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We address the task of indoor scene generation by generating a sequence of objects, along with their locations and orientations conditioned on a room layout.
Interactive furniture layout using interior design guidelines
Paul Merrell, Eric Schkufza, Zeyang Li, Maneesh Agrawala, and Vladlen Koltun · 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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Interactive learning of spatial knowledge for text to 3d scene generation
Angel Chang, Manolis Savva, and Christopher D Manning · 2014
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Learning spatial knowledge for text to 3d scene generation
Angel Chang, Manolis Savva, and Christopher D Manning · 2014
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Semantic parsing for text to 3d scene generation
Angel Chang, Manolis Savva, and Christopher D Manning · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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Text to 3D scene generation with rich lexical grounding
Angel Chang, Will Monroe, Manolis Savva, Christopher Potts, and Christopher D. Manning · 2015
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Learning 3d scene synthesis from annotated rgb-d images
Z Sadeghipour Kermani, Zicheng Liao, Ping Tan, and H Zhang · 2016
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Sceneseer: 3d scene design with natural language
Angel X Chang, Mihail Eric, Manolis Savva, and Christopher D Manning · 2017
Earlier work this paper cites.
Automatic generation of constrained furniture layouts
Paul Henderson, Kartic Subr, and Vittorio Ferrari · 2017
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
Cited alongside, same era.
Automatic data-driven room design generation
Yuan Liang, Song-Hai Zhang, and Ralph Robert Martin · 2017
Cited alongside, same era.
Scenesuggest: Context-driven 3d scene design
Manolis Savva, Angel X Chang, and Maneesh Agrawala · 2017
Cited alongside, same era.
Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
Cited alongside, same era.
Attention is all you need
Ctrl: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R Varshney, Caiming Xiong, and Richard Socher · 2019
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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
Later among the works it cites.
Learning to generate new indoor scenes
Pulak Purkait, Christopher Zach, and Ian Reid · 2019
Later among the works it cites.
Fast and flexible indoor scene synthesis via deep convolutional generative models
Daniel Ritchie, Kai Wang, and Yu-an Lin · 2019
Later among the works it cites.
Text2scene: Generating compositional scenes from textual descriptions
Fuwen Tan, Song Feng, and Vicente Ordonez · 2019
Later among the works it cites.
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
Cited alongside, same era.
Deep convolutional priors for indoor scene synthesis
Kai Wang, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2018
Cited alongside, same era.
Generating long sequences with sparse transformers
Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
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
Later among the works it cites.
Scenegraphnet: Neural message passing for 3d indoor scene augmentation
Yang Zhou, Zachary While, and Evangelos Kalogerakis · 2019
Later among the works it cites.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Closest in time.
Intelligent home 3d: Automatic 3d-house design from linguistic descriptions only
Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, and Mingkui Tan · 2020
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End-to-end optimization of scene layout
Andrew Luo, Zhoutong Zhang, Jiajun Wu, and Joshua B Tenenbaum · 2020
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Polygen: An autoregressive generative model of 3d meshes
Charlie Nash, Yaroslav Ganin, SM Eslami, and Peter W Battaglia · 2020
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Deep generative modeling for scene synthesis via hybrid representations
Zaiwei Zhang, Zhenpei Yang, Chongyang Ma, Linjie Luo, Alexander Huth, Etienne Vouga, and Qixing Huang · 2020
Closest in time.