We propose BokehMe, a hybrid bokeh rendering framework that marries a neural renderer
with a classical physically motivated renderer. Given a single image and a potentially …

Neural Radiance Field (NeRF) and its variants have exhibited great success on
representing 3D scenes and synthesizing photo-realistic novel views. However, they are …

Many advancements of mobile cameras aim to reach the visual quality of professional DSLR
cameras. Great progress was shown over the last years in optimizing the sharp regions of an …

Bokeh rendering is a technique used to take pictures with out-of-focus areas to highlight
regions of interest. Due to limitations in hardware and shooting condition, rendering a bokeh …

Bokeh effect is usually used to highlight major contents in an image. Limited by the small
sensors, cameras on smartphones are less sensitive to the depth information and cannot …

Bokeh effect transformation is a novel task in computer vision and computational
photography. It aims to convert bokeh effects from one camera lens to another. To this end …

Bokeh effect is an optical phenomenon that offers a pleasant visual experience, typically
generated by high-end cameras with wide aperture lenses. The task of bokeh effect …

As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of
interest is now devoted to deep learning-based solutions for this task. In this Mobile AI …

Partial occlusion effects are a phenomenon that blurry objects near a camera are semi-
transparent, resulting in partial appearance of occluded background. However, it is …

In this paper, we tackle the problem of monocular bokeh synthesis, where we attempt to
render a shallow depth of field image from a single all-in-focus image. Unlike in DSLR …