NEW: Bachelor/Master Thesis, Research Immersion Lab (RIL) and HiWi Topics Available!
If you are interested in a bachelor/master thesis, an internship, research immersion lab (RIL) or a HiWi position on one of the topics listed below, do not hesitate to reach me out.
Research Interests
3D reconstruction and analysis of rigid and non-rigid scenes and objects
point set registration and transformation estimation
new sensors and hardware for computer graphics and vision
physics-based methods
Publications
Quantum Permutation Synchronization.T. Birdal*, V. Golyanik*, C. Theobalt and L. Guibas.
arXiv.org, 2020.
[project page]
Pose-Guided Human Animation from a Single Image in the Wild.
J. S. Yoon, L. Liu, V. Golyanik, K. Sarkar, H. S. Park, and C. Theobalt.
arXiv.org, 2020.
[paper]
[video]
EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream.
V. Rudnev, V. Golyanik, J. Wang, H.-P. Seidel, F. Mueller, M. Elgharib and C. Theobalt.
Technical Report on arXiv.org, 2020.
[project page]
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video.
E. Tretschk, A. Tewari, V. Golyanik, M. Zollhöfer, C. Lassner and C. Theobalt.
Technical Report on arXiv.org, 2020.
[project page]
[source code]
High-Fidelity Neural Human Motion Transfer from Monocular Video.
M. Kappel, V. Golyanik, M. Elgharib, J.-O. Henningson, H.-P. Seidel, S. Castillo, C. Theobalt and M. Magnor.
arXiv.org, 2020.
[project page]
2020
PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time.
S. Shimada, V. Golyanik, W. Xu and C. Theobalt.
Accepted in SIGGRAPH Asia 2020.
[paper (arXiv.org)]
[bibtex]
[project page]
Egocentric Videoconferencing.
M. Elgharib, M. Mendiratta, J. Thies, M. Nießner, H.-P. Seidel, A. Tewari, V. Golyanik and C. Theobalt.
Accepted in SIGGRAPH Asia 2020.
[draft]
[supplement]
[bibtex]
[project page]
Fast Simultaneous Gravitational Alignment of Multiple Point Sets.V. Golyanik, S. Shimada and C. Theobalt.
Accepted in 3DV 2020; Oral.
[draft]
[bibtex]
[project page]
Adiabatic Quantum Graph Matching with Permutation Matrix Constraints.
M. Seelbach Benkner, V. Golyanik, C. Theobalt and M. Moeller.
Accepted in 3DV 2020.
[draft]
[supplement]
[bibtex]
[project page]
Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations.
S. A. Ali, K. Kahraman, C. Theobalt, D. Stricker and V. Golyanik.
arXiv.org, 2020.
[paper (arXiv.org)]
[bibtex]
Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints.
V. Sidhu, E. Tretschk, V. Golyanik, A. Agudo and C. Theobalt.
European Conference on Computer Vision (ECCV), 2020.
[paper]
[supplement]
[video]
[bibtex]
[project page (includes the ECCV talks)]
HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization.
N. Qian, J. Wang, F. Müller, F. Bernard, V. Golyanik and C. Theobalt.
European Conference on Computer Vision (ECCV), 2020.
[paper]
[supplement]
[video]
[bibtex]
[project page]
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations.
E. Tretschk, A. Tewari, V. Golyanik, M. Zollhöfer, C. Stoll and C. Theobalt.
European Conference on Computer Vision (ECCV), 2020.
[paper]
[supplement]
[video]
[bibtex]
[project page (includes the ECCV talks)]
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects.
E. Tretschk, A. Tewari, M. Zollhöfer, V. Golyanik and C. Theobalt.
European Conference on Computer Vision (ECCV), 2020; Spotlight
[paper]
[supplement]
[bibtex]
[arXiv]
[project page (includes the ECCV talks)]
A Quantum Computational Approach to Correspondence Problems on Point Sets.V. Golyanik and C. Theobalt.
In Computer Vision and Pattern Recognition (CVPR), 2020.
