메뉴 건너뛰기




Volumn 187, Issue , 2019, Pages

Cross-view image synthesis using geometry-guided conditional GANs

Author keywords

Cross view; GANs; Homography; Synthesis; View translation

Indexed keywords

PIXELS; SYNTHESIS (CHEMICAL);

EID: 85070368114     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2019.07.008     Document Type: Article
Times cited : (53)

References (46)
  • 2
    • 85070351309 scopus 로고    scopus 로고
    • Pros and cons of gan evaluation measures. arXiv preprint.
    • Borji, A., 2018. Pros and cons of gan evaluation measures. arXiv preprint arXiv:1802.03446.
    • (2018)
    • Borji, A.1
  • 3
    • 85070394223 scopus 로고    scopus 로고
    • Mode regularized generative adversarial networks. arXiv e-prints abs/1612.02136. URL:.
    • Che, T., Li, Y., Jacob, A.P., Bengio, Y., Li, W., 2016. Mode regularized generative adversarial networks. arXiv e-prints abs/1612.02136. URL: https://arxiv.org/abs/1612.02136.
    • (2016)
    • Che, T.1    Li, Y.2    Jacob, A.P.3    Bengio, Y.4    Li, W.5
  • 6
    • 85015901563 scopus 로고    scopus 로고
    • Learning to generate chairs, tables and cars with convolutional networks
    • URL:
    • Dosovitskiy, A., Springenberg, J.T., Tatarchenko, M., Brox, T., Learning to generate chairs, tables and cars with convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 39 (2017), 692–705 URL: http://lmb.informatik.uni-freiburg.de/Publications/2017/DTB17.
    • (2017) IEEE Trans. Pattern Anal. Mach. Intell. , vol.39 , pp. 692-705
    • Dosovitskiy, A.1    Springenberg, J.T.2    Tatarchenko, M.3    Brox, T.4
  • 8
    • 85041020882 scopus 로고    scopus 로고
    • Gans trained by a two time-scale update rule converge to a local nash equilibrium
    • Guyon I. Luxburg U.V. Bengio S. Wallach H. Fergus R. Vishwanathan S. Garnett R. Curran Associates, Inc.
    • Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S., Gans trained by a two time-scale update rule converge to a local nash equilibrium. Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R., (eds.) Advances in Neural Information Processing Systems, Vol. 30, 2017, Curran Associates, Inc., 6626–6637.
    • (2017) Advances in Neural Information Processing Systems, Vol. 30 , pp. 6626-6637
    • Heusel, M.1    Ramsauer, H.2    Unterthiner, T.3    Nessler, B.4    Hochreiter, S.5
  • 9
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton, G.E., Osindero, S., Teh, Y.W., A fast learning algorithm for deep belief nets. Neural Comput. 18 (2006), 1527–1554, 10.1162/neco.2006.18.7.1527.
    • (2006) Neural Comput. , vol.18 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.W.3
  • 11
    • 85030759098 scopus 로고    scopus 로고
    • Image-to-image translation with conditional adversarial networks
    • Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A., Image-to-image translation with conditional adversarial networks. CVPR, 2017.
    • (2017) CVPR
    • Isola, P.1    Zhu, J.Y.2    Zhou, T.3    Efros, A.A.4
  • 12
    • 85046992994 scopus 로고    scopus 로고
    • Learning to discover cross-domain relations with generative adversarial networks
    • Precup D. Teh Y.W. International Convention Centre Sydney, Australia URL:
    • Kim, T., Cha, M., Kim, H., Lee, J.K., Kim, J., Learning to discover cross-domain relations with generative adversarial networks. Precup, D., Teh, Y.W., (eds.) Proceedings of the 34th International Conference on Machine Learning, PMLR, 2017, International Convention Centre, Sydney, Australia, 1857–1865 URL: http://proceedings.mlr.press/v70/kim17a.html.
