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1606.03498
Cited By
Improved Techniques for Training GANs
10 June 2016
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
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Papers citing
"Improved Techniques for Training GANs"
50 / 4,102 papers shown
Title
Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification
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Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching
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Xiangrui Zeng
Xiaodan Liang
Zhiguang Huo
Eric Xing
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Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model
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Chien-Hung Chen
Keng-Hao Liu
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Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
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0
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SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting
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Chao Yang
Yeji Shen
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Qin Huang
C.-C. Jay Kuo
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0
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MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
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Seungjoo Yoo
Hyojin Bahng
Jaegul Choo
Noseong Park
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47
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0
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Multi-Scale Face Restoration with Sequential Gating Ensemble Network
Jianxin Lin
Tiankuang Zhou
Zhibo Chen
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Fast-converging Conditional Generative Adversarial Networks for Image Synthesis
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Zehao Wang
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80
29
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Transferring GANs: generating images from limited data
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Chenshen Wu
Luis Herranz
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SaaS: Speed as a Supervisor for Semi-supervised Learning
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Youssef Mroueh
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Tom Sercu
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Dilated Temporal Relational Adversarial Network for Generic Video Summarization
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Michael C. Kampffmeyer
Xiaodan Liang
Dingwen Zhang
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Towards Deeper Generative Architectures for GANs using Dense connections
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Open Set Domain Adaptation by Backpropagation
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Tatsuya Harada
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Deep learning approach to Fourier ptychographic microscopy
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Yujia Xue
Yunzhe Li
Lei Tian
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Munawar Hayat
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DOOM Level Generation using Generative Adversarial Networks
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Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only
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Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks
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Synthesizing Images of Humans in Unseen Poses
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315
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Image Inpainting for Irregular Holes Using Partial Convolutions
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Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation
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Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
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Ming-Yu Liu
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Multimodal Unsupervised Image-to-Image Translation
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Jan Kautz
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A Variational U-Net for Conditional Appearance and Shape Generation
Patrick Esser
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MGGAN: Solving Mode Collapse using Manifold Guided Training
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Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization
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Adversarial Time-to-Event Modeling
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Language Modeling with Generative Adversarial Networks
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Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning
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DeSIGN: Design Inspiration from Generative Networks
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Learning to Anonymize Faces for Privacy Preserving Action Detection
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