[paper]
[slides]
[poster]
[bibtex]
[arXiv]
[project page]
EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera.
L. Xu, W. Xu, V. Golyanik, M. Habermann, L. Fang and C. Theobalt.
In Computer Vision and Pattern Recognition (CVPR), 2020; Oral
[paper]
[supplement]
[bibtex]
[arXiv]
[project page]
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map.
J. Malik, I. Abdelaziz, A. Elhayek, S. Shimada, S. A. Ali, V. Golyanik, C. Theobalt and D. Stricker.
In Computer Vision and Pattern Recognition (CVPR), 2020.
[paper]
[supplement]
[bibtex]
[arXiv]
[project page]
Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds. Doctoral Dissertation, TU Kaiserslautern.
V. Golyanik. Springer Vieweg Verlag, 2020.
DAGM MVTec Dissertation Award 2020
[Springer]
[Springer Link]
[Book Flyer]
Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data.
O. Kovalenko, V. Golyanik, J. Malik, A. Elhayek and D. Stricker.
Sensors (Volume 19, Issue 20), 2019.
[paper]
[link (open access)]
[video]
[bibtex]
[arXiv]
Accelerated Gravitational Point Set Alignment with Altered Physical Laws.V. Golyanik, C. Theobalt and D. Stricker.
International Conference on Computer Vision (ICCV), 2019;
[paper]
[supplementary material]
[poster]
[bibtex]
[project page]
A Shape Completion Component for Monocular Non-Rigid SLAM.
Y. Su, V. Golyanik, N. Minaskan, S. A. Ali and D. Stricker.
International Symposium on Mixed and Augmented Reality (ISMAR), 2019.
[paper]
[supplement (video, 15 MB)]
[MSCC Dataset]
[bibtex]
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies.
S. Shimada, V. Golyanik, E. Tretschk, D. Stricker and C. Theobalt.
In International Conference on 3D Vision (3DV), 2019; Oral
[paper]
[poster]
[presentation]
[project page]
[arXiv]
[bibtex]
Optimising for Scale in Globally Multiply-Linked Gravitational Point Set Registration Leads to Singularities.V. Golyanik and C. Theobalt.
In International Conference on 3D Vision (3DV), 2019; Spotlight
[paper]
[supplement (pdf)]
[poster]
[video]
[bibtex]
FACE IT!: A Pipeline For Real-Time Performance-Driven Facial Animation.
J. M. Dı́az Barros, V. Golyanik, K. Varanasi and D. Stricker.
International Conference on Image Processing ICIP, 2019; Oral (Lecture)
[paper]
[bibtex]
IsMo-GAN: Adversarial Learning for Monocular Non-Rigid 3D Reconstruction.
S. Shimada, V. Golyanik, C. Theobalt and D. Stricker.
Computer Vision and Pattern Recognition Workshops (Photogrammetric Computer Vision Workshop), 2019; Oral
[paper]
[bibtex]
[arXiv]
[project page]
NRGA: Gravitational Approach for Non-Rigid Point Set Registration.
S. A. Ali. V. Golyanik and D. Stricker.
International Conference on 3D Vision (3DV), 2018; Oral
[paper]
[Supplementary Video (Download, YouTube)]
[poster]
[bibtex]
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model. V. Golyanik, S. Shimada, K. Varanasi and D. Stricker.
EuroVR, 2018; Oral (Long Paper)
[paper]
[HDM-Net data set]
[bibtex]
Improving Time-Of-Flight Sensor for Specular Surfaces With Shape from Polarozation.
T. Yoshida, V. Golyanik, O. Wasenmüller and D. Stricker.
International Conference on Image Processing (ICIP), 2018.
[paper]
[bibtex]
Classification of LIDAR Sensor Contaminations with Deep Neural Networks.
J. K. James, G. Puhlfürst, V. Golyanik and D. Stricker.
ACM Chapters Computer Science in Cars Symposium (CSCS), 2018; Oral
[paper]
[bibtex]
2017
Multiframe Scene Flow with Piecewise Rigid Motion. V. Golyanik, K. Kim, R. Maier, M. Nießner, D. Stricker and J. Kautz.
