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GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

6 March 2018

Papers citing "GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose"

50 / 555 papers shown

Title
MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images Zhiwei Wang Ying Zhou Shiquan He Ting Li Fan Huang Qiang Ding Xinxia Feng Mei Liu Qiang Li MDE 230 9 0 25 Apr 2024
Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation Gensheng Pei Yazhou Yao Jianbo Jiao Wenguan Wang Liqiang Nie Jinhui Tang VOS 226 1 0 21 Apr 2024
SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation M. Lavrenyuk MDE 272 12 0 18 Apr 2024
Matching 2D Images in 3D: Metric Relative Pose from Metric CorrespondencesComputer Vision and Pattern Recognition (CVPR), 2024 Axel Barroso-Laguna Sowmya P. Munukutla V. Prisacariu Eric Brachmann 3DV 188 31 0 09 Apr 2024
Adaptive Discrete Disparity Volume for Self-supervised Monocular Depth Estimation Jianwei Ren MDE 196 0 0 04 Apr 2024
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Mu Hu Wei Yin C. Zhang Yong Deng Xiaoxiao Long Kaixuan Wang Kaixuan Wang Gang Yu Chunhua Shen Shaojie Shen 3DGS 576 301 0 22 Mar 2024
Geometric Constraints in Deep Learning Frameworks: A SurveyACM Computing Surveys (ACM CSUR), 2024 Vibhas Kumar Vats David J. Crandall 3DV 249 1 0 19 Mar 2024
Robust Shape Fitting for 3D Scene Abstraction Florian Kluger Eric Brachmann Michael Ying Yang Bodo Rosenhahn 3DV 3DPC 212 5 0 15 Mar 2024
DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos Xiuzhe Wu Xiaoyang Lyu Qihao Huang Yong-Jin Liu Yang Wu Ying Shan Xiaojuan Qi MDE 195 0 0 09 Mar 2024
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV Jaime Spencer Chris Russell Simon Hadfield Richard Bowden MDE 243 7 0 03 Mar 2024
MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation Yue-Jiang Dong Fang-Lue Zhang Song-Hai Zhang 181 5 0 18 Feb 2024
LEAP-VO: Long-term Effective Any Point Tracking for Visual OdometryComputer Vision and Pattern Recognition (CVPR), 2024 Weirong Chen Le Chen Rui Wang Marc Pollefeys 332 41 0 03 Jan 2024
DUSt3R: Geometric 3D Vision Made Easy Shuzhe Wang Vincent Leroy Yohann Cabon Boris Chidlovskii Jérôme Revaud 3DGS 308 883 0 21 Dec 2023
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation Yue-Jiang Dong Yuanchen Guo Ying-Tian Liu Fang-Lue Zhang Song-Hai Zhang MDE 231 8 0 20 Dec 2023
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free EnvironmentsIEEE Transactions on Image Processing (IEEE TIP), 2023 Chubin Zhang Juncheng Yan Yi Wei Jiaxin Li Li Liu Yansong Tang Yueqi Duan Jiwen Lu 3DV 3DPC 274 24 0 14 Dec 2023
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation Genki Kinoshita Ko Nishino MDE 175 2 0 07 Dec 2023
Un-EVIMO: Unsupervised Event-Based Independent Motion SegmentationEuropean Conference on Computer Vision (ECCV), 2023 ZiYun Wang Jinyuan Guo Kostas Daniilidis 318 3 0 30 Nov 2023
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model Shuwei Shao Zhongcai Pei Weihai Chen Dingchi Sun Peter C. Y. Chen Zhengguo Li MDE DiffM 254 17 0 13 Nov 2023
FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent ArchitecturesPattern Recognition (Pattern Recogn.), 2023 Andrea Ciamarra Federico Becattini Lorenzo Seidenari Marco Bertini 283 1 0 31 Oct 2023
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical ScenesNeural Information Processing Systems (NeurIPS), 2023 Yihong Sun Bharath Hariharan MDE 206 41 0 29 Oct 2023
Learning depth from monocular video sequences Zhenwei Luo VLM MDE 91 0 0 26 Oct 2023
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion Yangchao Wu Tian Yu Liu Hyoungseob Park Stefano Soatto Dong Lao Alex Wong 339 14 0 15 Oct 2023
l-dyno: framework to learn consistent visual features using robot's motionIEEE International Conference on Robotics and Automation (ICRA), 2023 Kartikeya Singh Charuvahan Adhivarahan Karthik Dantu 111 1 0 10 Oct 2023
UFD-PRiME: Unsupervised Joint Learning of Optical Flow and Stereo Depth through Pixel-Level Rigid Motion Estimation Shuai Yuan Carlo Tomasi MDE 3DPC 241 2 0 07 Oct 2023
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation Muhammad Osama Khan Junbang Liang Chun-Kai Wang Shan Yang Yu Lou MDE 183 4 0 06 Oct 2023
Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical FlowIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Sheng-Chi Huang Wei-Chen Chiu 120 0 0 03 Oct 2023
