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Style transfer is the task of changing the style of an image in one domain to the style of an image in another domain.

( Image credit: A Neural Algorithm of Artistic Style )

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Latest papers without code

MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE

10 May 2021

Transformers and variational autoencoders (VAE) have been extensively employed for symbolic (e. g., MIDI) domain music generation.

MUSIC GENERATION MUSIC STYLE TRANSFER STYLE TRANSFER

A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations

6 May 2021

We show the superiority of this method on fair classification and on textual style transfer tasks.

STYLE TRANSFER

Attention-based Stylisation for Exemplar Image Colourisation

4 May 2021

Stylised outputs are then obtained by computing similarities between both feature representations in order to transfer the style of the reference to the content of the target input.

STYLE TRANSFER

Exemplar-Based 3D Portrait Stylization

29 Apr 2021

In the second texture style transfer stage, we focus on performing style transfer on the canonical texture by adopting a differentiable renderer to optimize the texture in a multi-view framework.

STYLE TRANSFER

SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer

27 Apr 2021

Moreover, to alleviate the conflict between the targets of the conventional denoising procedure and the style transfer task, we propose another novel style denoising mechanism, which is more compatible with the target of the style transfer task.

DENOISING STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED TEXT STYLE TRANSFER

Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks

26 Apr 2021

We present a framework for conducting model extraction attacks against image translation models, and show that the adversary can successfully extract functional surrogate models.

IMAGE CLASSIFICATION MODEL EXTRACTION SSIM STYLE TRANSFER SUPER-RESOLUTION

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer

18 Apr 2021

Neural Style Transfer (NST) has quickly evolved from single-style to infinite-style models, also known as Arbitrary Style Transfer (AST).

STYLE TRANSFER

ScreenSeg: On-Device Screenshot Layout Analysis

16 Apr 2021

We propose a novel end-to-end solution that performs a Hierarchical Layout Analysis of screenshots and document images on resource constrained devices like mobilephones.

IMAGE RETRIEVAL STYLE TRANSFER

Towards Multi-Scale Style Control for Expressive Speech Synthesis

8 Apr 2021

This paper introduces a multi-scale speech style modeling method for end-to-end expressive speech synthesis.

EXPRESSIVE SPEECH SYNTHESIS STYLE TRANSFER

Rethinking and Improving the Robustness of Image Style Transfer

8 Apr 2021

Extensive research in neural style transfer methods has shown that the correlation between features extracted by a pre-trained VGG network has a remarkable ability to capture the visual style of an image.

STYLE TRANSFER