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Recently there is an increasing interest in scene generation within the research community.
Learning hierarchical models of scenes, objects, and parts
Erik B Sudderth, Antonio Torralba, William T Freeman, and Alan S Willsky · 2005
Earlier work this paper cites.
Exploiting hierarchical context on a large database of object categories
Myung Jin Choi, Joseph J Lim, Antonio Torralba, and Alan S Willsky · 2010
Earlier work this paper cites.
Learning Spatial Knowledge for Text to 3D Scene Generation
Angel X Chang, Manolis Savva, and Christopher D Manning · 2014
Earlier work this paper cites.
Generative Adversarial Nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Auto-Encoding Variational Bayes
Diederik P. Kingma and Max Welling · 2014
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Text to 3D Scene Generation with Rich Lexical Grounding
Angel Chang, Will Monroe, Manolis Savva, Christopher Potts, and Christopher D. Manning · 2015
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Learning Structured Output Representation using Deep Conditional Generative Models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
Earlier work this paper cites.
Learning What and Where to Draw
Scott Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, and Honglak Lee · 2016
Earlier work this paper cites.
Generative Adversarial Text-to-Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
Earlier work this paper cites.
Photographic Image Synthesis With Cascaded Refinement Networks
Qifeng Chen and Vladlen Koltun · 2017
Cited alongside, same era.
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris Metaxas · 2017
Cited alongside, same era.
Semi-supervised FusedGAN for Conditional Image Generation
Navaneeth Bodla, Gang Hua, and Rama Chellappa · 2018
Cited alongside, same era.
Probabilistic Neural Programmed Networks for Scene Generation
Zhiwei Deng, Jiacheng Chen, Yifang Fu, and Greg Mori · 2018
Cited alongside, same era.
Imagine This! Scripts to Compositions to Videos
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, and Aniruddha Kembhavi · 2018
Cited alongside, same era.
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes
GRAINS: Generative Recursive Autoencoders for Indoor Scenes
Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, and Hao Zhang · 2018
Later among the works it cites.
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, and Simon Lucey · 2018
Later among the works it cites.
Human-centric Indoor Scene Synthesis Using Stochastic Grammar
Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, and Song-Chun Zhu · 2018
Later among the works it cites.
Deep convolutional priors for indoor scene synthesis
Kai Wang, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2018
Later among the works it cites.
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
Later among the works it cites.
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Yang He, Bernt Schiele, and Mario Fritz · 2018
Cited alongside, same era.
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong, Dingdong Yang, Jongwook Choi, and Honglak Lee · 2018
Cited alongside, same era.
Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, and Li Fei-Fei · 2018
Cited alongside, same era.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Cited alongside, same era.
Context-Aware Synthesis and Placement of Object Instances
Donghoon Lee, Ming-Yu Liu, Ming-Hsuan Yang, Sifei Liu, Jinwei Gu, and Jan Kautz · 2018
Cited alongside, same era.
Generating Multiple Objects at Spatially Distinct Locations
Tobias Hinz, Stefan Heinrich, and Stefan Wermter · 2019
Closest in time.
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminator
Jianan Li, Tingfa Xu, Jianming Zhang, Aaron Hertzmann, and Jimei Yang · 2019
Closest in time.
Object-driven Text-to-Image Synthesis via Adversarial Training
Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, and Jianfeng Gao · 2019
Closest in time.
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
Closest in time.
Bo Zhao, Lili Meng, Weidong Yin, and Leonid Sigal · 2019
Closest in time.