Multi-task View Synthesis with Neural Radiance FieldsIEEE International Conference on Computer Vision (ICCV), 2023 Shuhong Zheng Zhipeng Bao Martial Hebert Yu Wang 168 6 0 29 Sep 2023
XVO: Generalized Visual Odometry via Cross-Modal Self-TrainingIEEE International Conference on Computer Vision (ICCV), 2023 Tohida Rehman Ronit Mandal Jimuyang Zhang Debarshi Kumar Sanyal SSL 307 25 0 28 Sep 2023
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesIEEE International Conference on Computer Vision (ICCV), 2023 Chaoqiang Zhao Matteo Poggi Fabio Tosi Lei Zhou Qiyu Sun Yang Tang S. Mattoccia MDE 267 23 0 26 Sep 2023
SRFNet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and EventsIEEE International Conference on Robotics and Automation (ICRA), 2023 Tianbo Pan Zidong Cao Lin Wang MDE 153 13 0 22 Sep 2023
Towards Better Data Exploitation in Self-Supervised Monocular Depth EstimationIEEE Robotics and Automation Letters (RA-L), 2023 Jinfeng Liu Lingtong Kong J. Yang Wen Liu MDE 214 13 0 11 Sep 2023
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic ObjectsNeural Processing Letters (NPL), 2023 Zhengyang Lu Ying Chen 3DPC MDE 177 24 0 07 Sep 2023
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion RigidityIEEE International Conference on Computer Vision (ICCV), 2023 Zijie Jiang Masatoshi Okutomi MDE 270 4 0 04 Sep 2023
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth EstimationIEEE International Conference on Computer Vision (ICCV), 2023 Zhengming Zhou Qiulei Dong MDE 212 11 0 02 Sep 2023
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationAAAI Conference on Artificial Intelligence (AAAI), 2023 Youhong Wang Yunji Liang Hao Xu Shaohui Jiao Hongkai Yu MDE 196 51 0 01 Sep 2023
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple CamerasIEEE International Conference on Computer Vision (ICCV), 2023 Aron Schmied Tobias Fischer Martin Danelljan Marc Pollefeys Feng Yu 3DV 211 40 0 28 Aug 2023
Deep Learning for Visual Localization and Mapping: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Changhao Chen Bing Wang Chris Xiaoxuan Lu Niki Trigoni Andrew Markham HAI 227 52 0 27 Aug 2023
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume Xingyu Miao Yang Bai Haoran Duan Yawen Huang Fan Wan Xinxing Xu Yang Long Yefeng Zheng MDE 176 26 0 14 Aug 2023
Learning Depth Estimation for Transparent and Mirror SurfacesIEEE International Conference on Computer Vision (ICCV), 2023 Alex Costanzino Pierluigi Zama Ramirez Matteo Poggi Fabio Tosi S. Mattoccia Luigi Di Stefano MDE 226 34 0 27 Jul 2023
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance LearningIEEE International Conference on Computer Vision (ICCV), 2023 Ju He Yifan Wang Lijun Wang Huchuan Lu Jun-Yan He Jinpeng Lan Bin Luo Yifeng Geng Xuansong Xie MDE 214 11 0 27 Jul 2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single ImageIEEE International Conference on Computer Vision (ICCV), 2023 Wei Yin Chi Zhang Hao Chen Yong Deng Gang Yu Kaixuan Wang Xiaozhi Chen Chunhua Shen MDE 359 306 0 20 Jul 2023
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVIEEE International Conference on Computer Vision (ICCV), 2023 Jaime Spencer Chris Russell Simon Hadfield Richard Bowden MDE 192 22 0 20 Jul 2023
Multi-Object Discovery by Low-Dimensional Object MotionIEEE International Conference on Computer Vision (ICCV), 2023 Sadra Safadoust Fatma Guney OCL 248 15 0 16 Jul 2023
Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera Shaocheng Jia Wei-Ting Yao 149 0 0 20 Jun 2023
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios Yucheng Mao Ruowen Zhao Tianbao Zhang Hang Zhao 247 5 0 20 Jun 2023
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions Yuqi Sun Reian He Weimin Tan Bo Yan DiffM 168 3 0 19 Jun 2023
A survey on deep learning approaches for data integration in autonomous driving system Xi Zhu Likang Wang Caifa Zhou Xiya Cao Yue Gong Lei Chen 275 3 0 17 Jun 2023
iSLAM: Imperative SLAMIEEE Robotics and Automation Letters (RA-L), 2023 Tai Fu Shaoshu Su Yiren Lu Chen Wang 328 29 0 13 Jun 2023
Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving Xiangyu Bai Yedi Luo Le Jiang Aniket Gupta Pushyami Kaveti H. Singh Sarah Ostadabbas 267 12 0 05 Jun 2023
Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning Long Chen Siyu Teng Bai Li X. Na Yuchen Li Zixuan Li Jinjun Wang Dongpu Cao N. Zheng Fei-Yue Wang 218 64 0 03 Jun 2023

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GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

Papers citing "GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose"