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Volumn , Issue , 2018, Pages

Memorization precedes generation: Learning unsupervised GaNs with memory networks

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER DISTRIBUTIONS; DISCONTINUITY PROBLEMS; MULTIPLE DATA SETS; REALISTIC IMAGES; STATE OF THE ART; STRUCTURAL DISCONTINUITY; TRAINING SAMPLE; VISUAL FIDELITY;

EID: 85083951064     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (52)

References (56)
  • 2
    • 85071196908 scopus 로고    scopus 로고
    • Associative adversarial networks
    • Tarik Arici and Asli Celikyilmaz. Associative Adversarial Networks. NIPS, 2016.
    • (2016) NIPS
    • Arici, T.1    Celikyilmaz, A.2
  • 3
    • 85081997770 scopus 로고    scopus 로고
    • Towards principled methods for training generative adversarial networks
    • Martin Arjovsky and Lon Bottou. Towards Principled Methods for Training Generative Adversarial Networks. ICLR, 2017.
    • (2017) ICLR
    • Arjovsky, M.1    Bottou, L.2
  • 5
    • 84911409986 scopus 로고    scopus 로고
    • Seeing 3D chairs: Exemplar part-based 2d-3D alignment using a large dataset of CAD models
    • Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, and Josef Sivic. Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models. CVPR, 2014.
    • (2014) CVPR
    • Aubry, M.1    Maturana, D.2    Efros, A.A.3    Russell, B.C.4    Sivic, J.5
  • 9
    • 85076734701 scopus 로고    scopus 로고
    • Mode regularized generative adversarial networks
    • Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, and Wenjie Li. Mode Regularized Generative Adversarial Networks. ICLR, 2017.
    • (2017) ICLR
    • Che, T.1    Li, Y.2    Jacob, A.P.3    Bengio, Y.4    Li, W.5
  • 10
    • 85019228440 scopus 로고    scopus 로고
    • Infogan: Interpretable representation learning by information maximizing generative adversarial nets
    • Xi Chen, Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets. NIPS, 2016.
    • (2016) NIPS
    • Chen, X.1    Chen, X.2    Duan, Y.3    Houthooft, R.4    Schulman, J.5    Sutskever, I.6    Abbeel, P.7
  • 11
    • 85069005177 scopus 로고    scopus 로고
    • Calibrating Energy-based Generative Adversarial Networks
    • Zihang Dai, Amjad Almahairi, Philip Bachman, Eduard Hovy, and Aaron Courville. Calibrating Energy-based Generative Adversarial Networks. ICLR, 2017.
    • (2017) ICLR
    • Dai, Z.1    Almahairi, A.2    Bachman, P.3    Hovy, E.4    Courville, A.5
  • 19
    • 85030759098 scopus 로고    scopus 로고
    • Image-to-image translation with conditional adversarial networks
    • Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros. 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
  • 27
    • 84998814322 scopus 로고    scopus 로고
    • Learning to generate with memory
    • Chongxuan Li, Jun Zhu, and Bo Zhang. Learning to Generate with Memory. ICML, 2016.
    • (2016) ICML
    • Li, C.1    Zhu, J.2    Zhang, B.3
  • 28
    • 84970016114 scopus 로고    scopus 로고
    • Generative moment matching networks
    • Yujia Li, Kevin Swersky, and Richard Zemel. Generative Moment Matching Networks. ICML, 2015.
    • (2015) ICML
    • Li, Y.1    Swersky, K.2    Zemel, R.3
  • 29
    • 84973917446 scopus 로고    scopus 로고
    • Deep learning face attributes in the wild
    • Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang. Deep Learning Face Attributes in the Wild. ICCV, 2015.
    • (2015) ICCV
    • Liu, Z.1    Luo, P.2    Wang, X.3    Tang, X.4
  • 35
    • 85018914753 scopus 로고    scopus 로고
    • F-GaN: Training Generative Neural Samplers using Variational Divergence Minimization
    • Sebastian Nowozin, Botond Cseke, and Ryota Tomioka. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization. NIPS, 2016.
    • (2016) NIPS
    • Nowozin, S.1    Cseke, B.2    Tomioka, R.3
  • 36
    • 85041893734 scopus 로고    scopus 로고
    • Conditional image synthesis with auxiliary classifier GANs
    • Augustus Odena, Christopher Olah, and Jonathon Shlens. Conditional Image Synthesis with Auxiliary Classifier GANs. ICML, 2017.
    • (2017) ICML
    • Odena, A.1    Olah, C.2    Shlens, J.3
  • 38
    • 85083950271 scopus 로고    scopus 로고
    • Unsupervised representation learning with deep convolutional generative adversarial networks
    • Alec Radford, Luke Metz, and Soumith Chintala. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. ICLR, 2016.
    • (2016) ICLR
    • Radford, A.1    Metz, L.2    Chintala, S.3
  • 40
    • 84986250442 scopus 로고    scopus 로고
    • Learning Deep Representations of Fine-grained Visual Descriptions
    • Scott E. Reed, Zeynep Akata, Bernt Schiele, and Honglak Lee. Learning Deep Representations of Fine-grained Visual Descriptions. CVPR, 2016a.
    • (2016) CVPR
    • Reed, S.E.1    Akata, Z.2    Schiele, B.3    Lee, H.4
  • 44
    • 85041912723 scopus 로고    scopus 로고
    • Learning from simulated and unsupervised images through adversarial training
    • Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, and Russell Webb. Learning From Simulated and Unsupervised Images Through Adversarial Training. CVPR, 2017.
    • (2017) CVPR
    • Shrivastava, A.1    Pfister, T.2    Tuzel, O.3    Susskind, J.4    Wang, W.5    Webb, R.6
  • 46
  • 47
    • 85088231360 scopus 로고    scopus 로고
    • Unsupervised cross-domain image generation
    • Yaniv Taigman, Adam Polyak, and Lior Wolf. Unsupervised Cross-Domain Image Generation. ICLR, 2017.
    • (2017) ICLR
    • Taigman, Y.1    Polyak, A.2    Wolf, L.3
  • 48
    • 85048385339 scopus 로고    scopus 로고
    • Improving Generative Adversarial Networks with De-noising Feature Matching
    • David Warde-Farley and Yoshua Bengio. Improving Generative Adversarial Networks With De-noising Feature Matching. ICLR, 2017.
    • (2017) ICLR
    • Warde-Farley, D.1    Bengio, Y.2
  • 52
    • 85018933379 scopus 로고    scopus 로고
    • Attribute2Image: Conditional image generation from visual attributes
    • Xinchen Yan, Jimei Yang, Kihyuk Sohn, and Honglak Lee. Attribute2Image: Conditional Image Generation from Visual Attributes. ECCV, 2016.
    • (2016) ECCV
    • Yan, X.1    Yang, J.2    Sohn, K.3    Lee, H.4
  • 55
    • 84990021580 scopus 로고    scopus 로고
    • Colorful image colorization
    • Richard Zhang, Phillip Isola, and Alexei A. Efros. Colorful Image Colorization. ECCV, 2016b.
    • (2016) ECCV
    • Zhang, R.1    Isola, P.2    Efros, A.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.