    • (2017) Proceedings of the 34th International Conference on Machine Learning, PMLR , pp. 1857-1865
    • Kim, T.1    Cha, M.2    Kim, H.3    Lee, J.K.4    Kim, J.5
  • 13
    • 85070385142 scopus 로고    scopus 로고
    • Gagan: Geometry-aware generative adverserial networks. arXiv preprint.
    • Kossaifi, J., Tran, L., Panagakis, Y., Pantic, M., 2017. Gagan: Geometry-aware generative adverserial networks. arXiv preprint arXiv:1712.00684.
    • (2017)
    • Kossaifi, J.1    Tran, L.2    Panagakis, Y.3    Pantic, M.4
  • 14
    • 85020126914 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • URL:
    • Krizhevsky, A., Sutskever, I., Hinton, G.E., Imagenet classification with deep convolutional neural networks. Commun. ACM 60 (2017), 84–90, 10.1145/3065386 URL: http://doi.acm.org/10.1145/3065386.
    • (2017) Commun. ACM , vol.60 , pp. 84-90
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 18
    • 85041920965 scopus 로고    scopus 로고
    • Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
    • Lin, G., Milan, A., Shen, C., Reid, I., Refinenet: Multi-path refinement networks for high-resolution semantic segmentation. CVPR, 2017.
    • (2017) CVPR
    • Lin, G.1    Milan, A.2    Shen, C.3    Reid, I.4
  • 19
    • 85071710362 scopus 로고    scopus 로고
    • Deep multi-scale video prediction beyond mean square error. CoRR abs/1511.05440. URL:
    • Mathieu, M., Couprie, C., LeCun, Y., 2015. Deep multi-scale video prediction beyond mean square error. CoRR abs/1511.05440. URL: http://arxiv.org/abs/1511.05440, arXiv:1511.05440.
    • (2015)
    • Mathieu, M.1    Couprie, C.2    LeCun, Y.3
  • 21
    • 85070412037 scopus 로고    scopus 로고
    • Conditional generative adversarial nets. CoRR abs/1411.1784. URL:.
    • Mirza, M., Osindero, S., 2014. Conditional generative adversarial nets. CoRR abs/1411.1784. URL: http://arxiv.org/abs/1411.1784.
    • (2014)
    • Mirza, M.1    Osindero, S.2
  • 23
    • 85032472870 scopus 로고    scopus 로고
    • Learning to map vehicles into bird's eye view
    • Battiato S. Gallo G. Schettini R. Stanco F. Springer International Publishing Cham
    • Palazzi, A., Borghi, G., Abati, D., Calderara, S., Cucchiara, R., Learning to map vehicles into bird's eye view. Battiato, S., Gallo, G., Schettini, R., Stanco, F., (eds.) Image Analysis and Processing - ICIAP 2017, 2017, Springer International Publishing, Cham, 233–243.
    • (2017) Image Analysis and Processing - ICIAP 2017 , pp. 233-243
    • Palazzi, A.1    Borghi, G.2    Abati, D.3    Calderara, S.4    Cucchiara, R.5
  • 24
    • 85071710347 scopus 로고    scopus 로고
    • Transformation-grounded image generation network for novel 3d view synthesis. CoRR abs/1703.02921. URL:.
    • Park, E., Yang, J., Yumer, E., Ceylan, D., Berg, A.C., 2017. Transformation-grounded image generation network for novel 3d view synthesis. CoRR abs/1703.02921. URL: http://arxiv.org/abs/1703.02921.
    • (2017)
    • Park, E.1    Yang, J.2    Yumer, E.3    Ceylan, D.4    Berg, A.C.5
  • 28
    • 85070351443 scopus 로고    scopus 로고
    • Bridging the domain gap for ground-to-aerial image matching. arXiv preprint.
    • Regmi, K., Shah, M., 2019. Bridging the domain gap for ground-to-aerial image matching. arXiv preprint arXiv:1904.11045.
    • (2019)
    • Regmi, K.1    Shah, M.2
  • 32
    • 0000329993 scopus 로고
    • Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1
