Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks
Pilzer, Andrea, Xu, Dan, Puscas, Mihai, Ricci, Elisa, Sebe, Nicu·2018·2018 International Conference on 3D Vision (3DV)
Cited by (192)
Items 101–192 of 192
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- Pseudo Supervised Monocular Depth Estimation with Teacher-Student NetworkHuan Liu, Junsong Yuan, Chen Wang, Jun Chen · 2021 · arXiv (Cornell University)
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- LapUNet: a novel approach to monocular depth estimation using dynamic laplacian residual U-shape networksYanhui Xi, Sai Li, Zhikang Xu, Feng Zhou, Juanxiu Tian · 2024 · Scientific Reports
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- Self-supervised Depth Estimation from Spectral Consistency and Novel View SynthesisYawen Lu, Guoyu Lu · 2022 · International Joint Conference on Neural Networks (IJCNN)
- Unsupervised Monocular Depth Estimation Based on Dual Attention Mechanism and Depth-Aware LossXinchen Ye, Mingliang Zhang, Rui Xu, Wei Zhong, Xin Fan, Zhu Liu, Jiaao Zhang · 2019 · IEEE International Conference on Multimedia and Expo (ICME)
- Efficient unsupervised monocular depth estimation using attention guided generative adversarial networkSumanta Bhattacharyya, Ju Shen, Stephen Welch, Chen Chen · 2021 · Journal of Real-Time Image Processing
- Predicting Unobserved Space for Planning via Depth Map AugmentationMarius Fehr, Tim Taubner, Yang Liu, Roland Siegwart, César Cadena · 2019 · International Conference on Advanced Robotics (ICAR)
- Generative Modeling for Multi-task Visual LearningBao, Zhipeng, Martial Hebert, Yu-Xiong Wang · 2021 · arXiv (Cornell University)
- Deep Learning Approaches for 3D Model Generation from 2D Artworks to Aid Blind People with Tactile ExplorationRocco Furferi · 2024 · Heritage
- SRSA-Depth: shape and region similarity awareness for outdoor monocular depth estimationLiyue Ge, Congxuan Zhang, Zhen Chen, Ke Lu, Cheng Feng · 2025 · Multimedia Systems
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- AI in Surgical RoboticsSamyakh Tukra, Niklas Lidströmer, Hutan Ashrafian, Stamatia Giannarou · 2021 · Springer eBooks
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- FasterMDE: A real-time monocular depth estimation search method that balances accuracy and speed on the edgeDou ZiWen, Yuqi Li, Dong Ye · 2023 · Applied Intelligence
- Unsupervised single-shot depth estimation using perceptual reconstructionChristoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson · 2023 · Machine Vision and Applications
- RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimationZhenyan Ji, Xiaojun Song, Houbin Song, Yang Hong, Xiaoxuan Guo · 2021 · Neurocomputing
- Unsupervised Monocular Depth Estimation Method Based on Multimodal Interaction PerceptionXiaogang Song, Yuping Tan, Jingyu Ning, Xiaofeng Lu, Xinhong Hei · 2025 · IEEE Sensors Journal
- From Coarse to Fine: A Monocular Depth Estimation Model Based on Left-Right ConsistencyZeyu Lei, Yan Wang, Yufan Xu, Rui Huang · 2019 · IEEE International Conference on Communication Technology (ICCT)
- Encoder-Decoder Structure with Multiscale Receptive Field Block for Unsupervised Depth Estimation from Monocular VideoSongnan Chen, Junyu Han, Mengxia Tang, Ruifang Dong, Jiangming Kan · 2022 · Remote Sensing
- TP-GAN: Simple Adversarial Network With Additional Player for Dense Depth Image EstimationAndi Hendra, Yasushi Kanazawa · 2023 · IEEE Access
- AMENet is a monocular depth estimation network designed for automatic stereoscopic displayTianzhao Wu, Zhongyi Xia, Man Zhou, Ling Bing Kong, Zengyuan Chen · 2024 · Scientific Reports
