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Now showing items 1-10 of 31

Learned Multi-View Texture Super-Resolution

Richard, Audrey; Cherabier, Ian; Oswald, Martin R.; et al. (2019)

2019 International Conference on 3D Vision (3DV)

Conference Paper

Consensus Maximization with Linear Matrix Inequality Constraints

Speciale, Pablo; Paudel, Danda P.; Oswald, Martin R.; et al. (2017)

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Conference Paper

Symmetry-Aware façade parsing with occlusions

Cohen, Andrea; Oswald, Martin R.; Liu, Yanxi; et al. (2017)

2017 International Conference on 3D Vision (3DV)

Conference Paper

Learning Priors for Semantic 3D Reconstruction

Cherabier, Ian; Schönberger, Johannes L.; Oswald, Martin R.; et al. (2018)

Lecture Notes in Computer Science ~ Computer Vision – ECCV 2018

Conference Paper

Multi-Label Semantic 3D Reconstruction using Voxel Blocks

Cherabier, Ian; Häne, Christian; Oswald, Martin R.; et al. (2016)

2016 Fourth International Conference on 3D Vision (3DV)

Conference Paper

Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization

Maninchedda, Fabio; Häne, Christian; Oswald, Martin R.; et al. (2016)

2016 Fourth International Conference on 3D Vision (3DV)

Conference Paper

Consensus Maximization for Semantic Region Correspondences

Speciale, Pablo; Paudel, Danda P.; Oswald, Martin R.; et al. (2018)

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Conference Paper

Entropy Minimization for Convex Relaxation Approaches

Cremers, Daniel; Souiai, Mohamed; Oswald, Martin R.; et al. (2015)

2015 IEEE International Conference on Computer Vision (ICCV)

Conference Paper

A symmetry prior for convex variational 3D reconstruction

Speciale, Pablo; Oswald, Martin R.; Cohen, Andrea; et al. (2016)

Lecture Notes in Computer Science ~ Computer Vision – ECCV 2016

Conference Paper

Learning 3D Semantic Reconstruction on Octrees

Wang, Xiaojuan; Oswald, Martin R.; Cherabier, Ian; et al. (2019)

Lecture Notes in Computer Science ~ Pattern Recognition

Conference Paper

Results

Learned Multi-View Texture Super-Resolution

Consensus Maximization with Linear Matrix Inequality Constraints

Symmetry-Aware façade parsing with occlusions

Learning Priors for Semantic 3D Reconstruction

Multi-Label Semantic 3D Reconstruction using Voxel Blocks

Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization

Consensus Maximization for Semantic Region Correspondences

Entropy Minimization for Convex Relaxation Approaches

A symmetry prior for convex variational 3D reconstruction

Learning 3D Semantic Reconstruction on Octrees

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Results

Learned Multi-View Texture Super-Resolution ﻿

Consensus Maximization with Linear Matrix Inequality Constraints ﻿

Symmetry-Aware façade parsing with occlusions ﻿

Learning Priors for Semantic 3D Reconstruction ﻿

Multi-Label Semantic 3D Reconstruction using Voxel Blocks ﻿

Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization ﻿

Consensus Maximization for Semantic Region Correspondences ﻿

Entropy Minimization for Convex Relaxation Approaches ﻿

A symmetry prior for convex variational 3D reconstruction ﻿

Learning 3D Semantic Reconstruction on Octrees ﻿

Refine by

Learned Multi-View Texture Super-Resolution

Consensus Maximization with Linear Matrix Inequality Constraints

Symmetry-Aware façade parsing with occlusions

Learning Priors for Semantic 3D Reconstruction

Multi-Label Semantic 3D Reconstruction using Voxel Blocks

Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization

Consensus Maximization for Semantic Region Correspondences

Entropy Minimization for Convex Relaxation Approaches

A symmetry prior for convex variational 3D reconstruction

Learning 3D Semantic Reconstruction on Octrees