We introduce Neural Cameras, the first approach that jointly simulates all major components of an arbitrary modern camera using neural networks.
We introduce Neural Cameras, a generic and practical solution for increasing the visual coherence in video-based MR applications. Neural Cameras learn the ...
We introduce Neural Cameras, a novel approach for coherent ren- dering in video-based MR by learning the camera characteristics. • We introduce individual ...
Coherent rendering is important for generating plausible Mixed Reality presentations of virtual objects within a user's real-world environment.
Camera Effects in Mixed Reality. • Rendering not consistent with real camera. • Missing lens effects (Depth of field). • Wrong lighting/shadows (Exposure, ...
We present Neural Bokeh, a deep learning approach for synthesizing convincing out-of-focus effects with applications in Mixed Reality (MR) image and video ...
The paper addresses the question of how neural networks can be used to translate diverse camera systems into realistic mixed reality renderings.
Best Conference Paper, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Neural Cameras: Learning Camera Characteristics for Coherent ...
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Neural cameras: Learning camera characteristics for coherent mixed reality rendering. D Mandl, PM Roth, T Langlotz, C Ebner, S Mori, S Zollmann, P Mohr ...
Real Image 100%. Deep Learning 50%. Learning Approach 50%. Low Resolution Image 50%. Neural Cameras: Learning Camera Characteristics for Coherent Mixed Reality ...