Publications (7)
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
Harshil Bhatia, Edith Tretschk, Zorah Lähner +4
Jointly matching multiple, non-rigidly deformed 3D shapes is a challenging, -hard problem. A perfect matching is necessarily cycle-consistent: Following the pairwise…
3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds
Lakshika Rathi, Edith Tretschk, Christian Theobalt +2
Existing methods for learning 3D representations are deep neural networks trained and tested on classical hardware. Quantum machine learning architectures, despite their theoretica…
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
Edith Tretschk, Navami Kairanda, Mallikarjun B R +7
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.…
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
Edith Tretschk, Vladislav Golyanik, Michael Zollhoefer +3
Existing methods for the 4D reconstruction of general, non-rigidly deforming objects focus on novel-view synthesis and neglect correspondences. However, time consistency enables ad…
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk +3
Modern quantum annealers can find high-quality solutions to combinatorial optimisation objectives given as quadratic unconstrained binary optimisation (QUBO) problems. Unfortunatel…
DGH: Dynamic Gaussian Hair
Junying Wang, Yuanlu Xu, Edith Tretschk +5
The creation of photorealistic dynamic hair remains a major challenge in digital human modeling because of the complex motions, occlusions, and light scattering. Existing methods o…
Ï-SfT: Shape-from-Template with a Physics-Based Deformation Model
Navami Kairanda, Edith Tretschk, Mohamed Elgharib +2
Shape-from-Template (SfT) methods estimate 3D surface deformations from a single monocular RGB camera while assuming a 3D state known in advance (a template). This is an important…