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Image Imputation

4 papers with code · Computer Vision

Image imputation is the task of creating plausible images from low-resolution images or images with missing data.

( Image credit: NASA )

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Greatest papers with code

Reconstructing Video from Interferometric Measurements of Time-Varying Sources

3 Nov 2017achael/eht-imaging

Most recently, the Event Horizon Telescope (EHT) has extended VLBI to short millimeter wavelengths with a goal of achieving angular resolution sufficient for imaging the event horizons of nearby supermassive black holes.

IMAGE IMPUTATION RADIO INTERFEROMETRY

Medical Image Imputation from Image Collections

17 Aug 2018adalca/papago

We present an algorithm for creating high resolution anatomically plausible images consistent with acquired clinical brain MRI scans with large inter-slice spacing.

IMAGE IMPUTATION IMPUTATION SUPER-RESOLUTION

Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN

10 May 2019jongcye/CollaGAN_MRI

Thanks to the recent success of generative adversarial network (GAN) for image synthesis, there are many exciting GAN approaches that successfully synthesize MR image contrast from other images with different contrasts.

IMAGE GENERATION IMAGE IMPUTATION IMPUTATION

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces

17 May 2019Salazar-99/Learning-State-Space-Models

In order to integrate uncertainty estimates into deep time-series modelling, Kalman Filters (KFs) (Kalman et al., 1960) have been integrated with deep learning models, however, such approaches typically rely on approximate inference techniques such as variational inference which makes learning more complex and often less scalable due to approximation errors.

IMAGE IMPUTATION IMPUTATION TIME SERIES