research
∙
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...
share
research
∙
11/28/2022
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
Arbitrary style transfer (AST) transfers arbitrary artistic styles onto ...
research
∙
08/27/2022
AesUST: Towards Aesthetic-Enhanced Universal Style Transfer
Recent studies have shown remarkable success in universal style transfer...
research
∙
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...
research
∙
01/16/2021
Diversified Patch-based Style Transfer with Shifted Style Normalization
Gram-based and patch-based approaches are two important research lines o...
research
∙
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 ...
research
∙
01/21/2019
