Single MR Image Super-Resolution using Generative Adversarial Network

1 code implementation • 16 Jul 2022 • Shawkh Ibne Rashid, Elham Shakibapour, Mehran Ebrahimi

Spatial resolution of medical images can be improved using super-resolution methods.

Brain Tumor Segmentation Generative Adversarial Network +3

Multi-Modality Image Inpainting using Generative Adversarial Networks

1 code implementation • 18 Jun 2022 • Aref Abedjooy, Mehran Ebrahimi

Deep learning techniques, especially Generative Adversarial Networks (GANs) have significantly improved image inpainting and image-to-image translation tasks over the past few years.

Image Inpainting Image-to-Image Translation +1

Multi-Modality Image Super-Resolution using Generative Adversarial Networks

1 code implementation • 18 Jun 2022 • Aref Abedjooy, Mehran Ebrahimi

Over the past few years deep learning-based techniques such as Generative Adversarial Networks (GANs) have significantly improved solutions to image super-resolution and image-to-image translation problems.

Image Super-Resolution Image-to-Image Translation +1

Deep Learning-Based MR Image Re-parameterization

1 code implementation • 11 Jun 2022 • Abhijeet Narang, Abhigyan Raj, Mihaela Pop, Mehran Ebrahimi

Thus, using MR image re-parameterization to predict and estimate the contrast in these imaging scans can be an effective alternative.

Artist-Guided Semiautomatic Animation Colorization

no code implementations • 22 Jun 2020 • Harrish Thasarathan, Mehran Ebrahimi

There is a delicate balance between automating repetitive work in creative domains while staying true to an artist's vision.

Line Art Colorization

Edge-Informed Single Image Super-Resolution

2 code implementations • 11 Sep 2019 • Kamyar Nazeri, Harrish Thasarathan, Mehran Ebrahimi

We use a two-stage inpainting model as a baseline for super-resolution and show its effectiveness for different scale factors (x2, x4, x8) compared to basic interpolation schemes.

Image Inpainting Image Super-Resolution

Automatic Temporally Coherent Video Colorization

3 code implementations • 21 Apr 2019 • Harrish Thasarathan, Kamyar Nazeri, Mehran Ebrahimi

This paper proposes a method to colorize line art frames in an adversarial setting, to create temporally coherent video of large anime by improving existing image to image translation methods.

Colorization Image Colorization +3

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

20 code implementations • 1 Jan 2019 • Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi

The edge generator hallucinates edges of the missing region (both regular and irregular) of the image, and the image completion network fills in the missing regions using hallucinated edges as a priori.

Image Inpainting

Image Colorization with Generative Adversarial Networks

7 code implementations • 14 Mar 2018 • Kamyar Nazeri, Eric Ng, Mehran Ebrahimi

Over the last decade, the process of automatic image colorization has been of significant interest for several application areas including restoration of aged or degraded images.

Colorization Generative Adversarial Network +1

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification

1 code implementation • 11 Mar 2018 • Kamyar Nazeri, Azad Aminpour, Mehran Ebrahimi

This paper explores the problem of breast tissue classification of microscopy images.

Breast Cancer Histology Image Classification Classification +3