23.3.6.3.1 Room Layout

Chapter Contents (Back)
Indoor Models. Layout. Room Layout.
See also Building Interiors, Walls, Indoor Models.
See also Floorplans, Floor Plans, Building Interiors.

Park, S.J.[Seong-Jin], Hong, K.S.[Ki-Sang],
Recovering an indoor 3D layout with top-down semantic segmentation from a single image,
PRL(68, Part 1), No. 1, 2015, pp. 70-75.
Elsevier DOI 1512
3D Layout estimation BibRef

Hayat, M.[Munawar], Khan, S.H.[Salman H.], Bennamoun, M.[Mohammed], An, S.,
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification,
IP(25), No. 10, October 2016, pp. 4829-4841.
IEEE DOI 1610
convolution BibRef

Kim, C.[Chelhwon], Manduchi, R.[Roberto],
Indoor Manhattan spatial layout recovery from monocular videos via line matching,
CVIU(157), No. 1, 2017, pp. 223-239.
Elsevier DOI 1704
3D reconstruction BibRef

Weng, C.Q.[Chao-Qun], Wang, H.X.[Hong-Xing], Yuan, J.S.[Jun-Song], Jiang, X.D.[Xu-Dong],
Discovering Class-Specific Spatial Layouts for Scene Recognition,
SPLetters(24), No. 8, August 2017, pp. 1143-1147.
IEEE DOI 1708
image classification, learning (artificial intelligence), L1-regularized max-margin formulation, class-specific spatial layout discovery, discriminative spatial layouts, image classifier, scene image, scene recognition, Buildings, Feature extraction, Image recognition, Layout, Support vector machines, Training, Visualization, Discovering class-specific spatial layouts, scene, recognition BibRef

Zhang, W., Zhang, W., Liu, K., Gu, J.,
Learning to Predict High-Quality Edge Maps for Room Layout Estimation,
MultMed(19), No. 5, May 2017, pp. 935-943.
IEEE DOI 1704
Deconvolution BibRef

Ren, Z.[Zhile], Sudderth, E.B.[Erik B.],
Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts,
PAMI(42), No. 10, October 2020, pp. 2670-2683.
IEEE DOI 2009
Layout, Solid modeling, Feature extraction, Detectors, Object detection, cascaded classification BibRef

Yan, C.G.[Cheng-Gang], Shao, B.Y.[Bi-Yao], Zhao, H.[Hao], Ning, R.X.[Rui-Xin], Zhang, Y.D.[Yong-Dong], Xu, F.[Feng],
3D Room Layout Estimation From a Single RGB Image,
MultMed(22), No. 11, November 2020, pp. 3014-3024.
IEEE DOI 2010
Layout, Estimation, Image edge detection, Topology, nonlinear optimization BibRef

Frías, E., Balado, J., Díaz-Vilariño, L., Lorenzo, H.,
Point Cloud Room Segmentation Based on Indoor Spaces and 3d Mathematical Morphology,
GeoInfo20(49-55).
DOI Link 2012
BibRef

Zioulis, N.[Nikolaos], Alvarez, F.[Federico], Zarpalas, D.[Dimitrios], Daras, P.[Petros],
Single-shot cuboids: Geodesics-based end-to-end Manhattan aligned layout estimation from spherical panoramas,
IVC(110), 2021, pp. 104160.
Elsevier DOI 2106
Code, Layout Extimation.
WWW Link. Panoramic scene understanding, Indoor 3D reconstruction, Layout estimation, Spherical panoramas, Omnidirectional vision BibRef

Zhang, W.D.[Wei-Dong], Zhang, Q.[Qian], Zhang, W.[Wei], Gu, J.J.[Jian-Jun], Li, Y.[Yibin],
From Edge to Keypoint: An End-to-End Framework For Indoor Layout Estimation,
MultMed(23), 2021, pp. 4483-4490.
IEEE DOI 2112
Layout, Image edge detection, Training, Estimation, Semantics, Task analysis, Generative adversarial network, scene understanding BibRef

Claridades, A.R.C.[Alexis Richard C.], Choi, H.S.[Hyun-Sang], Lee, J.Y.[Ji-Yeong],
An Indoor Space Subspacing Framework for Implementing a 3D Hierarchical Network-Based Topological Data Model,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Yao, H.[Hui], Miao, J.[Jun], Zheng, Y.[Yilin], Zhang, G.X.[Guo-Xiang], Chu, J.[Jun],
Undirected graph representing strategy for general room layout estimation,
JVCIR(97), 2023, pp. 103963.
Elsevier DOI Code:
WWW Link. 2312
Indoor layout estimation, CNN, Undirected graph, Cuboid room, Non-cuboid room BibRef

