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We propose a novel framework for creating large-scale photorealistic datasets of indoor scenes, with ground truth geometry, material, lighting and semantics.
Robust Monte Carlo methods for light transport simulation
Eric Veach · 1997
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Rendering synthetic objects into legacy photographs
Kevin Karsch, Varsha Hedau, David Forsyth, and Derek Hoiem · 2011
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Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
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Intrinsic scene properties from a single RGB-D image
Jonathan T Barron and Jitendra Malik · 2013
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Perceptual organization and recognition of indoor scenes from rgb-d images
Saurabh Gupta, Pablo Arbelaez, and Jitendra Malik · 2013
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Real shading in unreal engine 4
Brian Karis and Epic Games · 2013
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Intrinsic images in the wild
Sean Bell, Kavita Bala, and Noah Snavely · 2014
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Piecewise planar and compact floorplan reconstruction from images
Ricardo Cabral and Yasutaka Furukawa · 2014
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Automatic scene inference for 3d object compositing
Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Hailin Jin, Rafael Fonte, Michael Sittig, and David Forsyth · 2014
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Material recognition in the wild with the materials in context database
Sean Bell, Paul Upchurch, Noah Snavely, and Kavita Bala · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
David Eigen and Rob Fergus · 2015
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Sun rgb-d: A rgb-d scene understanding benchmark suite
Shuran Song, Samuel P. Lichtenberg, and Jianxiong Xiao · 2015
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Marr revisited: 2D-3D model alignment via surface normal prediction
Aayush Bansal, Bryan Russell, and Abhinav Gupta · 2016
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SceneNN: A scene meshes dataset with annotations
Binh-Son Hua, Quang-Hieu Pham, Duc Thanh Nguyen, Minh-Khoi Tran, Lap-Fai Yu, and Sai-Kit Yeung · 2016
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Friction from reflectance: Deep reflectance codes for predicting physical surface properties from one-shot in-field reflectance
Hang Zhang, Kristin Dana, and Ko Nishino · 2016
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Matterport3D: Learning from RGB-D data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Learning to predict indoor illumination from a single image
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, and Jean-François Lalonde · 2017
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AI2-THOR: An interactive 3d environment for visual AI
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Daniel Gordon, Yuke Zhu, Abhinav Gupta, and Ali Farhadi · 2017
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Feature pyramid networks for object detection
T. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
Cited alongside, same era.
SceneNet RGB-D: Can 5M synthetic images beat generic Imagenet pre-training on indoor segmentation?
John McCormac, Ankur Handa, Stefan Leutenegger, and Andrew J.Davison · 2017
Cited alongside, same era.
Real-time global illumination using precomputed light field probes
Morgan McGuire, Michael Mara, Derek Nowrouzezahrai, and David Luebke · 2017
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MINOS: Multimodal indoor simulator for navigation in complex environments
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas Funkhouser, and Vladlen Koltun · 2017
Cited alongside, same era.
Learning non-Lambertian object intrinsics across ShapeNet categories
Jian Shi, Yue Dong, Hao Su, and X Yu Stella · 2017
Cited alongside, same era.
Scan2CAD: Learning CAD model alignment in RGB-D scans
Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X Chang, and Matthias Nießner · 2019
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Floor-SP: Inverse CAD for floorplans by sequential room-wise shortest path
Jiacheng Chen, Chen Liu, Jiaye Wu, and Yasutaka Furukawa · 2019
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Deep parametric indoor lighting estimation
Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, and Jean-François Lalonde · 2019
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Fast spatially-varying indoor lighting estimation
Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, and Jean-François Lalonde · 2019
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Deep sky modeling for single image outdoor lighting estimation
Yannick Hold-Geoffroy, Akshaya Athawale, and Jean-François Lalonde · 2019
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Habitat: A Platform for Embodied AI Research
Manolis Savva*, Abhishek Kadian*, Oleksandr Maksymets*, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, and Dhruv Batra · 2019
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Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
Cited alongside, same era.
Physically-based rendering for indoor scene understanding using convolutional neural networks
Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, and Thomas Funkhouser · 2017
Cited alongside, same era.
Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
Cited alongside, same era.
Deep hybrid real and synthetic training for intrinsic decomposition
Sai Bi, Nima Khademi Kalantari, and Ravi Ramamoorthi · 2018
Cited alongside, same era.
Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset
Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, and Stefan Leutenegger · 2018
Cited alongside, same era.
CGIntrinsics: Better intrinsic image decomposition through physically-based rendering
Zhengqi Li and Noah Snavely · 2018
Cited alongside, same era.
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PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, and Hao Su · 2019
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Photoshape: photorealistic materials for large-scale shape collections
Keunhong Park, Konstantinos Rematas, Ali Farhadi, and Steven M Seitz · 2019
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Neural inverse rendering of an indoor scene from a single image
Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W Jacobs, and Jan Kautz · 2019
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Neural illumination: Lighting prediction for indoor environments
Shuran Song and Thomas Funkhouser · 2019
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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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SceneCAD: Predicting object alignments and layouts in RGB-D scans
Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, and Matthias Nießner · 2020
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3d-future: 3d furniture shape with texture
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, and Dacheng Tao · 2020
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Sim2real predictivity: Does evaluation in simulation predict real-world performance?
Abhishek Kadian, Joanne Truong, Aaron Gokaslan, Alexander Clegg, Erik Wijmans, Stefan Lee, Manolis Savva, Sonia Chernova, and Dhruv Batra · 2020
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Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and SVBRDF from a single image
Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, and Manmohan Chandraker · 2020
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Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding
Mike Roberts and Nathan Paczan · 2020
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iGibson, a simulation environment for interactive tasks in large realistic scenes
Bokui Shen, Fei Xia, Chengshu Li, Roberto Martın-Martın, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D’Arpino, Sanjana Srivastava, Lyne P Tchapmi, Kent Vainio, Li Fei-Fei, and Silvio Savarese · 2020
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Robust learning through cross-task consistency
A. R. Zamir, A. Sax, N. Cheerla, R. Suri, Z. Cao, J. Malik, and L. J. Guibas · 2020
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Structured3d: A large photo-realistic dataset for structured 3d modeling
Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, and Zihan Zhou · 2020
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