Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach-Reference-Cited by-同舟云学术

Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach

Published:2022-08 Issue:5 Volume:41 Page:13-24
ISSN:0167-7055
Container-title:Computer Graphics Forum
language:en
Short-container-title:Computer Graphics Forum

Author:

Pegoraro M.¹^ORCID,Melzi S.¹²^ORCID,Castellani U.³^ORCID,Marin R.¹^ORCID,Rodolà E.¹^ORCID

Affiliation:

1. Sapienza University of Rome Italy

2. University of Milano‐Bicocca Italy

3. University of Verona Italy

Funder

Sapienza University of Rome

University of Verona

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14599

Reference48 articles.

1. Aumentado‐ArmstrongT. TsogkasS. JepsonA. DickinsonS.: Geometric disentanglement for generative latent shape models. InInternational Conference on Computer Vision (ICCV)(2019). 2

2. AchlioptasP. DiamantiO. MitliagkasI. GuibasL.: Learning representations and generative models for 3d point clouds. InInternational Conference on Machine Learning(2018) pp.40–49. 2 4

3. BhatnagarB. L. SminchisescuC. TheobaltC. Pons‐MollG.: Combining implicit function learning and parametric models for 3d human reconstruction. InEuropean Conference on Computer Vision (ECCV)(2020). 2

4. ChenZ. KimV. G. FisherM. AigermanN. ZhangH. ChaudhuriS.: Decor‐gan: 3d shape detailization by conditional refinement. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(June2021) pp.15740–15749. 2

5. CosmoL. NorelliA. HalimiO. KimmelR. RodolàE.: LIMP: Learning Latent Shape Representations with Metric Preservation Priors. InEuropean Conference on Computer Vision (ECCV)(2020). 2

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multi-spectral Geometric Approach for Shape Analysis;Journal of Mathematical Imaging and Vision;2024-06-17

2. SpecTrHuMS: Spectral transformer for human mesh sequence learning;Computers & Graphics;2023-10