Yao, H.[Hui], Miao, J.[Jun], Zhang, G.X.[Guo-Xiang], Chu, J.[Jun],
3D layout estimation of general rooms based on ordinal semantic segmentation,
IET-CV(17), No. 8, 2023, pp. 855-868.
DOI Link Code:
WWW Link. 2312
dataset, depth estimation, plane parameters, room layout estimation, semantic segmentation BibRef

Gillsjö, D.[David], Flood, G.[Gabrielle], Åström, K.[Kalle],
Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes,
SG2RL23(1-10)
IEEE DOI 2401
BibRef


Tang, H.[Hao], Zhang, Z.Y.[Zhen-Yu], Shi, H.[Humphrey], Li, B.[Bo], Shao, L.[Ling], Sebe, N.[Nicu], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Graph Transformer GANs for Graph-Constrained House Generation,
CVPR23(2173-2182)
IEEE DOI 2309
BibRef

Wei, Q.H.A.[Qiu-Hong Anna], Ding, S.[Sijie], Park, J.J.[Jeong Joon], Sajnani, R.[Rahul], Poulenard, A.[Adrien], Sridhar, S.[Srinath], Guibas, L.J.[Leonidas J.],
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms,
CVPR23(19037-19047)
IEEE DOI 2309
BibRef

Yu, H.Z.[Hao-Zheng], He, L.[Lu], Jian, B.[Bing], Feng, W.W.[Wei-Wei], Liu, S.[Shan],
PanelNet: Understanding 360 Indoor Environment via Panel Representation,
CVPR23(878-887)
IEEE DOI 2309
BibRef

Tabata, M.[Mizuki], Kurata, K.[Kana], Tamamatsu, J.[Junichiro],
Shape-Net: Room Layout Estimation from Panoramic Images Robust to Occlusion using Knowledge Distillation with 3D Shapes as Additional Inputs,
CIVILS23(3552-3561)
IEEE DOI 2309
BibRef

Ibrahem, H.[Hatem], Salem, A.[Ahmed], Kang, H.S.[Hyun-Soo],
ST-RoomNet: Learning Room Layout Estimation From Single Image Through Unsupervised Spatial Transformations,
VOCVALC23(3376-3384)
IEEE DOI 2309
BibRef

Sarch, G.[Gabriel], Fang, Z.Y.[Zhao-Yuan], Harley, A.W.[Adam W.], Schydlo, P.[Paul], Tarr, M.J.[Michael J.], Gupta, S.[Saurabh], Fragkiadaki, K.[Katerina],
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors,
ECCV22(XXIX:480-496).
Springer DOI 2211
BibRef

Kant, Y.[Yash], Ramachandran, A.[Arun], Yenamandra, S.[Sriram], Gilitschenski, I.[Igor], Batra, D.[Dhruv], Szot, A.[Andrew], Agrawal, H.[Harsh],
Housekeep: Tidying Virtual Households Using Commonsense Reasoning,
ECCV22(XXIX:355-373).
Springer DOI 2211
BibRef

Wang, H.Y.[Hai-Yan], Hutchcroft, W.[Will], Li, Y.G.[Yu-Guang], Wan, Z.Q.[Zhi-Qiang], Boyadzhiev, I.[Ivaylo], Tian, Y.L.[Ying-Li], Kang, S.B.[Sing Bing],
PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation,
CVPR22(8606-8615)
IEEE DOI 2210
Solid modeling, Layout, Merging, Estimation, Transformers, 3D from multi-view and sensors, Deep learning architectures and techniques BibRef

Yi, H.W.[Hong-Wei], Huang, C.H.P.[Chun-Hao P.], Tzionas, D.[Dimitrios], Kocabas, M.[Muhammed], Hassan, M.[Mohamed], Tang, S.[Siyu], Thies, J.[Justus], Black, M.J.[Michael J.],
Human-Aware Object Placement for Visual Environment Reconstruction,
CVPR22(3949-3960)
IEEE DOI 2210
Surface reconstruction, Codes, Shape, Layout, Pose estimation, 3D from single images, Pose estimation and tracking, Scene analysis and understanding BibRef

