no code implementations • 9 Nov 2023 • Lakshika Rathi, Edith Tretschk, Christian Theobalt, Rishabh Dabral, Vladislav Golyanik
It is trained on collections of 3D point clouds to produce their compressed representations.
no code implementations • 16 Aug 2023 • Edith Tretschk, Vladislav Golyanik, Michael Zollhoefer, Aljaz Bozic, Christoph Lassner, Christian Theobalt
We propose SceNeRFlow to reconstruct a general, non-rigid scene in a time-consistent manner.
no code implementations • CVPR 2023 • Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik
Jointly matching multiple, non-rigidly deformed 3D shapes is a challenging, $\mathcal{NP}$-hard problem.
no code implementations • 27 Oct 2022 • Edith Tretschk, Navami Kairanda, Mallikarjun B R, Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
3D reconstruction of deformable (or non-rigid) scenes from a set of monocular 2D image observations is a long-standing and actively researched area of computer vision and graphics.
no code implementations • 13 Oct 2022 • Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
As a result, the solution encodings can be chosen flexibly and compactly.
no code implementations • 22 Mar 2022 • Navami Kairanda, Edith Tretschk, Mohamed Elgharib, Christian Theobalt, Vladislav Golyanik
In contrast to previous works, this paper proposes a new SfT approach explaining 2D observations through physical simulations accounting for forces and material properties.
no code implementations • CVPR 2022 • Navami Kairanda, Edith Tretschk, Mohamed Elgharib, Christian Theobalt, Vladislav Golyanik
In contrast to previous works, this paper proposes a new SfT approach explaining 2D observations through physical simulations accounting for forces and material properties.