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3D Semantic Scene Completion (SSC) can provide dense geometric and semantic scene representations, which can be applied in the field of autonomous driving and robotic systems.
Numerical methods for shape-from-shading: A new survey with benchmarks
Jean-Denis Durou, Maurizio Falcone, and Manuela Sagona · 2008
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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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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, Jeff Dean, et al · 2015
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Hsfm: Hybrid structure-from-motion
Hainan Cui, Xiang Gao, Shuhan Shen, and Zhanyi Hu · 2017
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Like what you like: Knowledge distill via neuron selectivity transfer
Zehao Huang and Naiyan Wang · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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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
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Deep ordinal regression network for monocular depth estimation
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao · 2018
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Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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Two stream 3d semantic scene completion
Martin Garbade, Yueh-Tung Chen, Johann Sawatzky, and Juergen Gall · 2019
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Rgbd based dimensional decomposition residual network for 3d semantic scene completion
Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, and Ian Reid · 2019
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Structured knowledge distillation for semantic segmentation
Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, and Jingdong Wang · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Refine and distill: Exploiting cycle-inconsistency and knowledge distillation for unsupervised monocular depth estimation
Andrea Pilzer, Stephane Lathuiliere, Nicu Sebe, and Elisa Ricci · 2019
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EfficientNet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, and Mingli Song · 2019
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Real-time semantic scene completion via feature aggregation and conditioned prediction
Xiaokang Chen, Yajie Xing, and Gang Zeng · 2020
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Sg-nn: Sparse generative neural networks for self-supervised scene completion of rgb-d scans
Angela Dai, Christian Diller, and Matthias Nießner · 2020
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Inter-region affinity distillation for road marking segmentation
Yuenan Hou, Zheng Ma, Chunxiao Liu, Tak-Wai Hui, and Chen Change Loy · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 2021
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Semantic scene completion using local deep implicit functions on lidar data
Christoph Rist, David Emmerichs, Markus Enzweiler, and Dariu Gavrila · 2021
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Center3d: Center-based monocular 3d object detection with joint depth understanding
Yunlei Tang, Sebastian Dorn, and Chiragkumar Savani · 2021
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Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion
Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, and Shuguang Cui · 2021
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Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, and Yue Gao · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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Tartanair: A dataset to push the limits of visual slam
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, and Sebastian Scherer · 2020
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Scfusion: Real-time incremental scene reconstruction with semantic completion
Shun-Cheng Wu, Keisuke Tateno, Nassir Navab, and Federico Tombari · 2020
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S3cnet: A sparse semantic scene completion network for lidar point clouds
Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, and Liu Bingbing · 2021
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Panoptic 3d scene reconstruction from a single rgb image
Manuel Dahnert, Ji Hou, Matthias Nießner, and Angela Dai · 2021
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From points to multi-object 3d reconstruction
Francis Engelmann, Konstantinos Rematas, Bastian Leibe, and Vittorio Ferrari · 2021
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Semantic segmentation-assisted scene completion for lidar point clouds
Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, and Hongbo Zhang · 2021
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Monoscene: Monocular 3d semantic scene completion
Anh-Quan Cao and Raoul de Charette · 2022
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Scenerf: Self-supervised monocular 3d scene reconstruction with radiance fields
Anh-Quan Cao and Raoul de Charette · 2022
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Monodistill: Learning spatial features for monocular 3d object detection
Zhiyu Chong, Xinzhu Ma, Hong Zhang, Yuxin Yue, Haojie Li, Zhihui Wang, and Wanli Ouyang · 2022
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Unifying voxel-based representation with transformer for 3d object detection
Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, and Jiaya Jia · 2022
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Bevdepth: Acquisition of reliable depth for multi-view 3d object detection
Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, and Zeming Li · 2022
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3d semantic scene completion: a survey
Luis Roldao, Raoul De Charette, and Anne Verroust-Blondet · 2022
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Seeing 3d objects in a single image via self-supervised static-dynamic disentanglement
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T Freeman, Fredo Durand, Joshua B Tenenbaum, and Vincent Sitzmann · 2022
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Not all voxels are equal: Semantic scene completion from the point-voxel perspective
Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, and Gang Zeng · 2022
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Boosting 3d object detection by simulating multimodality on point clouds
Wu Zheng, Mingxuan Hong, Li Jiang, and Chi-Wing Fu · 2022
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