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pro vyhledávání: '"Fischer, Michael P."'
Autor:
Fischer, Michael, Li, Zhengqin, Nguyen-Phuoc, Thu, Bozic, Aljaz, Dong, Zhao, Marshall, Carl, Ritschel, Tobias
A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and appearance of a scene. We here ask the question whether we can transfer the appearance from a source NeRF onto a target 3D geometry in a semantically meaningful way, such
Externí odkaz:
http://arxiv.org/abs/2402.08622
Bounding volumes are an established concept in computer graphics and vision tasks but have seen little change since their early inception. In this work, we study the use of neural networks as bounding volumes. Our key observation is that bounding, wh
Externí odkaz:
http://arxiv.org/abs/2310.06822
Autor:
Fischer, Michael, Ritschel, Tobias
Gradient-based optimization is now ubiquitous across graphics, but unfortunately can not be applied to problems with undefined or zero gradients. To circumvent this issue, the loss function can be manually replaced by a ``surrogate'' that has similar
Externí odkaz:
http://arxiv.org/abs/2308.05739
Repulsion between individuals within a finite radius is encountered in numerous applications, including cell exclusion, i.e. avoidance of overlapping cells, bird flocks, or microscopic pedestrian models. We define such individual based particle dynam
Externí odkaz:
http://arxiv.org/abs/2302.12099
Autor:
Fischer, Michael, Ritschel, Tobias
Current differentiable renderers provide light transport gradients with respect to arbitrary scene parameters. However, the mere existence of these gradients does not guarantee useful update steps in an optimization. Instead, inverse rendering might
Externí odkaz:
http://arxiv.org/abs/2211.17263
Autor:
Zibrowius, Bodo, Fischer, Michael
The quadrupole coupling constant $C_Q$ and the asymmetry parameter $\eta$ have been determined for two complex aluminium hydrides from $^{27}$Al NMR spectra recorded for stationary samples by using the Solomon echo sequence. The thus obtained data fo
Externí odkaz:
http://arxiv.org/abs/2211.01039
We propose a method to accelerate the joint process of physically acquiring and learning neural Bi-directional Reflectance Distribution Function (BRDF) models. While BRDF learning alone can be accelerated by meta-learning, acquisition remains slow as
Externí odkaz:
http://arxiv.org/abs/2210.03510
Autor:
Chen, Qi-Ming, Fischer, Michael, Nojiri, Yuki, Renger, Michael, Xie, Edwar, Partanen, Matti, Pogorzalek, Stefan, Fedorov, Kirill G., Marx, Achim, Deppe, Frank, Gross, Rudolf
Understanding the non-deterministic behavior of deterministic nonlinear systems has been an implicit dream since Lorenz named it the "butterfly effect". A prominent example is the hysteresis and bistability of the Duffing oscillator, which in the cla
Externí odkaz:
http://arxiv.org/abs/2206.06338
Autor:
Fischer, Michael, Ritschel, Tobias
There currently exist two main approaches to reproducing visual appearance using Machine Learning (ML): The first is training models that generalize over different instances of a problem, e.g., different images of a dataset. As one-shot approaches, t
Externí odkaz:
http://arxiv.org/abs/2204.08993
Publikováno v:
ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions; 2020; pages 357-362
Fully- or semi-automatic image enhancement software helps users to increase the visual appeal of photos and does not require in-depth knowledge of manual image editing. However, fully-automatic approaches usually enhance the image in a black-box mann
Externí odkaz:
http://arxiv.org/abs/2012.01778