IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction

Shimada, Soshi; Golyanik, Vladislav; Theobalt, Christian; Stricker, Didier

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction

MPS-Authors

/persons/resource/persons239654

Golyanik, Vladislav
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45610

Theobalt, Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Shimada_IsMo-GAN_Adversarial_Learning_for_Monocular_Non-Rigid_3D_Reconstruction_CVPRW_2019_paper.pdf
(Preprint), 2MB

Supplementary Material (public)

There is no public supplementary material available

Citation

Shimada, S., Golyanik, V., Theobalt, C., & Stricker, D. (2019). IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. Computer Vision Foundation.

Cite as: https://hdl.handle.net/21.11116/0000-0005-9410-1

Abstract

There is no abstract available