Real-time coherent diffraction inversion using deep generative networks
نویسندگان
چکیده
منابع مشابه
Optimal Real-time Landing Using Deep Networks
Optimal trajectories for spacecraft guidance, be it during orbital transfers or landing sequences are often pre-computed on ground and used as nominal desired solutions later tracked by a secondary control system. Linearization of the dynamics around such nominal profiles allows to cancel the error during the actual navigation phase when the trajectory is executed. In this study, instead, we as...
متن کاملSynthetic to Real Adaptation with Deep Generative Correlation Alignment Networks
Synthetic images rendered from 3D CAD models have been used in the past to augment training data for object recognition algorithms. However, the generated images are non-photorealistic and do not match real image statistics. This leads to a large domain discrepancy, causing models trained on synthetic data to perform poorly on real domains. Recent work has shown the great potential of deep conv...
متن کاملGenerative learning for deep networks
Learning, taking into account full distribution of the data, referred to as generative, is not feasible with deep neural networks (DNNs) because they model only the conditional distribution of the outputs given the inputs. Current solutions are either based on joint probability models facing difficult estimation problems or learn two separate networks, mapping inputs to outputs (recognition) an...
متن کاملDiffraction Specific Coherent Panoramagrams of Real Scenes
We have previously introduced the Diffraction Specific Coherent Panoramagram – a multi-view holographic stereogram that provides correct visual accommodation as well as smooth motion parallax with far fewer views than a normal stereogram. This method uses scene depth information to generate directionally-varying wavefront curvature, and can be computed at interactive rates using off-the-shelf g...
متن کاملAutomatic Colorization of Grayscale Images Using Generative Adversarial Networks
Automatic colorization of gray scale images poses a unique challenge in Information Retrieval. The goal of this field is to colorize images which have lost some color channels (such as the RGB channels or the AB channels in the LAB color space) while only having the brightness channel available, which is usually the case in a vast array of old photos and portraits. Having the ability to coloriz...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2018
ISSN: 2045-2322
DOI: 10.1038/s41598-018-34525-1