closest in time.
Y. Tian and D. Ha, “Modern evolution strategies for creativity: Fitting concrete images and abstract concepts,” in International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) . Springer, 2022, pp. 275–291
2022
Closest in time.
2022
Closest in time.