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We present a fast framework for indoor scene synthesis, given a room geometry and a list of objects with learnt priors.
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Peter J Diggle et al · 1983
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Computational geometry
Mark De Berg, Marc Van Kreveld, Mark Overmars, and Otfried Schwarzkopf · 1997
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Information theory and an extension of the maximum likelihood principle
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Thresholding for change detection
Paul Rosin · 1998
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Comparing the performances of diggle’s tests of spatial randomness for small samples with and without edge-effect correction: application to ecological data
Jacques Gignoux, Camille Duby, and Sébastian Barot · 1999
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Structured3d: A large photo-realistic dataset for structured 3d modeling
Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, and Zihan Zhou · 2002
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Two-frame motion estimation based on polynomial expansion
Gunnar Farnebäck · 2003
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Testing the complete spatial randomness by diggle’s test without an arbitrary upper limit
LP Ho and SN Chiu · 2006
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Ten Common Home Decorating Mistakes & How to Avoid Them
Gloria Hander Lyons · 2008
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Procedural arrangement of furniture for real-time walkthroughs
Tobias Germer and Martin Schwarz · 2009
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Interactive furniture layout using interior design guidelines
Paul Merrell, Eric Schkufza, Zeyang Li, Maneesh Agrawala, and Vladlen Koltun · 2011
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Make it home: automatic optimization of furniture arrangement
Lap-Fai Yu, Sai Kit Yeung, Chi-Keung Tang, Demetri Terzopoulos, Tony F Chan, and Stanley Osher · 2011
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Example-based synthesis of 3d object arrangements
Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas Funkhouser, and Pat Hanrahan · 2012
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Data-driven scene understanding from 3d models
Scott Satkin, Jason Lin, and Martial Hebert · 2012
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An interactive approach to semantic modeling of indoor scenes with an rgbd camera
Tianjia Shao, Weiwei Xu, Kun Zhou, Jingdong Wang, Dongping Li, and Baining Guo · 2012
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Synthesizing open worlds with constraints using locally annealed reversible jump mcmc
Yi-Ting Yeh, Lingfeng Yang, Matthew Watson, Noah D Goodman, and Pat Hanrahan · 2012
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Reshuffle-based interior scene synthesis
Hualiang Xie, Wenzhuo Xu, and Bin Wang · 2013
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Sketch2scene: sketch-based co-retrieval and co-placement of 3d models
Kun Xu, Kang Chen, Hongbo Fu, Wei-Lun Sun, and Shi-Min Hu · 2013
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A survey on position-based simulation methods in computer graphics
Jan Bender, Matthias Müller, Miguel A Otaduy, Matthias Teschner, and Miles Macklin · 2014
Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
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3dmatch: Learning local geometric descriptors from rgb-d reconstructions
Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, and Thomas Funkhouser · 2017
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Scan2cad: Learning cad model alignment in rgb-d scans
Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X Chang, and Matthias Nießner · 2018
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Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset
Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, and Stefan Leutenegger · 2018
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Df 2 net: Discriminative feature learning and fusion network for rgb-d indoor scene classification
Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, and Tieniu Tan · 2018
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Cited alongside, same era.
Learning spatial knowledge for text to 3d scene generation
Angel Chang, Manolis Savva, and Christopher D Manning · 2014
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Automatic semantic modeling of indoor scenes from low-quality rgb-d data using contextual information
Kang Chen, Yukun Lai, Yu-Xin Wu, Ralph Robert Martin, and Shi-Min Hu · 2014
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Clustering by fast search and find of density peaks
Alex Rodriguez and Alessandro Laio · 2014
Cited alongside, same era.
Text to 3d scene generation with rich lexical grounding
Angel Chang, Will Monroe, Manolis Savva, Christopher Potts, and Christopher D Manning · 2015
Cited alongside, same era.
Activity-centric scene synthesis for functional 3d scene modeling
Matthew Fisher, Manolis Savva, Yangyan Li, Pat Hanrahan, and Matthias Nießner · 2015
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Shed: shape edit distance for fine-grained shape similarity
Yanir Kleiman, Oliver van Kaick, Olga Sorkine-Hornung, and Daniel Cohen-Or · 2015
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Knowledge graph construction with structure and parameter learning for indoor scene design
Yuan Liang, Fei Xu, Song-Hai Zhang, Yu-Kun Lai, and Taijiang Mu · 2018
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Language-driven synthesis of 3d scenes from scene databases
Rui Ma, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas Guibas, and Hao Zhang · 2018
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Human-centric indoor scene synthesis using stochastic grammar
Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, and Song-Chun Zhu · 2018
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Deep convolutional priors for indoor scene synthesis
Kai Wang, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2018
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Fast and scalable position-based layout synthesis
Tomer Weiss, Alan Litteneker, Noah Duncan, Masaki Nakada, Chenfanfu Jiang, Lap-Fai Yu, and Demetri Terzopoulos · 2018
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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 · 2019
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Constraint-based clustering by fast search and find of density peaks
Ruhui Liu, Weiping Huang, Zhengshun Fei, Kai Wang, and Jun Liang · 2019
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Fast and flexible indoor scene synthesis via deep convolutional generative models
Daniel Ritchie, Kai Wang, and Yu-an Lin · 2019
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Density peak clustering algorithm based on the nearest neighbor
Bangyu Tong · 2019
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Planit: Planning and instantiating indoor scenes with relation graph and spatial prior networks
Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2019
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A survey of 3d indoor scene synthesis
Song-Hai Zhang, Shao-Kui Zhang, Yuan Liang, and Peter Hall · 2019
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