International Conference on 3D Vision (3DV), 2017; Spotlight Oral
[paper]
[arXiv]
[supplementary material]
[poster]
[bibtex]
Scalable Dense Monocular Surface Reconstruction.
M.D.Ansari, V. Golyanik and D. Stricker.
International Conference on 3D Vision (3DV), 2017.
[paper]
[arXiv]
[bibtex]
High-Dimensional Model for Dense Monocular Surface Recovery. V. Golyanik and D. Stricker.
International Conference on 3D Vision (3DV), 2017.
[paper]
[bibtex]
Introduction to Coherent Depth Fields for Dense Monocular Surface Recovery. V. Golyanik, T. Fetzer and D. Stricker.
British Machine Vision Conference (BMVC), 2017.
[paper]
[supplementary video]
[bibtex]
Towards Scheduling Hard Real-Time Image Processing Tasks on a Single GPU. V. Golyanik, M. Nasri and D. Stricker.
International Conference on Image Processing (ICIP), 2017.
[paper]
[bibtex]
A Framework for an Accurate Point Cloud Based Registration of Full 3D Human Body Scans. V. Golyanik, G. Reis, B. Taetz and D. Stricker.
Machine Vision Applications (MVA), 2017.
[paper]
[bibtex]
Dense Batch Non-Rigid Structure from Motion in a Second. V. Golyanik and D. Stricker.
Winter Conference on Applications of Computer Vision (WACV), 2017.
[paper]
[supplementary video]
[poster]
[bibtex]
Accurate 3D Reconstruction of Dynamic Scenes from Monocular Image Sequences with Severe Occlusions. V. Golyanik, T. Fetzer and D. Stricker.
Winter Conference on Applications of Computer Vision (WACV), 2017.
[paper]
[supplementary material]
[poster]
[arXiv]
[bibtex]
2016
NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences. V. Golyanik, A. S. Mathur and D. Stricker.
British Machine Vision Conference (BMVC), 2016.
[paper]
[extended abstract]
[poster]
[supplementary video]
[bibtex]
Joint Pre-Alignment and Robust Rigid Point Set Registration. V. Golyanik, B. Taetz and D. Stricker.
International Conference on Image Processing (ICIP), 2016.
[paper]
[bibtex]
Gravitational Approach for Point Set Registration. V. Golyanik, S. A. Ali and D. Stricker.
Computer Vision and Pattern Recognition (CVPR), 2016.
[paper]
[supplementary material]
[bibtex]
Extended Coherent Point Drift Algorithm with Correspondence Priors and Optimal Subsampling. V. Golyanik, B. Taetz, G. Reis and D. Stricker.
Winter Conference on Applications of Computer Vision (WACV), 2016.
[paper]
[poster]
[bibtex]
[WACV Talk]
Occlusion-Aware Video Registration for Highly Non-Rigid Objects.
B. Taetz, G. Bleser, V. Golyanik and D. Stricker.
Winter Conference on Applications of Computer Vision (WACV), 2016.
Best Paper Award.
[paper]
[supplementary material]
[bibtex]
[WACV Talk]
2015
Precise and Automatic Anthropometric Measurement Extraction using Template Registration.
O. Wasenmüller, J. C. Peters, V. Golyanik and D. Stricker.
International Conference on 3D Body Scanning Technologies (3DBST), 2015.
[paper]
[bibtex]
Recent Positions
since Sept.2018:
Researcher at Max Planck Institute (MPI) for Informatics
Jan.2016 - Sept.2018:
Researcher at German Center for Artificial Intelligence (DFKI), Augmented Vision Department, Kaiserslautern, Germany
Oct.2016 - April.2017:
Visiting Research Intern at NVIDIA, Santa Clara, CA, USA
March.2014 - Dec.2015:
Researcher at the University of Kaiserslautern, Department of Computer Science, Augmented Vision Lab (operated in cooperation with DFKI)