Jiang, Z.G.[Zhi-Gang], Xiang, Z.Z.[Zhong-Zheng], Xu, J.H.[Jin-Hua], Zhao, M.[Ming],
LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network,
CVPR22(1644-1653)
IEEE DOI 2210
Geometry, Deep learning, Solid modeling, Layout, Neural networks, Estimation, 3D from single images, Datasets and evaluation, Vision applications and systems BibRef

Gkioxari, G.[Georgia], Ravi, N.[Nikhila], Johnson, J.[Justin],
Learning 3D Object Shape and Layout without 3D Supervision,
CVPR22(1685-1694)
IEEE DOI 2210
Training, Image segmentation, Image recognition, Image analysis, Shape, 3D from single images, Recognition: detection, grouping and shape analysis BibRef

Jia, H.J.[Hai-Jing], Yi, H.[Hong], Fujiki, H.[Hirochika], Zhang, H.Z.[Heng-Zhi], Wang, W.[Wei], Odamaki, M.[Makoto],
3D Room Layout Recovery Generalizing across Manhattan and Non-Manhattan Worlds,
OmniCV22(5188-5197)
IEEE DOI 2210
Surface reconstruction, Shape, Layout, Transformers BibRef

Para, W.[Wamiq], Guerrero, P.[Paul], Kelly, T.[Tom], Guibas, L.J.[Leonidas J.], Wonka, P.[Peter],
Generative Layout Modeling using Constraint Graphs,
ICCV21(6670-6680)
IEEE DOI 2203
Solid modeling, Computational modeling, Layout, Transformers, Neural generative models, Visual reasoning and logical representation BibRef

Yang, C.[Cheng], Zheng, J.[Jia], Dai, X.[Xili], Tang, R.[Rui], Ma, Y.[Yi], Yuan, X.J.[Xiao-Jun],
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image,
WACV22(235-244)
IEEE DOI 2202
Shape, Layout, Benchmark testing, Cognition, Convolutional neural networks, 3D Computer Vision Scene Understanding BibRef

Gupta, D.[Divam], Pu, W.[Wei], Tabor, T.[Trenton], Schneider, J.[Jeff],
SBEVNet: End-to-End Deep Stereo Layout Estimation,
WACV22(667-676)
IEEE DOI 2202
Geometry, Deep learning, Navigation, Robot kinematics, Layout, Semantics, Vision Systems and Applications BibRef

Tran, P.V.[Phi Vu],
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360° Panorama,
CVPR21(15348-15357)
IEEE DOI 2111
Measurement, Solid modeling, Layout, Estimation, Semisupervised learning BibRef

Sun, C.[Cheng], Sun, M.[Min], Chen, H.T.[Hwann-Tzong],
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features,
CVPR21(2573-2582)
IEEE DOI 2111
Image segmentation, Shape, Layout, Semantics, Estimation, Deep architecture BibRef

Wang, F.E.[Fu-En], Yeh, Y.H.[Yu-Hsuan], Sun, M.[Min], Chiu, W.C.[Wei-Chen], Tsai, Y.H.[Yi-Hsuan],
LED2-Net: Monocular 360° Layout Estimation via Differentiable Depth Rendering,
CVPR21(12951-12960)
IEEE DOI 2111
Training, Solid modeling, Layout, Estimation, Predictive models BibRef

Weihs, L.[Luca], Deitke, M.[Matt], Kembhavi, A.[Aniruddha], Mottaghi, R.[Roozbeh],
Visual Room Rearrangement,
CVPR21(5918-5927)
IEEE DOI 2111
Visualization, Navigation, Pattern recognition, Task analysis, Artificial intelligence BibRef

Takahashi, H., Date, H., Kanai, S., Yasutake, K.,
Detection of Indoor Attached Equipment From TLS Point Clouds Using Planar Region Boundary,
ISPRS20(B2:495-500).
DOI Link 2012
E.g. windows, lightings, and fire alarms. BibRef

Zheng, W.Z.[Wen-Zhao], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Structural Deep Metric Learning for Room Layout Estimation,
ECCV20(XVIII:735-751).
Springer DOI 2012
BibRef

Ren, L.L.[Liang-Liang], Song, Y.Y.[Yang-Yang], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning,
ECCV20(XXVII:550-565).
Springer DOI 2011
BibRef