    • MIT Press Cambridge, MA, USA (Chapter). Information Processing in Dynamical Systems: Foundations of Harmony Theory URL:
    • Smolensky, P., Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1. 1986, MIT Press, Cambridge, MA, USA, 194–281 (Chapter). Information Processing in Dynamical Systems: Foundations of Harmony Theory URL: http://dl.acm.org/citation.cfm?id=104279.104290.
    • (1986) , pp. 194-281
    • Smolensky, P.1
  • 33
    • 85047791543 scopus 로고    scopus 로고
    • Geometry Guided Adversarial Facial Expression Synthesis
    • Song, L., Lu, Z., He, R., Sun, Z., Tan, T., Geometry Guided Adversarial Facial Expression Synthesis. 2017.
    • (2017)
    • Song, L.1    Lu, Z.2    He, R.3    Sun, Z.4    Tan, T.5
  • 34
    • 84929649467 scopus 로고    scopus 로고
    • Action recognition in the presence of one egocentric and multiple static cameras
    • Springer
    • Soran, B., Farhadi, A., Shapiro, L., Action recognition in the presence of one egocentric and multiple static cameras. Asian Conference on Computer Vision, 2014, Springer, 178–193.
    • (2014) Asian Conference on Computer Vision , pp. 178-193
    • Soran, B.1    Farhadi, A.2    Shapiro, L.3
  • 36
    • 84990053692 scopus 로고    scopus 로고
    • Multi-view 3d models from single images with a convolutional network
    • Leibe B. Matas J. Sebe N. Welling M. Springer International Publishing Cham
    • Tatarchenko, M., Dosovitskiy, A., Brox, T., Multi-view 3d models from single images with a convolutional network. Leibe, B., Matas, J., Sebe, N., Welling, M., (eds.) Computer Vision – ECCV 2016, 2016, Springer International Publishing, Cham, 322–337.
    • (2016) Computer Vision – ECCV 2016 , pp. 322-337
    • Tatarchenko, M.1    Dosovitskiy, A.2    Brox, T.3
  • 37
    • 85083950260 scopus 로고    scopus 로고
    • van den Oord, A., Bethge, M. A note on the evaluation of generative models, in: International Conference on Learning Representations URL:.
    • Theis, L., van den Oord, A., Bethge, M., 2016. A note on the evaluation of generative models, in: International Conference on Learning Representations URL: http://arxiv.org/abs/1511.01844.
    • (2016)
    • Theis, L.1
  • 38
    • 84990046042 scopus 로고    scopus 로고
    • Localizing and Orienting Street Views Using Overhead Imagery, Vol. 49
    • Springer International Publishing Cham
    • Vo, N.N., Hays, J., Localizing and Orienting Street Views Using Overhead Imagery, Vol. 49. 2016, Springer International Publishing, Cham, 494–509, 10.1007/978-3-319-46448-0_30.
    • (2016) , pp. 494-509
    • Vo, N.N.1    Hays, J.2
  • 43
    • 85040306596 scopus 로고    scopus 로고
    • Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
    • Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D., Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks. ICCV, 2017.
    • (2017) ICCV
    • Zhang, H.1    Xu, T.2    Li, H.3    Zhang, S.4    Wang, X.5    Huang, X.6    Metaxas, D.7
  • 45
    • 84990032718 scopus 로고    scopus 로고
    • View synthesis by appearance flow
    • Leibe B. Matas J. Sebe N. Welling M. Springer International Publishing Cham
    • Zhou, T., Tulsiani, S., Sun, W., Malik, J., Efros, A.A., View synthesis by appearance flow. Leibe, B., Matas, J., Sebe, N., Welling, M., (eds.) Computer Vision – ECCV 2016, 2016, Springer International Publishing, Cham, 286–301.
    • (2016) Computer Vision – ECCV 2016 , pp. 286-301
    • Zhou, T.1    Tulsiani, S.2    Sun, W.3    Malik, J.4    Efros, A.A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.