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Leveraging Monocular Disparity Estimation for Single-View Reconstruction


Jul 01, 2022
Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomir Mech


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ANISE: Assembly-based Neural Implicit Surface rEconstruction


May 27, 2022
Dmitry Petrov, Matheus Gadelha, Radomir Mech, Evangelos Kalogerakis

* 8 pages, 5 figures, 4 tables 

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CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds


Sep 06, 2021
Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomir Mech, Tamy Boubekeur, Niloy J. Mitra

* ICCV 2021 
* ICCV 2021: 15 pages, 8 figures 

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DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates


Feb 18, 2021
Minghua Liu, Minhyuk Sung, Radomir Mech, Hao Su


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Learning Generative Models of Shape Handles


Apr 06, 2020
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomir Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji

* 11 pages, 11 figures, accepted do CVPR 2020 

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LPaintB: Learning to Paint from Self-SupervisionLPaintB: Learning to Paint from Self-Supervision


Jun 17, 2019
Biao Jia, Jonathan Brandt, Radomir Mech, Byungmoon Kim, Dinesh Manocha


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DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction


May 26, 2019
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann


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3DN: 3D Deformation Network


Mar 08, 2019
Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann


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Photo-Sketching: Inferring Contour Drawings from Images


Jan 02, 2019
Mengtian Li, Zhe Lin, Radomir Mech, Ersin Yumer, Deva Ramanan

* WACV 2019. For code and dataset, see http://www.cs.cmu.edu/~mengtial/proj/sketch/ 

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Learning to Detect Multiple Photographic Defects


Mar 08, 2018
Ning Yu, Xiaohui Shen, Zhe Lin, Radomir Mech, Connelly Barnes

* Accepted to WACV'18 

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