1.2k citations · 1.5k across the 13 of their papers we have counts for
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Burst Denoising with Kernel Prediction Networks
Ben Mildenhall, Jonathan T. Barron, Jiawen Chen +3
We present a technique for jointly denoising bursts of images taken from a handheld camera. In particular, we propose a convolutional neural network architecture for predicting spa…
Aperture Supervision for Monocular Depth Estimation
Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa +2
We present a novel method to train machine learning algorithms to estimate scene depths from a single image, by using the information provided by a camera's aperture as supervision…
DiffuserCam: Lensless Single-exposure 3D Imaging
Nick Antipa, Grace Kuo, Reinhard Heckel +4
We demonstrate a compact and easy-to-build computational camera for single-shot 3D imaging. Our lensless system consists solely of a diffuser placed in front of a standard image se…
Learning to Synthesize a 4D RGBD Light Field from a Single Image
Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal +2
We present a machine learning algorithm that takes as input a 2D RGB image and synthesizes a 4D RGBD light field (color and depth of the scene in each ray direction). For training,…
Light Field Blind Motion Deblurring
Pratul P. Srinivasan, Ren Ng, Ravi Ramamoorthi
We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion and present both theoretical and practical contributions. By analyzing the moti…