Pintore, G.[Giovanni], Agus, M.[Marco], Gobbetti, E.[Enrico],
Atlantanet: Inferring the 3d Indoor Layout from a Single 360° Image Beyond the Manhattan World Assumption,
ECCV20(VIII:432-448).
Springer DOI 2011
BibRef

Nauata, N.[Nelson], Chang, K.H.[Kai-Hung], Cheng, C.Y.[Chin-Yi], Mori, G.[Greg], Furukawa, Y.[Yasutaka],
House-gan: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation,
ECCV20(I:162-177).
Springer DOI 2011
BibRef

Zhang, W.D.[Wei-Dong], Zhang, W.[Wei], Zhang, Y.[Yinda],
Geolayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes,
ECCV20(XVI: 632-648).
Springer DOI 2010
BibRef

Hirzer, M., Roth, P.M., Lepetit, V.,
Smart Hypothesis Generation for Efficient and Robust Room Layout Estimation,
WACV20(2901-2909)
IEEE DOI 2006
Layout, Image segmentation, Semantics, Feature extraction, Robustness, Estimation BibRef

Shi, Y.F.[Yi-Fei], Chang, A.X.[Angel X.], Wu, Z.L.[Zhe-Lun], Savva, M.[Manolis], Xu, K.[Kai],
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction,
CVPR19(1771-1780).
IEEE DOI 2002
BibRef

Yang, S.T.[Shang-Ta], Wang, F.E.[Fu-En], Peng, C.H.[Chi-Han], Wonka, P.[Peter], Sun, M.[Min], Chu, H.K.[Hung-Kuo],
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama,
CVPR19(3358-3367).
IEEE DOI 2002
BibRef

Sun, C.[Cheng], Hsiao, C.W.[Chi-Wei], Sun, M.[Min], Chen, H.T.[Hwann-Tzong],
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation,
CVPR19(1047-1056).
IEEE DOI 2002
BibRef

Howard-Jenkins, H.[Henry], Li, S.[Shuda], Prisacariu, V.[Victor],
Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts,
ACCV18(I:432-448).
Springer DOI 1906
BibRef

Deng, R., Chen, X.,
Robust Room Layout Estimation from a Single Image with Geometric Hints,
ICIP18(3673-3677)
IEEE DOI 1809
Layout, Semantics, Estimation, Optimization, Proposals, Clutter, Image segmentation, Layout estimation, Scene understanding, Geometric hints BibRef

Lee, C.Y., Badrinarayanan, V., Malisiewicz, T., Rabinovich, A.,
RoomNet: End-to-End Room Layout Estimation,
ICCV17(4875-4884)
IEEE DOI 1802
estimation theory, image colour analysis, image segmentation, iterative methods, object detection, optimisation, RoomNet, BibRef

Lee, J.K., Yea, J., Park, M.G., Yoon, K.J.,
Joint Layout Estimation and Global Multi-view Registration for Indoor Reconstruction,
ICCV17(162-171)
IEEE DOI 1802
feature extraction, graph theory, image reconstruction, image registration, iterative methods, optimisation, BibRef

Zhao, H., Lu, M., Yao, A., Guo, Y., Chen, Y., Zhang, L.,
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation,
CVPR17(870-878)
IEEE DOI 1711
Clutter, Estimation, Image edge detection, Labeling, Layout, Optimization, Semantics BibRef

Xu, J.[Jiu], Stenger, B.[Björn], Kerola, T.[Tommi], Tung, T.[Tony],
Pano2CAD: Room Layout from a Single Panorama Image,
WACV17(354-362)
IEEE DOI 1609
Cameras, Context, Estimation, Geometry, Layout, Solid modeling, Three-dimensional, displays BibRef

Kim, H.S.[Han-Sung], de Campos, T.E.[Teofilo E.], Hilton, A.[Adrian],
Room Layout Estimation with Object and Material Attributes Information Using a Spherical Camera,
3DV16(519-527)
IEEE DOI 1701
Cameras BibRef

Li, X.Y.[Xin-Yu], Zhang, Y.Y.[Yan-Yi], Marsic, I.[Ivan], Burd, R.S.[Randall S.],
Privacy Preserving Dynamic Room Layout Mapping,
ICISP16(61-70).
WWW Link. 1606
Only depth. Floor plan and furniture. BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Interactive Building Extraction and Modelling Systems .


Last update:Jan 30, 2024 at 20:33:16