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pro vyhledávání: '"Kappel, Moritz"'
Autor:
Hahlbohm, Florian, Friederichs, Fabian, Weyrich, Tim, Franke, Linus, Kappel, Moritz, Castillo, Susana, Stamminger, Marc, Eisemann, Martin, Magnor, Marcus
3D Gaussian Splats (3DGS) have proven a versatile rendering primitive, both for inverse rendering as well as real-time exploration of scenes. In these applications, coherence across camera frames and multiple views is crucial, be it for robust conver
Externí odkaz:
http://arxiv.org/abs/2410.08129
Autor:
Kappel, Moritz, Hahlbohm, Florian, Scholz, Timon, Castillo, Susana, Theobalt, Christian, Eisemann, Martin, Golyanik, Vladislav, Magnor, Marcus
Dynamic reconstruction and spatiotemporal novel-view synthesis of non-rigidly deforming scenes recently gained increased attention. While existing work achieves impressive quality and performance on multi-view or teleporting camera setups, most metho
Externí odkaz:
http://arxiv.org/abs/2406.10078
Autor:
Hahlbohm, Florian, Franke, Linus, Kappel, Moritz, Castillo, Susana, Stamminger, Marc, Magnor, Marcus
We introduce a new approach for reconstruction and novel-view synthesis of unbounded real-world scenes. In contrast to previous methods using either volumetric fields, grid-based models, or discrete point cloud proxies, we propose a hybrid scene repr
Externí odkaz:
http://arxiv.org/abs/2403.16862
The reconstruction and novel view synthesis of dynamic scenes recently gained increased attention. As reconstruction from large-scale multi-view data involves immense memory and computational requirements, recent benchmark datasets provide collection
Externí odkaz:
http://arxiv.org/abs/2212.01368
This paper deals with the highly challenging problem of reconstructing the shape of a refracting object from a single image of its resulting caustic. Due to the ubiquity of transparent refracting objects in everyday life, reconstruction of their shap
Externí odkaz:
http://arxiv.org/abs/2112.06705
Autor:
Kappel, Moritz, Golyanik, Vladislav, Elgharib, Mohamed, Henningson, Jann-Ole, Seidel, Hans-Peter, Castillo, Susana, Theobalt, Christian, Magnor, Marcus
Video-based human motion transfer creates video animations of humans following a source motion. Current methods show remarkable results for tightly-clad subjects. However, the lack of temporally consistent handling of plausible clothing dynamics, inc
Externí odkaz:
http://arxiv.org/abs/2012.10974
Autor:
Mühlhausen, Moritz1 (AUTHOR) muehlhausen@cg.cs.tu-bs.de, Kappel, Moritz1 (AUTHOR) kappel@cg.cs.tu-bs.de, Kassubeck, Marc1 (AUTHOR) kassubeck@cg.cs.tu-bs.de, Wöhler, Leslie1 (AUTHOR) woehler@cg.cs.tu-bs.de, Grogorick, Steve1 (AUTHOR) grogorick@cg.cs.tu-bs.de, Castillo, Susana1 (AUTHOR) castillo@cg.cs.tu-bs.de, Eisemann, Martin1 (AUTHOR) eisemann@cg.cs.tu-bs.de, Magnor, Marcus1 (AUTHOR) magnor@cg.cs.tu-bs.de
Publikováno v:
Computer Graphics Forum. Sep2023, Vol. 42 Issue 6, p1-13. 13p. 6 Color Photographs, 3 Diagrams, 1 Chart.
Akademický článek
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Publikováno v:
IEEE transactions on visualization and computer graphics [IEEE Trans Vis Comput Graph] 2024 Feb 20; Vol. PP. Date of Electronic Publication: 2024 Feb 20.