Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 33 for “"style transfer"”.
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Language style transfer
This thesis studies style transfer on the basis of non-parallel text. This is an instance of a broad family of problems including machine translation, decipherment, and attribute modication. The key challenge is to separate the content from style in an unsupervised manner. We assume a shared latent …
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Evaluating style transfer in natural language
Style transfer is an active area of research growing in popularity in the Natural Language setting. The goal of this thesis is present a comprehensive review of style transfer tasks used to date, analyze these tasks, and delineate important properties and candidate tasks for future methods …
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Improvement and measurement of neural style transfer
Style transfer methods produce a transferred image which is a rendering of a content image in the manner of a style image. There is a rich literature of variant methods. We seek to understand how to improve style transfer: in particular, there is some evidence that cross-layer losses are helpful, …
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Neural style transfer for images, videos and reliefs.
… of subjective and objective world, and their style representations can be inspired from other art- works and followed by other people. To grasp the spirit and styles from artworks, followers have to practice for years even for professional artists. In the past two decades, researchers in …
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Three-Dimensional Voxel-Based Neural Style Transfer and Quantification
… they also generate visual art. Here, Neural Style Transfer stylizes images and photographs with a style extracted from an arbitrary image, creating novel images of a quality hardly separatable from actual human creations. However, Neural Style Transfer had not been applied in a 3D context.<br …
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Formality Style Transfer Within and Across Languages with Limited Supervision
… focuses on analyzing language content, language style also conveys important information about the situational context and purpose of communication. When editing an article, professional editors take into account the target audience to select appropriate word choice and grammar. Similarly, …
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Procedural terrain generation: noise functions, modern methods, and style transfer
… terrain without the aid of post-processing. Style transfer stands out as a modern method that strikes a balance between speed and realism. One method of style transfer was re-implemented, and steps were taken to alter the results of the generated heightmaps in ways that would reduce …
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Novel feature construction technique for detecting anomalous faces and evaluating style transfer methods
… domain problems – Anomaly Detection and Style Transfer. We present feature aggregation techniques and also quantitative evaluation procedure for these tasks. For anomaly detection, we propose a novel facial anomaly detection task, where we demonstrate a feature extraction procedure using …
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Empathetic Text Style Transfer Layer for Conversational Agents a modular architecture and new resource for the italian language
… a modular framework based on an Empathetic Text Style Transfer. This architectural paradigm decouples the generation of empathetic expression from the underlying dialogic and domain‐expert components, enabling the enhancement of pre‐existing conversational agent infrastructures without modifying …
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Evaluating style modification in text
… we identify best practices for evaluating style modification, or style transfer, for text. Research of style transfer is bottlenecked by a lack of standard evaluation practices. We define three key aspects of interest (style transfer intensity, content preservation, and naturalness) and …
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Controlling Directions Orthogonal to a Classifier
… directions can be controlled in tasks such as style transfer. While orthogonal decomposition is directly identifiable when the given classifier is linear, we formally define a notion of orthogonality in the non-linear case. We also provide a surprisingly simple method for constructing the …
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Improving utilization, granularity, and interpretability in visual representation learning
… vision. The first work is about improving style transfer, which is a generative artistic method that leverages pretrained deep model features. Style transfer boils down to a distribution matching problem, where the generated image must match the feature distribution of the style image …
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Controlling Neural Language Generation
… ancient text restoration, and sentiment transfer. Next, we investigate text autoencoders and their use to control generation through latent space operations. We establish a theory on how to mold a meaningful latent space geometry for discrete text data. Building on this, we develop a …
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Exploring Knowledge Transfer with Deep Learning
… discuss my contributions in exploring knowledge transfer utilizing deep learning methodologies in various applications.The dissertation first focuses on disentangled representation learning and its applications on voice style transfer. I will present a zero-shot voice style transfer model, which …
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Speaker Anonymization using End-to-End Zero-Shot Voice Conversion
… speech very well while also achieving good voice style transfer performance---an improvement over current state-of-the-art VC models, which exhibit a trade-off between audio quality and accurate voice style transfer. Next, we present a method for extending targeted voice conversion to un-targeted …
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Deep generative models for speech editing
… the last two projects modify different speaking styles by modeling different speech components using autoencoders. Multi-channel speech enhancement with ad-hoc sensors has been a challenging task. Speech model guided beamforming algorithms can recover natural-sounding speech, but the speech …
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Paper Dreams : an adaptive drawing canvas supported by machine learning
… learning models. By using sketch recognition, style transfer, and natural language processing, the system can contextualize what the user is drawing; it then can color the sketch appropriately, suggest related objects for the user to draw, and allow the user to pull from a database of related …
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Deep representation learning for cancer transcriptomics: towards robust models for heterogeneous data
… extensions to DeepRENEW inspired by neural style transfer. We consider a number of different methods to explicitly model transitions between preservation modalities, offering valuable methodological insights into cancer transcriptomic transfer learning, despite not finding a method that …
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Representation learning of natural language and its application to language understanding and generation
… and language generation such as text style transfer.
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Machine learning methodologies for high dimensional biomedical & bioinformatics applications
… we propose a novel implementation of the neural style transfer algorithm as an image preprocessing and registration method for skin lesion classification problems. For the third project on microbiome analysis, we discuss two works that have been done. First, we propose an analysis pipeline that …
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