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Found 11 papers, 8 papers with code
$\text{DC}^2$: Dual-Camera Defocus Control by Learning to Refocus
Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements.
DC2: Dual-Camera Defocus Control by Learning To Refocus
Smartphone cameras today are increasingly approaching the versatility and quality of professional cameras through a combination of hardware and software advancements.
Day-to-Night Image Synthesis for Training Nighttime Neural ISPs
Training nightmode ISP networks relies on large-scale datasets of image pairs with: (1) a noisy raw image captured with a short exposure and a high ISO gain; and (2) a ground truth low-noise raw image captured with a long exposure and low ISO that has been rendered through the ISP.
Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels
In this work, we follow the trend of rendering the NIMAT effect by introducing a modification on the blur synthesis procedure in portrait mode.
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network's ability to learn to deblur the image.
CAMS: Color-Aware Multi-Style Transfer
A nice feature of our method is that it enables the users to manually select the color associations between the target style and content image for more transfer flexibility.
Semi-Supervised Raw-to-Raw Mapping
This paper focuses on the task of mapping between different sensor raw-RGB color spaces.
Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data
Leveraging these realistic synthetic DP images, we introduce a recurrent convolutional network (RCN) architecture that improves deblurring results and is suitable for use with single-frame and multi-frame data (e. g., video) captured by DP sensors.
Ranked #13 on
Image Defocus Deblurring
on DPD (Dual-view)
(using extra training data)
CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks
Because of this, a number of methods have been proposed to "unprocess" nonlinear images back to a raw-RGB state.
Defocus Deblurring Using Dual-Pixel Data
DP sensors are used to assist a camera's auto-focus by capturing two sub-aperture views of the scene in a single image shot.
Ranked #9 on
Image Defocus Deblurring
on DPD
Revisiting Autofocus for Smartphone Cameras
The fact that different objectives exist raises the research question of whether there is a preferred objective.
