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Guided depth super-resolution is a practical task where a low-resolution and noisy input depth map is restored to a high-resolution version, with the help of a high-resolution RGB guide image.
Joint image filtering with deep convolutional networks
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Deep joint image filtering. In European Conference on Computer Vision . Springer, 154–169
Yijun Li, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang. 2016 · 2016
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A deep primal-dual network for guided depth super-resolution
Gernot Riegler, David Ferstl, Matthias Rüther, and Horst Bischof. 2016 · 2016
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Learning dynamic guidance for depth image enhancement. In Proceedings of the IEEE conference on computer vision and pattern recognition . 3769–3778
Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, and Lei Zhang. 2017 · 2017
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Robust guided image filtering using nonconvex potentials
Bumsub Ham, Minsu Cho, and Jean Ponce. 2017 · 2017
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Deep laplacian pyramid networks for fast and accurate super-resolution. In Proceedings of the IEEE conference on computer vision and pattern recognition . 624–632
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang. 2017 · 2017
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Photo-realistic single image super-resolution using a generative adversarial network. In Proceedings of the IEEE conference on computer vision and pattern recognition . 4681–4690
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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Real-Time Semantic Scene Completion Via Feature Aggregation And Conditioned Prediction. In 2020 IEEE International Conference on Image Processing (ICIP) . IEEE, 2830–2834
Xiaokang Chen, Yajie Xing, and Gang Zeng. 2020c · 2020
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SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds. In 2020 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 1086–1093
Christoph B Rist, David Schmidt, Markus Enzweiler, and Dariu M Gavrila. 2020 · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein. 2020 · 2020
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Routedfusion: Learning real-time depth map fusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4887–4897
Silvan Weder, Johannes Schonberger, Marc Pollefeys, and Martin R Oswald. 2020 · 2020
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Depth Super-Resolution via Deep Controllable Slicing Network. In Proceedings of the 28th ACM International Conference on Multimedia . 1809–1818
Xinchen Ye, Baoli Sun, Zhihui Wang, Jingyu Yang, Rui Xu, Haojie Li, and Baopu Li. 2020 · 2020
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Deep unfolding network for image super-resolution. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3217–3226
Kai Zhang, Luc Van Gool, and Radu Timofte. 2020 · 2020
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Learning continuous image representation with local implicit image function. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8628–8638
Yinbo Chen, Sifei Liu, and Xiaolong Wang. 2021 · 2021
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