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Deep Learning Parametrization for B-Spline Curve Approximation

Deep Learning Parametrization for B-Spline Curve Approximation

International Conference on 3D Vision (3DV), 2018
22 July 2018
P. Laube
M. Franz
G. Umlauf
ArXiv (abs)PDFHTML

Papers citing "Deep Learning Parametrization for B-Spline Curve Approximation"

7 / 7 papers shown
Spline refinement with differentiable rendering
Spline refinement with differentiable renderingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Frans Zdyb
Albert Alonso
J. B. Kirkegaard
161
3
0
15 Mar 2025
B-Spine: Learning B-Spline Curve Representation for Robust and
  Interpretable Spinal Curvature Estimation
B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
Hao Wang
Qiang Song
Ruofeng Yin
Rui Ma
Yizhou Yu
Y. Chang
186
10
0
14 Oct 2023
Fast spline detection in high density microscopy data
Fast spline detection in high density microscopy dataCommunications Biology (Commun Biol), 2023
Albert Alonso
J. B. Kirkegaard
212
16
0
11 Jan 2023
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics
  with Quantified Uncertainty
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified UncertaintyNeural Information Processing Systems (NeurIPS), 2022
Luning Sun
Daniel Zhengyu Huang
Hao Sun
Jian-Xun Wang
190
18
0
14 Oct 2022
Binary segmentation of medical images using implicit spline
  representations and deep learning
Binary segmentation of medical images using implicit spline representations and deep learningComputer Aided Geometric Design (CAGD), 2021
O. Barrowclough
G. Muntingh
Varatharajan Nainamalai
Ivar Stangeby
144
23
0
25 Feb 2021
BézierSketch: A generative model for scalable vector sketches
BézierSketch: A generative model for scalable vector sketches
Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
210
68
0
04 Jul 2020
Shape Reconstruction by Learning Differentiable Surface Representations
Shape Reconstruction by Learning Differentiable Surface RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Jan Bednarík
Shaifali Parashar
Erhan Gundogdu
Mathieu Salzmann
Pascal Fua
3DV
216
63
0
25 Nov 2019
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