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Music performance style transfer for learning expressive musical performance
Generating expressive musical performance (EMP) is a hot issue in the field of music generation. Music played by humans is always more expressive...
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Memory-enhanced text style transfer with dynamic style learning and calibration
Text style transfer aims to rephrase a sentence to match the desired style while retaining the original content. As a controllable text generation...
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Arbitrary style transfer via content consistency and style consistency
Arbitrary style transfer is an interesting and challenging technique. In the testing phase, it needs to adaptively fuse content images and style...
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Multimodal dance style transfer
This paper first presents CycleDance, a novel dance style transfer system that transforms an existing motion clip in one dance style into a motion...
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Controlling strokes in fast neural style transfer using content transforms
Fast style transfer methods have recently gained popularity in art-related applications as they make a generalized real-time stylization of images...
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Application of multi-level adaptive neural network based on optimization algorithm in image style transfer
Arbitrary image style transfer is the process of inputting any set of images to generate images with a certain artistic style. Aiming at the problem...
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Hairstyle-and-identity-aware facial image style transfer with region-guiding masks
Face style transfer aims to transfer parts of appearance features from a reference to a source face and to keep the important characteristics of the...
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Towards harmonized regional style transfer and manipulation for facial images
Regional facial image synthesis conditioned on a semantic mask has achieved great attention in the field of computational visual media. However, the...
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Correlation-based and content-enhanced network for video style transfer
Artistic style transfer aims to migrate the style pattern from a referenced style image to a given content image, which has achieved significant...
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Text style transfer between classical and modern chinese through prompt-based reinforcement learning
Text style transfer aims at converting the stylistic features of a sentence to another style while preserving its content. Despite the remarkable...
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Style transfer with target feature palette and attention coloring
Style transfer has attracted a lot of attentions, as it can change a given image into one with splendid artistic styles while preserving the image...
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Neural style transfer generative adversarial network (NST-GAN) for facial expression recognition
With the increasing number of intelligent human–computer systems, more and more research is focusing on human emotion recognition. Facial expressions...
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Expressive and Controllable TTS
Expressive and controllable TTS covers broad topics including modeling, disentangling, controlling, and transferring the content, timbre, prosody,...
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Progressive Attentional Manifold Alignment for Arbitrary Style Transfer
Arbitrary style transfer algorithms can generate stylization results with arbitrary content-style image pairs but will distort content structures and...
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Efficient photorealistic style transfer with multi-order image statistics
Photorealistic style transfer concerns rendering the style of a reference image to a content image with the restraint that the stylized image should...
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Diffusion-Based Approach to Style Modeling in Expressive TTS
In this article, we propose an aggregation of denoising diffusion probabilistic models (DDPMs) onto an end-to-end text-to-speech system to learn a...
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Deep Network-Based Computational Transfer of Artistic Style in Art Analysis
Some of the most successful computational approaches to the analysis of natural photographs and videos are based on deep neural networks trained with...
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Multi-speaker Multi-style Speech Synthesis with Timbre and Style Disentanglement
Disentanglement of a speaker’s timbre and style is very important for style transfer in multi-speaker multi-style text-to-speech (TTS) scenarios....
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Style spectroscope: improve interpretability and controllability through Fourier analysis
Universal style transfer (UST) infuses styles from arbitrary reference images into content images. Existing methods, while enjoying many practical...
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Style-conditioned music generation with Transformer-GANs
Recently, various algorithms have been developed for generating appealing music. However, the style control in the generation process has been...