A scalable, efficient, and accurate solution to non-rigid structure from motion

Author:

Agudo Antonio,Moreno-Noguer Francesc

Funder

Spanish Ministry of Science and Innovation

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. Building Rome in a day;Agarwal,2009

2. Online dense non-rigid 3D shape and camera motion recovery;Agudo,2014

3. Modal space: a physics-based model for sequential estimation of time-varying shape from monocular video;Agudo;J. Math. Imaging Vis.,2017

4. Mode-shape interpretation: re-thinking modal space for recovering deformable shapes;Agudo,2016

5. Learning shape, motion and elastic models in force space;Agudo,2015

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1. Temporal-Aware Neural Network for Dense Non-Rigid Structure from Motion;Electronics;2023-09-19

2. State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction;Computer Graphics Forum;2023-05

3. Spline Human Motion Recovery;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

4. Deep Spatial-Temporal Neural Network for Dense Non-Rigid Structure from Motion;Mathematics;2022-10-14

5. Neural Prior for Trajectory Estimation;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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