Christoph Lassner
Christoph Lassner
Facebook Reality Labs Research
Bestätigte E-Mail-Adresse bei fb.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
F Bogo, A Kanazawa, C Lassner, P Gehler, J Romero, MJ Black
European conference on computer vision, 561-578, 2016
7952016
Unite the people: Closing the loop between 3d and 2d human representations
C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2812017
Neural body fitting: Unifying deep learning and model based human pose and shape estimation
M Omran, C Lassner, G Pons-Moll, P Gehler, B Schiele
2018 international conference on 3D vision (3DV), 484-494, 2018
2412018
A generative model of people in clothing
C Lassner, G Pons-Moll, PV Gehler
Proceedings of the IEEE International Conference on Computer Vision, 853-862, 2017
1792017
Towards accurate marker-less human shape and pose estimation over time
Y Huang, F Bogo, C Lassner, A Kanazawa, PV Gehler, J Romero, I Akhter, ...
2017 international conference on 3D vision (3DV), 421-430, 2017
1012017
Arch: Animatable reconstruction of clothed humans
Z Huang, Y Xu, C Lassner, H Li, T Tung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
552020
Early stopping without a validation set
M Mahsereci, L Balles, C Lassner, P Hennig
arXiv preprint arXiv:1703.09580, 2017
432017
Efficient learning on point clouds with basis point sets
S Prokudin, C Lassner, J Romero
Proceedings of the IEEE International Conference on Computer Vision, 0-0, 2019
272019
Peter, Gehler, Javier Romero, and Michael J Black
F Bogo, A Kanazawa, C Lassner
Keep it smpl:, Automatic estimation of 3d human pose and shape from a …, 2016
192016
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
E Tretschk, A Tewari, V Golyanik, M Zollhöfer, C Lassner, C Theobalt
arXiv preprint arXiv:2012.12247, 2020
162020
Fast differentiable raycasting for neural rendering using sphere-based representations
C Lassner
arXiv e-prints, arXiv: 2004.07484, 2020
8*2020
Chained representation cycling: Learning to estimate 3D human pose and shape by cycling between representations
N Rueegg, C Lassner, M Black, K Schindler
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5561-5569, 2020
72020
Texmesh: Reconstructing detailed human texture and geometry from rgb-d video
T Zhi, C Lassner, T Tung, C Stoll, SG Narasimhan, M Vo
European Conference on Computer Vision, 492-509, 2020
62020
ANR: Articulated Neural Rendering for Virtual Avatars
A Raj, J Tanke, J Hays, M Vo, C Stoll, C Lassner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
52021
The fertilized forests Decision Forest library
C Lassner, R Lienhart
Proceedings of the 23rd ACM international conference on Multimedia, 681-684, 2015
52015
Norm-induced entropies for decision forests
C Lassner, R Lienhart
2015 IEEE Winter Conference on Applications of Computer Vision, 968-975, 2015
42015
Neural 3d video synthesis
T Li, M Slavcheva, M Zollhoefer, S Green, C Lassner, C Kim, T Schmidt, ...
arXiv preprint arXiv:2103.02597, 2021
32021
Active learning for efficient sampling of control models of collectives
A Schiendorfer, C Lassner, G Anders, W Reif, R Lienhart
2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing …, 2015
32015
Active learning for abstract models of collectives
A Schiendorfer, C Lassner, G Anders, W Reif, R Lienhart
ARCS 2015-The 28th International Conference on Architecture of Computing …, 2015
32015
Keep it {SMPL:} Automatic Estimation of 3D Human Pose and Shape from a Single Image. CoRR abs/1607.08128 (2016)
F Bogo, A Kanazawa, C Lassner, PV Gehler, J Romero, MJ Black
arXiv preprint arXiv:1607.08128, 2016
22016
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