- Monocular Depth and Ego-motion Estimation with Scale Based on Superpixel and Normal ConstraintsJunxin Lu, Yongbin Gao, Jieyu Chen, Jenq–Neng Hwang, Hamido Fujita, Zhijun Fang · 2024 · ACM Transactions on Multimedia Computing Communications and Applications
- A depth estimation framework based on unsupervised learning and cross-modal translationJiafeng Shen, Kaiwei Wang, Kailun Yang, Kaite Xiang, Lei Fei, Xinxin Hu, Huabing Li, Hao Chen · 2019 · Target and Background Signatures
- Relativistic Approach for Training Self-Supervised Adversarial Depth Prediction Model Using Symmetric ConsistencyHyeseung Park, Seung-Chul Park, Young Hoon Joo · 2020 · IEEE Access
- ARFF-VO: A Self-Supervised Monocular Visual Odometry With Adaptive Region-Based Feature Filtering in Dynamic ScenesGuofeng Tong, Yuanyang Zhang, Zheng Li, Jiaru Sun · 2025 · IEEE Sensors Journal
- Self-Supervised Monocular Depth Learning in Low-Texture AreasWanpeng Xu, Ling Zou, Lingda Wu, Zhipeng Fu · 2021 · Remote Sensing
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- Face attribute analysis from structured light: an end-to-end approachVikas Thamizharasan, Abhijit Das, Daniele Battaglino, François Brémond, Antitza Dantcheva · 2022 · Multimedia Tools and Applications
- Self-Supervised Learning of Depth Maps for Autonomous CarsAndrei-Sebastian Petrescu, Cristian Damian, Daniela Colţuc · 2023 · European Signal Processing Conference (EUSIPCO)
- Self-supervised neural network-based endoscopic monocular 3D reconstruction methodZiming Zhang, Wenjun Tan, Yuhang Sun, Juntao Han, Zhe Wang, Hongsheng Xue, Ruoyu Wang · 2023 · Health Information Science and Systems
- OnboardDepth: Depth Prediction for Onboard SystemsAnelia Angelova, Devesh Yamparala, Justin Vincent, Chris Leger · 2019 · European Conference on Mobile Robots
- Self‐supervised binocular depth estimation algorithm with self‐rectification for autonomous drivingJingyao Bao, Hongfei Yu, Yongjia Zou, Jin Lv, Wei Liu, Yang Cao · 2024 · IET Intelligent Transport Systems
- High-Resolution Gated Depth Estimation for Self-Driving Cars in AdverseWeatherTobias Gruber, Stefanie Walz, Werner Ritter, Klaus Dietmayer · 2021 · Proceedings
- Improving Depth Estimation using Location InformationAhmed Zaitoon, Hossam E. Abd El Munim, Hazem M. Abbas · 2021 · International Conference on Computer Engineering & Systems (ICCES)
- AI in Surgical RoboticsSamyakh Tukra, Niklas Lidströmer, Hutan Ashrafian, Stamatia Giannarou · 2022 · Springer eBooks
- R-LKDepth: Recurrent Depth Learning With Larger KernelZhongkai Zhou, Xinnan Fan, Pengfei Shi, Yuanxue Xin, Xiaotian Wang · 2024 · IEEE Signal Processing Letters
- A Comparison Study of Depth Map Estimation in Indoor Environments Using pix2pix and CycleGANRicardo Salvino Casado, Emerson Carlos Pedrino · 2024 · IEEE Latin America Transactions
- Binocular StereovisionYu‐Jin Zhang · 2024 · Springer eBooks
- Pooling Pyramid Vision Transformer for Unsupervised Monocular Depth EstimationQingyu Zhang, Chunyan Wei, Qingxia Li, Xiaosen Tian, Chuanpeng Li · 2022 · IEEE International Conference on Smart Internet of Things (SmartIoT)
- Increased-Range Unsupervised Monocular Depth EstimationSaad Ali Imran, Muhammad Umar Karim Khan, Sikander Bin Mukarram, Chong‐Min Kyung · 2020 · arXiv (Cornell University)
- Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features.Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim · 2020 · arXiv (Cornell University)
- Self-supervised learning for visual obstacle avoidance technical reportTom van Dijk · 2022
- Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo ImagesAlonso, Miguel · 2019 · arXiv (Cornell University)
- Semi-supervised Depth Estimation from Sparse Depth and a Single Image for Dense Map ConstructionXinghong Huang, Zhuang Dai, Xubin Lin, Chenjie Suo, Li He, Yisheng Guan, Hong Zhang · 2019 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
- Cascaded Detail-Aware Network for Unsupervised Monocular Depth EstimationXinchen Ye, Mingliang Zhang, Xin Fan, Rui Xu, Juncheng Pu, Ruoke Yan · 2020 · IEEE International Conference on Multimedia and Expo (ICME)
- Self-Supervised Learning of Depth and Pose Using Cycle Generative Adversarial NetworkYunhe Tong, Anjie Wang, Songchao Tan, Shanshe Wang, Siwei Ma, Wen Gao · 2020 · Proceedings - International Conference on Image Processing
- Joint Depth Estimation and Semantic Segmentation with Adversarial Multi-task NetworkHui Ren, Nan Gao, Jia Li · 2020 · International Conference on Culture-oriented Science & Technology (ICCST)
- Towards Continual, Online, Unsupervised Depth.Muhammad Umar Karim Khan · 2021 · arXiv (Cornell University)
- Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANsChristoph Angermann, Adéla Moravová, Markus Haltmeier, Steinbjörn Jónsson, Christian Laubichler · 2021 · arXiv (Cornell University)
- Depth from Mono Accuracy Analysis by Changing Camera Parameters in the CARLA SimulatorZvonimir Grskovic, Juraj Peršić, Ivan Marković, Ivan K. Petrovic · 2021 · International Convention on Information and Communication Technology, Electronics and Microelectronics
- Depth Estimation for Monocular Image Based on Convolutional Neural NetworksBinglin Niu, Mengxia Tang, Xuelin Chen · 2021 · International Journal of Circuits Systems and Signal Processing
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- Unsupervised Learning for Stereo Depth Estimation using Efficient Correspondence MatchingHui Wenbin, Sei‐ichiro Kamata · 2021 · International Conference on Advances in Image Processing (ICAIP)
- An unsupervised monocular image depth prediction algorithm using Fourier domain analysisLifang Chen, Xiaojiao Tang · 2022 · IET Signal Processing
- Semi-Supervised Depth Estimation by Multi-Task LearningQingshun Fu, Xuan Dong · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
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- Improving loss functions and feature utilization for self-supervised single image depth estimation from monocular videosJulio Cesar Mendoza Bobadilla · 2022
- Stereo-Assisted Monitored Distillation for Accurate Depth CompletionJiawei Guo, Yiming Zhou, Hung-Chyun Chou · 2024 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
- Self-Supervised Multi-Camera Collaborative Depth Prediction With Latent Diffusion ModelsJialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Xiangyang Ji · 2025 · IEEE Transactions on Intelligent Transportation Systems
- Object Distance Estimation System with Deep Neural NetworksAndré Felipe dos S. Caraíba, Álisson Assis Cardoso · 2025 · Brazilian Conference on Robotics (CROS)
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- Depth Estimation Based on Fisheye CamerasYuwei Zhou, Guoyu Lu · 2025 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- R-TAFM: purely convolutional recurrent refinement for deployment-oriented monocular depth estimationZhongkai Zhou, Xinnan Fan, Pengfei Shi, Yuanxue Xin, Congxuan Zhang, Yu Zhang · 2026 · Journal of King Saud University - Computer and Information Sciences
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