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.L.[Yi-Lin],
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
Zheng, Y.P.[Yun-Peng],
Xu, Y.[Yuan],
Shu, S.Q.[Shi-Qiang],
Sarem, M.[Mudar],
Indoor semantic segmentation based on Swin-Transformer,
JVCIR(98), 2024, pp. 103991.
Elsevier DOI Code:
WWW Link.
2402
Deep learning, Transformer, RGB-D semantic segmentation
BibRef
Dai, K.[Kun],
Jiang, Z.Q.[Zhi-Qiang],
Xie, T.[Tao],
Wang, K.[Ke],
Liu, D.[Dedong],
Fan, Z.D.[Zhen-Dong],
Li, R.F.[Rui-Feng],
Zhao, L.J.[Li-Jun],
Omar, M.[Mohamed],
SOFW: A Synergistic Optimization Framework for Indoor 3D Object
Detection,
MultMed(27), 2025, pp. 637-651.
IEEE DOI
2502
Feature extraction, Object detection, Point cloud compression,
Optimization, Accuracy, Shape, Proposals, Sun, Kernel, deep learning
BibRef
Tsai, Y.J.[Yu-Ju],
Jhang, J.C.[Jin-Cheng],
Zheng, J.J.[Jing-Jing],
Wang, W.[Wei],
Chen, A.Y.C.[Albert Y. C.],
Sun, M.[Min],
Kuo, C.H.[Cheng-Hao],
Yang, M.H.[Ming-Hsuan],
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation,
CVPR24(28056-28065)
IEEE DOI
2410
Measurement, Accuracy, Annotations, Layout, Estimation, Manuals,
Panorama, Room Layout, Layout Estimation, Ambiguity
BibRef
Sun, C.[Cheng],
Tai, W.E.[Wei-En],
Shih, Y.L.[Yu-Lin],
Chen, K.W.[Kuan-Wei],
Syu, Y.J.[Yong-Jing],
The, K.S.[Kent Selwyn],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Chen, H.T.[Hwann-Tzong],
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering
for 360 Room Layout Reconstruction,
CVPR24(10435-10445)
IEEE DOI Code:
WWW Link.
2410
Training, Image segmentation, Layout, Reconstruction algorithms,
Predictive models
BibRef
Jing, T.[Taotao],
Wang, L.C.[Li-Chen],
Khosravan, N.[Naji],
Wan, Z.Q.[Zhi-Qiang],
Bessinger, Z.[Zachary],
Ding, Z.M.[Zheng-Ming],
Kang, S.B.[Sing Bing],
iBARLE: imBalance-Aware Room Layout Estimation,
WACV24(903-913)
IEEE DOI
2404
Training, Visualization, Shape, Layout, Estimation, Linear programming,
Algorithms, Image recognition and understanding, Algorithms,
Virtual / augmented reality
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,
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 .