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Image Reconstruction

61 papers with code · Computer Vision

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Unsupervised Monocular Depth Estimation with Left-Right Consistency

CVPR 2017 mrharicot/monodepth

Learning based methods have shown very promising results for the task of depth estimation in single images.

IMAGE RECONSTRUCTION REGRESSION

PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain

arXiv 2019 youyuge34/PI-REC

We propose a universal image reconstruction method to represent detailed images purely from binary sparse edge and flat color domain.

IMAGE RECONSTRUCTION IMAGE-TO-IMAGE TRANSLATION

Generative Adversarial Network in Medical Imaging: A Review

19 Sep 2018xinario/awesome-gan-for-medical-imaging

Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the probability density function.

DATA AUGMENTATION DOMAIN ADAPTATION IMAGE RECONSTRUCTION IMAGE-TO-IMAGE TRANSLATION MEDICAL IMAGE GENERATION

GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

CVPR 2018 yzcjtr/GeoNet

We propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and ego-motion estimation from videos.

IMAGE RECONSTRUCTION MOTION ESTIMATION OPTICAL FLOW ESTIMATION

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

18 Jul 2017jiny2001/dcscn-super-resolution

A combination of Deep CNNs and Skip connection layers is used as a feature extractor for image features on both local and global area.

IMAGE RECONSTRUCTION IMAGE SUPER-RESOLUTION

Universal Style Transfer via Feature Transforms

NeurIPS 2017 Yijunmaverick/UniversalStyleTransfer

The whitening and coloring transforms reflect a direct matching of feature covariance of the content image to a given style image, which shares similar spirits with the optimization of Gram matrix based cost in neural style transfer.

IMAGE RECONSTRUCTION STYLE TRANSFER

gvnn: Neural Network Library for Geometric Computer Vision

25 Jul 2016ankurhanda/gvnn

We introduce gvnn, a neural network library in Torch aimed towards bridging the gap between classic geometric computer vision and deep learning.

IMAGE RECONSTRUCTION VISUAL ODOMETRY

HDR image reconstruction from a single exposure using deep CNNs

20 Oct 2017gabrieleilertsen/hdrcnn

We demonstrate that our approach can reconstruct high-resolution visually convincing HDR results in a wide range of situations, and that it generalizes well to reconstruction of images captured with arbitrary and low-end cameras that use unknown camera response functions and post-processing.

IMAGE RECONSTRUCTION

Implicit Generation and Generalization in Energy-Based Models

20 Mar 2019openai/ebm_code_release

Energy based models (EBMs) are appealing due to their generality and simplicity in likelihood modeling, but have been traditionally difficult to train.

IMAGE RECONSTRUCTION