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08/15/2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Content and style (C-S) disentanglement is a fundamental problem and cri...
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03/23/2023
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
This paper presents a new adversarial training framework for image inpai...
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11/28/2022
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
Arbitrary style transfer (AST) transfers arbitrary artistic styles onto ...
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08/27/2022
AesUST: Towards Aesthetic-Enhanced Universal Style Transfer
Recent studies have shown remarkable success in universal style transfer...
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12/06/2021
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
In this paper, we present the texture reformer, a fast and universal neu...
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01/16/2021
Diversified Patch-based Style Transfer with Shifted Style Normalization
Gram-based and patch-based approaches are two important research lines o...
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08/08/2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
In this paper, we present a novel framework that can achieve multimodal ...
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09/18/2019
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
Image style transfer is an underdetermined problem, where a large number...
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11/18/2018
