Fetching the paper…
Reading the bibliography…
Recent approaches for predicting layouts from 360 panoramas produce excellent results.
Robbins H, Monro S (1951) A stochastic approximation method. The annals of mathematical statistics pp 400–407
1951
Earlier work this paper cites.
Coughlan JM, Yuille AL (1999) Manhattan world: Compass direction from a single image by bayesian inference. In: ICCV, IEEE, vol 2, pp 941–947
1999
Earlier work this paper cites.
2003
Earlier work this paper cites.
Hoiem D, Efros AA, Hebert M (2005) Geometric context from a single image. In: ICCV, IEEE, vol 1, pp 654–661
2005
Earlier work this paper cites.
Delage E, Lee H, Ng AY (2006) A dynamic bayesian network model for autonomous 3d reconstruction from a single indoor image. In: CVPR, IEEE, vol 2, pp 2418–2428
2006
Earlier work this paper cites.
Hoiem D, Efros AA, Hebert M (2007) Recovering surface layout from an image. International Journal of Computer Vision 75(1):151–172
2007
Earlier work this paper cites.
Von Gioi RG, Jakubowicz J, Morel JM, Randall G (2008) Lsd: A fast line segment detector with a false detection control. IEEE transactions on pattern analysis and machine intelligence 32(4):722–732
2008
Earlier work this paper cites.
Hedau V, Hoiem D, Forsyth D (2009) Recovering the spatial layout of cluttered rooms. In: ICCV
2009
Earlier work this paper cites.
Lee DC, Hebert M, Kanade T (2009) Geometric reasoning for single image structure recovery. In: CVPR, IEEE, pp 2136–2143
2009
Earlier work this paper cites.
Flint A, Mei C, Murray D, Reid I (2010) A dynamic programming approach to reconstructing building interiors. In: European Conference on Computer Vision, Springer, pp 394–407
2010
Earlier work this paper cites.
Hedau V, Hoiem D, Forsyth D (2010) Thinking inside the box: Using appearance models and context based on room geometry. ECCV pp 224–237
2010
Earlier work this paper cites.
Lee D, Gupta A, Hebert M, Kanade T (2010) Estimating spatial layout of rooms using volumetric reasoning about objects and surfaces. In: NIPS, pp 1288–1296
2010
Earlier work this paper cites.
Newcombe RA, Izadi S, Hilliges O, Molyneaux D, Kim D, Davison AJ, Kohli P, Shotton J, Hodges S, Fitzgibbon AW (2011) Kinectfusion: Real-time dense surface mapping and tracking. In: ISMAR, vol 11, pp 127–136
2011
Earlier work this paper cites.
Del Pero L, Bowdish J, Fried D, Kermgard B, Hartley E, Barnard K (2012) Bayesian geometric modeling of indoor scenes. In: CVPR, pp 2719–2726
2012
Earlier work this paper cites.
Schwing AG, Urtasun R (2012) Efficient exact inference for 3d indoor scene understanding. In: European Conference on Computer Vision, Springer, pp 299–313
2012
Earlier work this paper cites.
Schwing AG, Hazan T, Pollefeys M, Urtasun R (2012) Efficient structured prediction for 3d indoor scene understanding. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, pp 2815–2822
2012
Earlier work this paper cites.
Del Pero L, Bowdish J, Kermgard B, Hartley E, Barnard K (2013) Understanding bayesian rooms using composite 3d object models. In: CVPR, pp 153–160
2013
Cited alongside, same era.
Ramalingam S, Brand M (2013) Lifting 3d manhattan lines from a single image. In: Proceedings of the IEEE International Conference on Computer Vision, pp 497–504
2013
Cited alongside, same era.
Ramalingam S, Pillai JK, Jain A, Taguchi Y (2013) Manhattan junction catalogue for spatial reasoning of indoor scenes. In: CVPR, pp 3065–3072
2013
Cited alongside, same era.
Zhang J, Kan C, Schwing AG, Urtasun R (2013) Estimating the 3d layout of indoor scenes and its clutter from depth sensors. In: ICCV, pp 1273–1280
2013
Cited alongside, same era.
Zhao Y, Zhu SC (2013) Scene parsing by integrating function, geometry and appearance models. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3119–3126
Pintore G, Garro V, Ganovelli F, Gobbetti E, Agus M (2016) Omnidirectional image capture on mobile devices for fast automatic generation of 2.5 d indoor maps. In: 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, pp 1–9
2016
Later among the works it cites.
