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Reconstructing detailed 3D scenes from single-view images remains a challenging task due to limitations in existing approaches, which primarily focus on geometric shape recovery, overlooking object appearances and fine shape details.
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Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
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Saumitro Dasgupta, Kuan Fang, Kevin Chen, and Silvio Savarese · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
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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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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Learning a multi-view stereo machine
Abhishek Kar, Christian Häne, and Jitendra Malik · 2017
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Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
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Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, and Jiajun Wu · 2018
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Neural scene representation and rendering
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Pix3d: Dataset and methods for single-image 3d shape modeling
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Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang · 2018
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Holistic++ scene understanding: Single-view 3d holistic scene parsing and human pose estimation with human-object interaction and physical commonsense
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Zhiqin Chen and Hao Zhang · 2019
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Mesh r-cnn
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Perspectivenet: 3d object detection from a single rgb image via perspective points
Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, and Song-Chun Zhu · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2019
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Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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Holistic 3d scene understanding from a single image with implicit representation
Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, and Shuaicheng Liu · 2021
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Scanqa: 3d question answering for spatial scene understanding
Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, and Motoaki Kawanabe · 2022
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Meshudf: Fast and differentiable meshing of unsigned distance field networks
Benoit Guillard, Federico Stella, and Pascal Fua · 2022
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Neural 3d scene reconstruction with the manhattan-world assumption
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Towards high-fidelity single-view holistic reconstruction of indoor scenes
Haolin Liu, Yujian Zheng, Guanying Chen, Shuguang Cui, and Xiaoguang Han · 2022
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Texturify: Generating textures on 3d shape surfaces
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Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
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Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes
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Neural sparse voxel fields
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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
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Object-compositional neural implicit surfaces
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Nerf-editing: geometry editing of neural radiance fields
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Towards explainable 3d grounded visual question answering: A new benchmark and strong baseline
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Mesh2tex: Generating mesh textures from image queries
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