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ORCIDChristoph Lassner
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2020 – today
- 2024
[c27]Edith Tretschk, Vladislav Golyanik, Michael Zollhöfer, Aljaz Bozic, Christoph Lassner, Christian Theobalt:
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes. 3DV 2024: 1424-1435- [c26]Shashank Tripathi, Omid Taheri, Christoph Lassner, Michael J. Black, Daniel Holden, Carsten Stoll:
HUMOS: Human Motion Model Conditioned on Body Shape. ECCV (16) 2024: 133-152 - [i27]Yi Hua, Christoph Lassner, Carsten Stoll, Iain A. Matthews:
fNeRF: High Quality Radiance Fields from Practical Cameras. CoRR abs/2406.10633 (2024) - [i26]Shashank Tripathi, Omid Taheri, Christoph Lassner, Michael J. Black, Daniel Holden, Carsten Stoll:
HUMOS: Human Motion Model Conditioned on Body Shape. CoRR abs/2409.03944 (2024) - 2023
- [c25]Wenqi Xian, Aljaz Bozic, Noah Snavely, Christoph Lassner:
Neural Lens Modeling. CVPR 2023: 8435-8445 - [c24]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation. CVPR 2023: 8641-8651 - [i25]Wenqi Xian, Aljaz Bozic, Noah Snavely, Christoph Lassner:
Neural Lens Modeling. CoRR abs/2304.04848 (2023) - [i24]Shizhan Zhu, Shunsuke Saito, Aljaz Bozic, Carlos Aliaga, Trevor Darrell, Christoph Lassner:
Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient. CoRR abs/2306.09322 (2023) - [i23]Edith Tretschk, Vladislav Golyanik, Michael Zollhöfer, Aljaz Bozic, Christoph Lassner, Christian Theobalt:
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes. CoRR abs/2308.08258 (2023) - 2022
- [j2]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang
, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. Comput. Graph. Forum 41(2): 703-735 (2022) - [j1]Kai Yan, Christoph Lassner, Brian Budge, Zhao Dong, Shuang Zhao:
Efficient estimation of boundary integrals for path-space differentiable rendering. ACM Trans. Graph. 41(4): 123:1-123:13 (2022) - [c23]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, Zhaoyang Lv:
Neural 3D Video Synthesis from Multi-view Video. CVPR 2022: 5511-5521 - [c22]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture. CVPR 2022: 6133-6144 - [c21]Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer, Szymon Rusinkiewicz, Chris Sweeney, Richard A. Newcombe, Mira Slavcheva:
Self-supervised Neural Articulated Shape and Appearance Models. CVPR 2022: 15795-15805 - [c20]Hsiao-Yu Chen, Edith Tretschk, Tuur Stuyck, Petr Kadlecek, Ladislav Kavan, Etienne Vouga, Christoph Lassner:
Virtual Elastic Objects. CVPR 2022: 15806-15816 - [c19]Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. ECCV (32) 2022: 419-436 - [c18]Phong Nguyen-Ha, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung:
Free-Viewpoint RGB-D Human Performance Capture and Rendering. ECCV (16) 2022: 473-491 - [i22]Hsiao-Yu Chen, Edgar Tretschk, Tuur Stuyck, Petr Kadlecek, Ladislav Kavan, Etienne Vouga, Christoph Lassner:
Virtual Elastic Objects. CoRR abs/2201.04623 (2022) - [i21]Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer, Szymon Rusinkiewicz, Chris Sweeney, Richard A. Newcombe, Mira Slavcheva:
Self-supervised Neural Articulated Shape and Appearance Models. CoRR abs/2205.08525 (2022) - [i20]Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner:
TAVA: Template-free Animatable Volumetric Actors. CoRR abs/2206.08929 (2022) - [i19]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation. CoRR abs/2212.00613 (2022) - [i18]Siddhant Ranade, Christoph Lassner, Kai Li, Christian Häne, Shen-Chi Chen, Jean-Charles Bazin, Sofien Bouaziz:
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields. CoRR abs/2212.03406 (2022) - [i17]Aljaz Bozic, Denis Gladkov, Luke Doukakis, Christoph Lassner:
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments. CoRR abs/2212.06125 (2022) - 2021
- [c17]Christoph Lassner, Michael Zollhöfer:
Pulsar: Efficient Sphere-Based Neural Rendering. CVPR 2021: 1440-1449 - [c16]Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner:
ANR: Articulated Neural Rendering for Virtual Avatars. CVPR 2021: 3722-3731 - [c15]Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt:
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video. ICCV 2021: 12939-12950 - [i16]Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv:
