High-fidelity View Synthesis for Light Field Imaging With Extended Pseudo 4DCNN
暂无分享,去创建一个
Zhenan Sun | Tieniu Tan | Fei Liu | Yunlong Wang | Kunbo Zhang | Zilei Wang | T. Tan | Zhenan Sun | Zilei Wang | Kunbo Zhang | Fei Liu | Yunlong Wang
[1] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Bastian Goldlücke,et al. A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields , 2016, ACCV.
[3] Qionghai Dai,et al. Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Qionghai Dai,et al. Learning Sheared EPI Structure for Light Field Reconstruction , 2019, IEEE Transactions on Image Processing.
[5] Ting-Chun Wang,et al. Learning-based view synthesis for light field cameras , 2016, ACM Trans. Graph..
[6] Kyoung Mu Lee,et al. Deeply-Recursive Convolutional Network for Image Super-Resolution , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] In-So Kweon,et al. Learning a Deep Convolutional Network for Light-Field Image Super-Resolution , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[8] P. Hanrahan,et al. Light Field Photography with a Hand-held Plenoptic Camera , 2005 .
[9] Narendra Ahuja,et al. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[11] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Qionghai Dai,et al. Light Field Reconstruction Using Deep Convolutional Network on EPI , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[14] Qionghai Dai,et al. Light field from micro-baseline image pair , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Leonidas J. Guibas,et al. Volumetric and Multi-view CNNs for Object Classification on 3D Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Jian Yang,et al. Image Super-Resolution via Deep Recursive Residual Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] E. Adelson,et al. The Plenoptic Function and the Elements of Early Vision , 1991 .
[19] George Drettakis,et al. Depth synthesis and local warps for plausible image-based navigation , 2013, TOGS.
[20] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Gordon Wetzstein,et al. The light field stereoscope , 2015, ACM Trans. Graph..
[22] Xiaoou Tang,et al. Accelerating the Super-Resolution Convolutional Neural Network , 2016, ECCV.
[23] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[24] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Tieniu Tan,et al. Meta-SR: A Magnification-Arbitrary Network for Super-Resolution , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Jie Chen,et al. Flexible, Fast and Accurate Densely-Sampled Light Field Reconstruction Network , 2019, ArXiv.
[27] Jan Kautz,et al. Loss Functions for Image Restoration With Neural Networks , 2017, IEEE Transactions on Computational Imaging.
[28] Xiaoming Chen,et al. Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues , 2018, ECCV.
[29] Richard Szeliski,et al. The lumigraph , 1996, SIGGRAPH.
[30] Frédo Durand,et al. Light Field Reconstruction Using Sparsity in the Continuous Fourier Domain , 2014, ACM Trans. Graph..
[31] Tieniu Tan,et al. End-to-End View Synthesis for Light Field Imaging with Pseudo 4DCNN , 2018, ECCV.
[32] Sven Wanner,et al. Variational Light Field Analysis for Disparity Estimation and Super-Resolution , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Stefan B. Williams,et al. Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Tieniu Tan,et al. High quality depth map estimation of object surface from light-field images , 2017, Neurocomputing.
[35] Chao Li,et al. Computer Vision and Image Understanding , 2022 .
[36] Alexei A. Efros,et al. Depth Estimation with Occlusion Modeling Using Light-Field Cameras , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Marc Levoy,et al. Light field rendering , 1996, SIGGRAPH.
[38] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[39] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Ravi Ramamoorthi,et al. Learning to Synthesize a 4D RGBD Light Field from a Single Image , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[42] In-So Kweon,et al. Light-Field Image Super-Resolution Using Convolutional Neural Network , 2017, IEEE Signal Processing Letters.
[43] Qionghai Dai,et al. Light Field Image Processing: An Overview , 2017, IEEE Journal of Selected Topics in Signal Processing.
[44] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[46] Shi-Min Hu,et al. PlenoPatch: Patch-Based Plenoptic Image Manipulation , 2017, IEEE Transactions on Visualization and Computer Graphics.
[47] Anita Sellent,et al. Floating Textures , 2008, Comput. Graph. Forum.
[48] Lu Fang,et al. LapEPI-Net: A Laplacian Pyramid EPI structure for Learning-based Dense Light Field Reconstruction , 2019, ArXiv.
[49] Frédo Durand,et al. Linear view synthesis using a dimensionality gap light field prior , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.