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Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift
In order to work with wide-baseline light fields, we introduce the idea of EPI-Shift: To virtually shift the light field stack which enables to retain a small receptive field, independent of the disparity range.
Neural Head Avatars from Monocular RGB Videos
We present Neural Head Avatars, a novel neural representation that explicitly models the surface geometry and appearance of an animatable human avatar that can be used for teleconferencing in AR/VR or other applications in the movie or games industry that rely on a digital human.
Towards Multimodal Depth Estimation from Light Fields
We argue that this is due current methods only considering a single "true" depth, even when multiple objects at different depths contributed to the color of a single pixel.
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