Using colorization as a tool for automatic makeup suggestion

06/18/2019
by   Shreyank Narayana Gowda, et al.
7

Colorization is the method of converting an image in grayscale to a fully color image. There are multiple methods to do the same. Old school methods used machine learning algorithms and optimization techniques to suggest possible colors to use. With advances in the field of deep learning, colorization results have improved consistently with improvements in deep learning architectures. The latest development in the field of deep learning is the emergence of generative adversarial networks (GANs) which is used to generate information and not just predict or classify. As part of this report, 2 architectures of recent papers are reproduced along with a novel architecture being suggested for general colorization. Following this, we propose the use of colorization by generating makeup suggestions automatically on a face. To do this, a dataset consisting of 1000 images has been created. When an image of a person without makeup is sent to the model, the model first converts the image to grayscale and then passes it through the suggested GAN model. The output is a generated makeup suggestion. To develop this model, we need to tweak the general colorization model to deal only with faces of people.

READ FULL TEXT

Authors

page 5

page 6

page 8

page 9

page 10

05/10/2021

Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey Evaluation

Despite the recency of their conception, Generative Adversarial Networks...
03/25/2019

MeshGAN: Non-linear 3D Morphable Models of Faces

Generative Adversarial Networks (GANs) are currently the method of choic...
05/17/2016

Generative Adversarial Text to Image Synthesis

Automatic synthesis of realistic images from text would be interesting a...
09/03/2020

Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report

Age related macular degeneration (AMD) is one of the major causes for bl...
02/09/2019

Improving Deep Image Clustering With Spatial Transformer Layers

Image clustering is an important but challenging task in machine learnin...
05/21/2021

Embracing New Techniques in Deep Learning for Estimating Image Memorability

Various work has suggested that the memorability of an image is consiste...
01/29/2020

Just Noticeable Difference for Machines to Generate Adversarial Images

One way of designing a robust machine learning algorithm is to generate ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.