Deep Parametric Shape Predictions using Distance Fields

18 April 2019

Papers citing "Deep Parametric Shape Predictions using Distance Fields"

9 / 9 papers shown

Title
Improved Convex Decomposition with Ensembling and Boolean Primitives Vaibhav Vavilala Florian Kluger Seemandhar Jain Bodo Rosenhahn David A. Forsyth OCL 33 1 0 29 May 2024
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks Yijia Weng Kaichun Mo Ruoxi Shi Yanchao Yang Leonidas J. Guibas 20 3 0 25 Dec 2023
VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions Zeqing Xia Bojun Xiong Z. Lian 3DV 87 8 0 22 Mar 2023
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries David R Palmer Dmitriy Smirnov Stephanie Wang Albert Chern Justin Solomon AI4CE 12 20 0 17 Nov 2021
DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning Yizhi Wang Z. Lian 3DV 22 20 0 13 Oct 2021
Engineering Sketch Generation for Computer-Aided Design Karl D. D. Willis P. Jayaraman Joseph G. Lambourne Hang Chu Yewen Pu 3DV 111 61 0 19 Apr 2021
Im2Vec: Synthesizing Vector Graphics without Vector Supervision P. Reddy Michael Gharbi M. Lukác Niloy J. Mitra 3DV 6 110 0 04 Feb 2021
Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence Yu Deng Jiaolong Yang Xin Tong 14 149 0 27 Nov 2020
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds Gopal Sharma Difan Liu Subhransu Maji E. Kalogerakis S. Chaudhuri Radomír Mvech 3DPC 16 138 0 26 Mar 2020