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Volumn 2017-January, Issue , 2017, Pages 3730-3738

Controlling perceptual factors in neural style transfer

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

EID: 85035227078     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.397     Document Type: Conference Paper
Times cited : (448)

References (27)
  • 3
  • 4
    • 0033285309 scopus 로고    scopus 로고
    • Texture synthesis by nonparametric sampling
    • A. A. Efros and T. K. Leung. Texture synthesis by nonparametric sampling. In Proc. ICCV, 1999.
    • (1999) Proc. ICCV
    • Efros, A.A.1    Leung, T.K.2
  • 8
    • 84986325538 scopus 로고    scopus 로고
    • Image style transfer using convolutional neural networks
    • L. A. Gatys, A. S. Ecker, and M. Bethge. Image Style Transfer Using Convolutional Neural Networks. In Proc. CVPR, 2016.
    • (2016) Proc. CVPR
    • Gatys, L.A.1    Ecker, A.S.2    Bethge, M.3
  • 13
    • 84990854047 scopus 로고    scopus 로고
    • Perceptual losses for real-time style transfer and super-resolution
    • B. Leibe, J. Matas, N. Sebe, and M. Welling, editors, Springer International Publishing, Oct.
    • J. Johnson, A. Alahi, and L. Fei-Fei. Perceptual Losses for Real-Time Style Transfer and Super-Resolution. In B. Leibe, J. Matas, N. Sebe, and M. Welling, editors, Computer Vision-ECCV 2016, number 9906 in Lecture Notes in Computer Science, pages 694-711. Springer International Publishing, Oct. 2016. DOI: 10.1007/978-3-319-46475-643.
    • (2016) Computer Vision-ECCV 2016, Number 9906 in Lecture Notes in Computer Science , pp. 694-711
    • Johnson, J.1    Alahi, A.2    Fei-Fei, L.3
  • 16
    • 84986290423 scopus 로고    scopus 로고
    • Combining markov random fields and convolutional neural networks for image synthesis
    • C. Li and M. Wand. Combining markov random fields and convolutional neural networks for image synthesis. In Proc. CVPR, 2016.
    • (2016) Proc. CVPR
    • Li, C.1    Wand, M.2
  • 17
    • 85018887662 scopus 로고    scopus 로고
    • Precomputed real-time texture synthesis with markovian generative adversarial networks
    • C. Li and M. Wand. Precomputed real-time texture synthesis with markovian generative adversarial networks. In Proc. ECCV, 2016.
    • (2016) Proc. ECCV
    • Li, C.1    Wand, M.2
  • 18
    • 84855954990 scopus 로고    scopus 로고
    • Anipaint: Interactive painterly animation from video
    • P. O'Donovan and A. Hertzmann. Anipaint: Interactive painterly animation from video. IEEE TVCG, 18(3), 2012.
    • (2012) IEEE TVCG , vol.18 , Issue.3
    • O'Donovan, P.1    Hertzmann, A.2
  • 19
    • 0034291204 scopus 로고    scopus 로고
    • A parametric texture model based on joint statistics of complex wavelet coefficients
    • Oct.
    • J. Portilla and E. P. Simoncelli. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients. International Journal of Computer Vision, 40(1):49-70, Oct. 2000.
    • (2000) International Journal of Computer Vision , vol.40 , Issue.1 , pp. 49-70
    • Portilla, J.1    Simoncelli, E.P.2
  • 20
    • 84980034761 scopus 로고    scopus 로고
    • Constrained texture synthesis via energy minimization
    • G. Ramanarayanan and K. Bala. Constrained texture synthesis via energy minimization. IEEE TVCG, 2007.
    • (2007) IEEE TVCG
    • Ramanarayanan, G.1    Bala, K.2
  • 22
    • 85083953063 scopus 로고    scopus 로고
    • Very deep convolutional networks for large-scale image recognition
    • K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. In Proc. ICLR, 2015.
    • (2015) Proc. ICLR
    • Simonyan, K.1    Zisserman, A.2
  • 26
    • 0034448271 scopus 로고    scopus 로고
    • Fast texture synthesis using treestructured vector quantization
    • L.-Y. Wei and M. Levoy. Fast texture synthesis using treestructured vector quantization. In Proc. SIGGRAPH, 2000.
    • (2000) Proc. SIGGRAPH
    • Wei, L.-Y.1    Levoy, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.