Neural 3D Video Synthesis. CoRR abs/2103.02597 (2021) - [i15]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Wang Yifan, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. CoRR abs/2111.05849 (2021) - [i14]Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture. CoRR abs/2112.06904 (2021) - [i13]Phong Nguyen, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung:
Human View Synthesis using a Single Sparse RGB-D Input. CoRR abs/2112.13889 (2021) - 2020
- [c14]Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler:
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. AAAI 2020: 5561-5569 - [c13]Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung:
ARCH: Animatable Reconstruction of Clothed Humans. CVPR 2020: 3090-3099 - [c12]Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo:
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video. ECCV (10) 2020: 492-509 - [i12]Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler:
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. CoRR abs/2001.01613 (2020) - [i11]Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung:
ARCH: Animatable Reconstruction of Clothed Humans. CoRR abs/2004.04572 (2020) - [i10]Christoph Lassner:
Fast Differentiable Raycasting for Neural Rendering using Sphere-based Representations. CoRR abs/2004.07484 (2020) - [i9]Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo:
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video. CoRR abs/2008.00158 (2020) - [i8]Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt:
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. CoRR abs/2012.12247 (2020) - [i7]Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner:
ANR: Articulated Neural Rendering for Virtual Avatars. CoRR abs/2012.12890 (2020)
2010 – 2019
- 2019
- [c11]Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds With Basis Point Sets. ICCV 2019: 4331-4340 - [c10]Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds with Basis Point Sets. ICCV Workshops 2019: 3072-3081 - [i6]Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds with Basis Point Sets. CoRR abs/1908.09186 (2019) - 2018
- [b1]Christoph Lassner:
Combining Data-Driven 2D and 3D Human Appearance Models. University of Tübingen, Germany, 2018 - [c9]Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele:
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation. 3DV 2018: 484-494 - [i5]Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, Bernt Schiele:
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation. CoRR abs/1808.05942 (2018) - 2017
- [c8]Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler:
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CVPR 2017: 4704-4713 - [c7]Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler:
A Generative Model of People in Clothing. ICCV 2017: 853-862 - [i4]Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, Peter V. Gehler:
Unite the People: Closing the Loop Between 3D and 2D Human Representations. CoRR abs/1701.02468 (2017) - [i3]Maren Mahsereci, Lukas Balles, Christoph Lassner, Philipp Hennig:
Early Stopping without a Validation Set. CoRR abs/1703.09580 (2017) - [i2]Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler:
A Generative Model of People in Clothing. CoRR abs/1705.04098 (2017) - 2016
- [c6]Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black:
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. ECCV (5) 2016: 561-578 - [c5]Christoph Lassner, Daniel Kappler, Martin Kiefel, Peter V. Gehler:
Barrista: Caffe Well-Served. ACM Multimedia 2016: 1210-1213 - [i1]Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter V. Gehler, Javier Romero, Michael J. Black:
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. CoRR abs/1607.08128 (2016) - 2015
- [c4]Christoph Lassner, Rainer Lienhart:
The fertilized forests Decision Forest Library. ACM Multimedia 2015: 681-684 - [c3]Alexander Schiendorfer, Christoph Lassner, Gerrit Anders, Wolfgang Reif, Rainer Lienhart:
Active Learning for Efficient Sampling of Control Models of Collectives. SASO 2015: 51-60 - [c2]Christoph Lassner, Rainer Lienhart:
Norm-Induced Entropies for Decision Forests. WACV 2015: 968-975 - 2013
- [c1]Christoph Lassner, Rainer Lienhart:
Methods and Applications for Distance Based ANN Training. ICMLA (2) 2013: 146-151
Coauthor Index
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