SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation

21 August 2020

Oliver Wasenmüller

Papers citing "SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation"

31 / 31 papers shown

Title
Learning Joint 2D-3D Representations for Depth Completion Yuxiang Chen Binh Yang Ming Liang R. Urtasun 3DV SSL MDE 75 172 0 22 Dec 2020
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion Xinjing Cheng Peng Wang Chenye Guan Ruigang Yang 70 224 0 13 Nov 2019
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints Yan Xu Xinge Zhu Jianping Shi Guofeng Zhang Hujun Bao Hongsheng Li 3DV 52 226 0 15 Oct 2019
Learning Guided Convolutional Network for Depth Completion Jie Tang Fei-Peng Tian Wei Feng Jian Li P. Tan 3DV 58 237 0 03 Aug 2019
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation Rohan Saxena René Schuster Oliver Wasenmüller D. Stricker 3DPC 44 43 0 12 Apr 2019
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks René Schuster Oliver Wasenmüller C. Unger D. Stricker MDE 62 50 0 05 Apr 2019
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance Yilun Zhang Ty Nguyen Ian D. Miller Shreyas S. Shivakumar Steven W. Chen Camillo J Taylor Vijay Kumar 3DV MDE 59 20 0 15 Mar 2019
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation René Schuster Oliver Wasenmüller C. Unger G. Kuschk D. Stricker 60 18 0 26 Feb 2019
Sparse and noisy LiDAR completion with RGB guidance and uncertainty Wouter Van Gansbeke D. Neven Bert De Brabandere Luc Van Gool 3DV 70 251 0 14 Feb 2019
Dense Depth Posterior (DDP) from Single Image and Sparse Range Yanchao Yang A. Wong Stefano Soatto 60 143 0 28 Jan 2019
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image Jiaxiong Qiu Zhaopeng Cui Yinda Zhang Xingdi Zhang Shuaicheng Liu B. Zeng Marc Pollefeys 3DV 3DPC MDE 72 369 0 02 Dec 2018
Confidence Propagation through CNNs for Guided Sparse Depth Regression Yi Shi Michael Felsberg Jason H. Li 3DV 67 189 0 05 Nov 2018
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation M. Jaritz Raoul de Charette É. Wirbel Xavier Perrotton F. Nashashibi 3DPC 3DV MDE 54 268 0 02 Aug 2018
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network Xinjing Cheng Peng Wang Ruigang Yang MDE 94 322 0 01 Aug 2018
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera Fangchang Ma G. V. Cavalheiro S. Karaman 3DV MDE SSL 73 417 0 01 Jul 2018
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 206 1,931 0 20 Apr 2018
Fast End-to-End Trainable Guided Filter Huikai Wu Shuai Zheng Junge Zhang Kaiqi Huang 51 228 0 15 Mar 2018
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences René Schuster Oliver Wasenmüller G. Kuschk C. Bailer D. Stricker 48 38 0 27 Oct 2017
Learning Affinity via Spatial Propagation Networks Sifei Liu Shalini De Mello Liang Feng Guangyu Zhong Ming-Hsuan Yang Jan Kautz 71 285 0 03 Oct 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 251 2,444 0 07 Sep 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 130 826 0 22 Aug 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 255 3,081 0 06 Dec 2016
InterpoNet, A brain inspired neural network for optical flow dense interpolation Shay Zweig Lior Wolf 60 50 0 29 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,559 0 07 Oct 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation N. Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox 3DPC 64 2,646 0 07 Dec 2015
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation C. Bailer B. Taetz D. Stricker 51 216 0 21 Aug 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 308 4,177 0 26 Apr 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow Jérôme Revaud Philippe Weinzaepfel Zaïd Harchaoui Cordelia Schmid 76 797 0 12 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Computing the Stereo Matching Cost with a Convolutional Neural Network Jure Zbontar Yann LeCun 3DV 72 769 0 15 Sep 2014