Fetching the paper…
Reading the bibliography…
Style transfer is the process of rendering one image with some content in the style of another image, representing the style.
Gooch, B., Gooch, A.: Non-photorealistic rendering. AK Peters/CRC Press (2001)
2001
Earlier work this paper cites.
Strothotte, T., Schlechtweg, S.: Non-photorealistic computer graphics: modeling, rendering, and animation. Morgan Kaufmann (2002)
2002
Earlier work this paper cites.
Rosin, P., Collomosse, J.: Image and video-based artistic stylisation, vol. 42. Springer Science & Business Media (2012)
2012
Earlier work this paper cites.
2014
Earlier work this paper cites.
Menze, M., Geiger, A.: Object scene flow for autonomous vehicles. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3061–3070 (2015)
2015
Earlier work this paper cites.
Chen, W., Fu, Z., Yang, D., Deng, J.: Single-image depth perception in the wild. In: Advances in neural information processing systems. pp. 730–738 (2016)
2016
Cited alongside, same era.
Gatys, L.A., Ecker, A.S., Bethge, M.: Image style transfer using convolutional neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2414–2423 (2016)
2016
Cited alongside, same era.
Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: European conference on computer vision. pp. 694–711. Springer (2016)
2016
Cited alongside, same era.
2016
Cited alongside, same era.
Huang, X., Belongie, S.: Arbitrary style transfer in real-time with adaptive instance normalization. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1501–1510 (2017)
2017
Later among the works it cites.
Li, Y., Fang, C., Yang, J., Wang, Z., Lu, X., Yang, M.H.: Universal style transfer via feature transforms. In: Advances in neural information processing systems. pp. 386–396 (2017)
2017
Later among the works it cites.
Liu, X.C., Cheng, M.M., Lai, Y.K., Rosin, P.L.: Depth-aware neural style transfer. In: Proceedings of the Symposium on Non-Photorealistic Animation and Rendering. p. 4. ACM (2017)
2017
Later among the works it cites.
Godard, C., Mac Aodha, O., Firman, M., Brostow, G.J.: Digging into self-supervised monocular depth prediction (October 2019)
2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
2019
Closest in time.