Ren Y, Li S, Chen C, Kuo CCJ (2016) A coarse-to-fine indoor layout estimation (cfile) method. In: Asian Conference on Computer Vision, Springer, pp 36–51
2016
Later among the works it cites.
Yang H, Zhang H (2016) Efficient 3d room shape recovery from a single panorama. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 5422–5430
2016
Later among the works it cites.
Armeni I, Sax A, Zamir AR, Savarese S (2017) Joint 2D-3D-Semantic Data for Indoor Scene Understanding. ArXiv e-prints 1702.01105
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2013
Cited alongside, same era.
Cabral R, Furukawa Y (2014) Piecewise planar and compact floorplan reconstruction from images. In: CVPR, pp 628–635
2014
Cited alongside, same era.
Kingma DP, Ba J (2014) Adam: A method for stochastic optimization. arXiv preprint arXiv:14126980
2014
Cited alongside, same era.
Zhang Y, Song S, Tan P, Xiao J (2014) Panocontext: A whole-room 3d context model for panoramic scene understanding. In: European conference on computer vision, Springer, pp 668–686
2014
Cited alongside, same era.
Liu C, Schwing AG, Kundu K, Urtasun R, Fidler S (2015) Rent3d: Floor-plan priors for monocular layout estimation. In: CVPR, pp 3413–3421
2015
Cited alongside, same era.
Mallya A, Lazebnik S (2015) Learning informative edge maps for indoor scene layout prediction. In: ICCV, pp 936–944
2015
Cited alongside, same era.
Monszpart A, Mellado N, Brostow GJ, Mitra NJ (2015) Rapter: rebuilding man-made scenes with regular arrangements of planes. ACM Trans Graph 34(4):103–1
2015
Cited alongside, same era.
Ronneberger O, Fischer P, Brox T (2015) U-net: Convolutional networks for biomedical image segmentation. In: International Conference on Medical image computing and computer-assisted intervention, Springer, pp 234–241
2015
Cited alongside, same era.
Chang A, Dai A, Funkhouser T, Halber M, Niessner M, Savva M, Song S, Zeng A, Zhang Y (2017) Matterport3d: Learning from rgb-d data in indoor environments. arXiv preprint arXiv:170906158
2017
Later among the works it cites.
Izadinia H, Shan Q, Seitz SM (2017) Im2cad. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 5134–5143
2017
Later among the works it cites.
Lee CY, Badrinarayanan V, Malisiewicz T, Rabinovich A (2017) Roomnet: End-to-end room layout estimation. In: Proceedings of the IEEE International Conference on Computer Vision, pp 4865–4874
2017
Later among the works it cites.
Xu J, Stenger B, Kerola T, Tung T (2017) Pano2cad: Room layout from a single panorama image. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, pp 354–362
2017
Later among the works it cites.
Zhao H, Lu M, Yao A, Guo Y, Chen Y, Zhang L (2017) Physics inspired optimization on semantic transfer features: An alternative method for room layout estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2017
Later among the works it cites.
Liu C, Wu J, Furukawa Y (2018) Floornet: A unified framework for floorplan reconstruction from 3d scans. In: Proceedings of the European Conference on Computer Vision (ECCV), pp 201–217
2018
Later among the works it cites.
Yang ST, Peng CH, Wonka P, Chu HK (2018a) Panoannotator: a semi-automatic tool for indoor panorama layout annotation. In: SIGGRAPH Asia 2018 Posters, ACM, p 34
2018
Later among the works it cites.
Sun C, Hsiao CW, Sun M, Chen HT (2019) Horizonnet: Learning room layout with 1d representation and pano stretch data augmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1047–1056
2019
Closest in time.
Yang ST, Wang FE, Peng CH, Wonka P, Sun M, Chu HK (2019) Dula-net: A dual-projection network for estimating room layouts from a single rgb panorama. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3363–3372
2019
Closest in time.
Zou C, Guo R, Li Z, Hoiem D (2019) Complete 3d scene parsing from an rgbd image. International Journal of Computer Vision 127(2):143–162
2019
Closest in time.
Zou C, Colburn A, Shan Q, Hoiem D (2018) Layoutnet: Reconstructing the 3d room layout from a single rgb image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2051–2059
2059
Closest in time.