Neural Style Transfer Replication Project

نویسندگان

  • Haochen Li
  • Yuyan Zhao
چکیده

There are three major advancements in the area of neural style transfer. In 2015, the paper, A neural algorithm of artistic style [2], proposes an iterative algorithm for neural style transfer. In 2016, the paper, Perceptual losses for real-time style transfer and super-resolution [3], proposes a real-time neural style transfer algorithm. However, for this algorithm, we have to train a seperate neural network for each style. In 2017, the paper, A learned representation for artistic style [1], proposes a real-time neural style transfer algorithm that can transfer a variety of styles with one neural network.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Real-time Image Style Transfer

Artistic style transfer has long been an interesting topic in computer vision research. Recently several methods for style transfer based on convolutional neural networks have been proposed. This project aims at understanding and implementing some of the existing methods. More specifically we succeed in implementing the optimization based neural algorithm as well as the real-time style transfer...

متن کامل

Unseen Style Transfer Based on a Condi- Tional Fast Style Transfer Network

In this paper, we propose a feed-forward neural style transfer network which can transfer unseen arbitrary styles. To do that, first, we extend the fast neural style transfer network proposed by Johnson et al. (2016) so that the network can learn multiple styles at the same time by adding a conditional input. We call this as “a conditional style transfer network”. Next, we add a style condition...

متن کامل

Towards Deep Style Transfer: A Content-Aware Perspective

Recently, it has been shown that one can invert a deep convolutional neural network originally trained for classification tasks to transfer image style. There is, however, a dearth of research on content-aware style transfer. In this paper, we generalize the original neural algorithm [1] for style transfer from two perspectives: where to transfer and what to transfer. To specify where to transf...

متن کامل

An Exploration of Style Transfer Using Deep Neural Networks

Convolutional Neural Networks and Graphics Processing Units have been at the core of a paradigm shift in computer vision research that some researchers have called “the algorithmic perception revolution.” This thesis presents the implementation and analysis of several techniques for performing artistic style transfer using a Convolutional Neural Network architecture trained for large-scale imag...

متن کامل

Automatic Semantic Style Transfer using Deep Convolutional Neural Networks and Soft Masks

This paper presents an automatic image synthesis method to transfer the style of an example image to a content image. When standard neural style transfer approaches are used, the textures and colours in different semantic regions of the style image are often applied inappropriately to the content image, ignoring its semantic layout, and ruining the transfer result. In order to reduce or avoid s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2018