AIM 2020 challenge on rendering realistic bokeh
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides
the description of the proposed solutions and results. The participating teams were solving a …
the description of the proposed solutions and results. The participating teams were solving a …
Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report
We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed
solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge …
solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge …
Bokehme: When neural rendering meets classical rendering
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 …
with a classical physically motivated renderer. Given a single image and a potentially …
Dof-nerf: Depth-of-field meets neural radiance fields
Neural Radiance Field (NeRF) and its variants have exhibited great success on
representing 3D scenes and synthesizing photo-realistic novel views. However, they are …
representing 3D scenes and synthesizing photo-realistic novel views. However, they are …
The entoptic field camera as metaphor-driven research-through-design with AI technologies
JJ Benjamin, H Biggs, A Berger, J Rukanskaitė… - Proceedings of the …, 2023 - dl.acm.org
Artificial intelligence (AI) technologies are widely deployed in smartphone photography; and
prompt-based image synthesis models have rapidly become commonplace. In this paper …
prompt-based image synthesis models have rapidly become commonplace. In this paper …
Efficient multi-lens bokeh effect rendering and transformation
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 …
cameras. Great progress was shown over the last years in optimizing the sharp regions of an …
Constrained predictive filters for single image bokeh rendering
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 …
regions of interest. Due to limitations in hardware and shooting condition, rendering a bokeh …
Depth-guided deep filtering network for efficient single image bokeh rendering
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 …
sensors, cameras on smartphones are less sensitive to the depth information and cannot …
Ar-nerf: Unsupervised learning of depth and defocus effects from natural images with aperture rendering neural radiance fields
T Kaneko - Proceedings of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Fully unsupervised 3D representation learning has gained attention owing to its advantages
in data collection. A successful approach involves a viewpoint-aware approach that learns …
in data collection. A successful approach involves a viewpoint-aware approach that learns …
Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors
We consider the problem of realistic bokeh rendering from a single all-in-focus image.
Bokeh rendering mimics aesthetic shallow depth-of-field (DoF) in professional photography …
Bokeh rendering mimics aesthetic shallow depth-of-field (DoF) in professional photography …