Controlling Style and Semantics in Weakly-Supervised Image Generation
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[1] Yuichi Yoshida,et al. Spectral Normalization for Generative Adversarial Networks , 2018, ICLR.
[2] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[3] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[4] Yu Cheng,et al. Sequential Attention GAN for Interactive Image Editing via Dialogue , 2018, ArXiv.
[5] Honglak Lee,et al. Attribute2Image: Conditional Image Generation from Visual Attributes , 2015, ECCV.
[6] Vladlen Koltun,et al. Photographic Image Synthesis with Cascaded Refinement Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[7] Han Zhang,et al. Self-Attention Generative Adversarial Networks , 2018, ICML.
[8] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[10] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[11] Thomas Hofmann,et al. Semantic Interpolation in Implicit Models , 2018, ICLR.
[12] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[13] Dimitris N. Metaxas,et al. StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[14] Shiguang Shan,et al. AttGAN: Facial Attribute Editing by Only Changing What You Want , 2017, IEEE Transactions on Image Processing.
[15] Wei Sun,et al. Image Synthesis From Reconfigurable Layout and Style , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] Yoshua Bengio,et al. ChatPainter: Improving Text to Image Generation using Dialogue , 2018, ICLR.
[17] Dhruv Batra,et al. LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation , 2016, ICLR.
[18] Nenghai Yu,et al. Semantics Disentangling for Text-To-Image Generation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Yong Jae Lee,et al. FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Xiaogang Wang,et al. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Li Fei-Fei,et al. Image Generation from Scene Graphs , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[23] Bernhard Schölkopf,et al. Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations , 2018, ICML.
[24] Trevor Darrell,et al. Learning to Segment Every Thing , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[25] Luuk J. Spreeuwers,et al. A Layer-Based Sequential Framework for Scene Generation with GANs , 2019, AAAI.
[26] Bo Zhao,et al. Image Generation From Layout , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[28] Jan Kautz,et al. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[30] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[31] Zhe Gan,et al. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[32] Jürgen Schmidhuber,et al. Highway Networks , 2015, ArXiv.
[33] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[34] Vittorio Ferrari,et al. COCO-Stuff: Thing and Stuff Classes in Context , 2016, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Michael S. Bernstein,et al. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations , 2016, International Journal of Computer Vision.
[36] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Nando de Freitas,et al. Generating Interpretable Images with Controllable Structure , 2017 .
[38] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[39] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[41] Bernt Schiele,et al. Generative Adversarial Text to Image Synthesis , 2016, ICML.
[42] Yoshua Bengio,et al. Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[43] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Vladlen Koltun,et al. Semi-Parametric Image Synthesis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[45] Taesung Park,et al. Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Seunghoon Hong,et al. Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[47] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Takeru Miyato,et al. cGANs with Projection Discriminator , 2018, ICLR.
[49] Ross B. Girshick,et al. LVIS: A Dataset for Large Vocabulary Instance Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Vineeth N. Balasubramanian,et al. C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis , 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
[51] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[52] Xinlei Chen,et al. Microsoft COCO Captions: Data Collection and Evaluation Server , 2015, ArXiv.
[53] Stefan Wermter,et al. Generating Multiple Objects at Spatially Distinct Locations , 2019, ICLR.