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Semantic scene completion is the task of producing a complete 3D voxel representation of volumetric occupancy with semantic labels for a scene from a single-view observation.
Vision: a computational investigation into the human representation and processing of visual information
D. C. Marr · 1982
Earlier work this paper cites.
Simplification and repair of polygonal models using volumetric techniques
F. S. Nooruddin and G. Turk · 2003
Earlier work this paper cites.
Kinectfusion: Real-time dense surface mapping and tracking
R. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. Davison, P. Kohli, J. Shotton, S. Hodges, and A. Fitzgibbon · 2011
Earlier work this paper cites.
Indoor scene segmentation using a structured light sensor
N. Silberman and R. Fergus · 2011
Earlier work this paper cites.
Indoor segmentation and support inference from RGBD images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
Earlier work this paper cites.
Efficient 3D scene labeling using fields of trees
O. Kahler and I. Reid · 2013
Cited alongside, same era.
Indoor scene understanding with RGB-D images: Bottom-up segmentation, object detection and semantic segmentation
S. Gupta, P. Arbeláez, R. Girshick, and J. Malik · 2014
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
3D indoor scene modeling from RGB-D data: a survey
K. Chen, Y.-K. Lai, and S.-M. Hu · 2015
Cited alongside, same era.
Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D. Eigen and R. Fergus · 2015
Cited alongside, same era.
Predicting complete 3D models of indoor scenes
R. Guo, C. Zou, and D. Hoiem · 2015
Later among the works it cites.
Unsupervised joint feature learning and encoding for RGB-D scene labeling
A. Wang, J. Lu, J. Cai, G. Wang, and T.-J. Cham · 2015
Later among the works it cites.
Understanding real world indoor scenes with synthetic data
A. Handa, V. Patraucean, V. Badrinarayanan, S. Stent, and R. Cipolla · 2016
Later among the works it cites.
Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
Later among the works it cites.
Semantic scene completion from a single depth image
S. Song, F. Yu, A. Zeng, A. X. Chang, M. Savva, and T. Funkhouser · 2017
Later among the works it cites.
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