Fetching the paper…
Reading the bibliography…
Holistic 3D scene understanding entails estimation of both layout configuration and object geometry in a 3D environment.
Context-based search for 3d models
Matthew Fisher and Pat Hanrahan · 2010
Earlier work this paper cites.
Interactive furniture layout using interior design guidelines
Paul Merrell, Eric Schkufza, Zeyang Li, Maneesh Agrawala, and Vladlen Koltun · 2011
Earlier work this paper cites.
Make it home: automatic optimization of furniture arrangement
Lap Fai Yu, Sai Kit Yeung, Chi Keung Tang, Demetri Terzopoulos, Tony F Chan, and Stanley J Osher · 2011
Earlier work this paper cites.
Example-based synthesis of 3d object arrangements
Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas Funkhouser, and Pat Hanrahan · 2012
Earlier work this paper cites.
Learning object arrangements in 3d scenes using human context
Yun Jiang, Marcus Lim, and Ashutosh Saxena · 2012
Earlier work this paper cites.
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
Earlier work this paper cites.
Reshuffle-based interior scene synthesis
Hualiang Xie, Wenzhuo Xu, and Bin Wang · 2013
Earlier work this paper cites.
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
Earlier work this paper cites.
Learning spatial knowledge for text to 3d scene generation
Angel Chang, Manolis Savva, and Christopher D Manning · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Activity-centric scene synthesis for functional 3d scene modeling
Matthew Fisher, Manolis Savva, Yangyan Li, Pat Hanrahan, and Matthias Nießner · 2015
Earlier work this paper cites.
Action-driven 3d indoor scene evolution
Rui Ma, Honghua Li, Changqing Zou, Zicheng Liao, Xin Tong, and Hao Zhang · 2016
Earlier work this paper cites.
End-to-end people detection in crowded scenes
Russell Stewart, Mykhaylo Andriluka, and Andrew Y Ng · 2016
Earlier work this paper cites.
Sceneseer: 3d scene design with natural language
Angel X Chang, Mihail Eric, Manolis Savva, and Christopher D Manning · 2017
Earlier work this paper cites.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Earlier work this paper cites.
Adaptive synthesis of indoor scenes via activity-associated object relation graphs
Qiang Fu, Xiaowu Chen, Xiaotian Wang, Sijia Wen, Bin Zhou, and Hongbo Fu · 2017
Earlier work this paper cites.
Scenesuggest: Context-driven 3d scene design
Manolis Savva, Angel X Chang, and Maneesh Agrawala · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
Earlier work this paper cites.
Holistic 3d scene parsing and reconstruction from a single rgb image
Siyuan Huang, Siyuan Qi, Yixin Zhu, Yinxue Xiao, Yuanlu Xu, and Song-Chun Zhu · 2018
Earlier work this paper cites.
3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
Abhijit Kundu, Yin Li, and James M Rehg · 2018
Earlier work this paper cites.
Human-centric indoor scene synthesis using stochastic grammar
Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, and Song-Chun Zhu · 2018
Cited alongside, same era.
Pix3d: Dataset and methods for single-image 3d shape modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B Tenenbaum, and William T Freeman · 2018
Cited alongside, same era.
Factoring shape, pose, and layout from the 2d image of a 3d scene
Shubham Tulsiani, Saurabh Gupta, David F Fouhey, Alexei A Efros, and Jitendra Malik · 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.
Modeling the correlations of relations for knowledge graph embedding
Ji-Zhao Zhu, Yan-Tao Jia, Jun Xu, Jian-Zhong Qiao, and Xue-Qi Cheng · 2018
Cited alongside, same era.
Accelerating 3d deep learning with pytorch3d
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 2020
Later among the works it cites.
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
Later among the works it cites.
Panoptic 3d scene reconstruction from a single rgb image
Manuel Dahnert, Ji Hou, Matthias Nießner, and Angela Dai · 2021
Later among the works it cites.
3d-front: 3d furnished rooms with layouts and semantics
Huan Fu, Bowen Cai, Lin Gao, Ling-Xiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, et al · 2021
Later among the works it cites.
Patch2cad: Patchwise embedding learning for in-the-wild shape retrieval from a single image
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, and Angela Dai · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Scan2cad: Learning cad model alignment in rgb-d scans
Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X Chang, and Matthias Nießner · 2019
Cited alongside, same era.
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, and Harinandan Katam · 2019
Cited alongside, same era.
Mesh r-cnn
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Fast and flexible indoor scene synthesis via deep convolutional generative models
Daniel Ritchie, Kai Wang, and Yu-an Lin · 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
Cited alongside, same era.
A survey of 3d indoor scene synthesis
Song-Hai Zhang, Shao-Kui Zhang, Yuan Liang, and Peter Hall · 2019
Cited alongside, same era.
Rfd-net: Point scene understanding by semantic instance reconstruction
Yinyu Nie, Ji Hou, Xiaoguang Han, and Matthias Niessner · 2021
Later among the works it cites.
Atiss: Autoregressive transformers for indoor scene synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, and Sanja Fidler · 2021
Later among the works it cites.
Atiss: Autoregressive transformers for indoor scene synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, and Sanja Fidler · 2021
Later among the works it cites.
Sceneformer: Indoor scene generation with transformers
Xinpeng Wang, Chandan Yeshwanth, and Matthias Nießner · 2021
Later among the works it cites.
Scene synthesis via uncertainty-driven attribute synchronization
Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, and Qixing Huang · 2021
Later among the works it cites.
Indoor scene generation from a collection of semantic-segmented depth images
Ming-Jia Yang, Yu-Xiao Guo, Bin Zhou, and Xin Tong · 2021
Later among the works it cites.
Holistic 3d scene understanding from a single image with implicit representation
Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, and Shuaicheng Liu · 2021
Later among the works it cites.
https://fast-transformers.github.io/
Fast transformers · 2022
Closest in time.
https://pytorch.org/tutorials/beginner/nlp/sequence_models_tutorial.html
Sequence models and long short-term memory networks · 2022
Closest in time.
Adversarial parametric pose prior
Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, and Pascal Fua · 2022
Closest in time.
Learning 3d object shape and layout without 3d supervision
Georgia Gkioxari, Nikhila Ravi, and Justin Johnson · 2022
Closest in time.
Roca: Robust cad model retrieval and alignment from a single image
Can Gümeli, Angela Dai, and Matthias Nießner · 2022
Closest in time.
Atek: Augmenting transformers with expert knowledge for indoor layout synthesis
Kurt Leimer, Paul Guerrero, Tomer Weiss, and Przemyslaw Musialski · 2022
Closest in time.
Towards high-fidelity single-view holistic reconstruction of indoor scenes
Haolin Liu, Yujian Zheng, Guanying Chen, Shuguang Cui, and Xiaoguang Han · 2022
Closest in time.
Pose2room: Understanding 3d scenes from human activities
Yinyu Nie, Angela Dai, Xiaoguang Han, and Matthias Nießner · 2022
Closest in time.