| Uctgan: Diverse image inpainting based on unsupervised cross-space translation L Zhao, Q Mo, S Lin, Z Wang, Z Zuo, H Chen, W Xing, D Lu CVPR 2020, 2020 | 199 | 2020 |
| Artistic style transfer with internal-external learning and contrastive learning H Chen, Z Wang, H Zhang, Z Zuo, A Li, W Xing, D Lu NeurIPS 2021, 2021 | 115 | 2021 |
| Diversified arbitrary style transfer via deep feature perturbation Z Wang, L Zhao, H Chen, L Qiu, Q Mo, S Lin, W Xing, D Lu CVPR 2020, 2020 | 103 | 2020 |
| Dualast: Dual style-learning networks for artistic style transfer H Chen, L Zhao, Z Wang, H Zhang, Z Zuo, A Li, W Xing, D Lu CVPR 2021, 2021 | 63 | 2021 |
| Diverse image style transfer via invertible cross-space mapping H Chen, L Zhao, H Zhang, Z Wang, Z Zuo, A Li, W Xing, D Lu ICCV 2021, 2021 | 39 | 2021 |
| AesUST: Towards Aesthetic-Enhanced Universal Style Transfer Z Wang, Z Zhang, L Zhao, Z Zuo, A Li, W Xing, D Lu ACM MM 2022, 2022 | 32 | 2022 |
| GLStyleNet: exquisite style transfer combining global and local pyramid features Z Wang, L Zhao, S Lin, Q Mo, H Zhang, W Xing, D Lu IET Computer Vision 2020, 2020 | 28* | 2020 |
| Evaluate and improve the quality of neural style transfer Z Wang, L Zhao, H Chen, Z Zuo, A Li, W Xing, D Lu CVIU 2021, 2021 | 22 | 2021 |
| StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models Z Wang, L Zhao, W Xing ICCV 2023, 2023 | 20 | 2023 |
| DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer Z Wang, L Zhao, H Chen, Z Zuo, A Li, W Xing, D Lu IJCAI 2022, 2022 | 15* | 2022 |
| MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer Z Wang, L Zhao, Z Zuo, A Li, H Chen, W Xing, D Lu AAAI 2023, 2023 | 12 | 2023 |
| Texture Reformer: Towards Fast and Universal Interactive Texture Transfer Z Wang, L Zhao, H Chen, A Li, Z Zuo, W Xing, D Lu AAAI 2022, 2022 | 12 | 2022 |
| Image style transfer algorithm based on semantic segmentation Z Lin, Z Wang, H Chen, X Ma, C Xie, W Xing, L Zhao, W Song IEEE Access 2021, 2021 | 12 | 2021 |
| Creative and diverse artwork generation using adversarial networks H Chen, L Zhao, L Qiu, Z Wang, H Zhang, W Xing, D Lu IET Computer Vision 2020, 2020 | 12 | 2020 |
| Diversified text-to-image generation via deep mutual information estimation A Li, L Zhao, Z Zuo, Z Wang, H Chen, D Lu, W Xing CVIU 2021, 2021 | 10 | 2021 |
| Universal Video Style Transfer via Crystallization, Separation, and Blending H Lu, Z Wang IJCAI 2022, 2022 | 9 | 2022 |
| Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning Z Zuo, L Zhao, A Li, Z Wang, Z Zhang, J Chen, W Xing, D Lu AAAI 2023, 2023 | 8 | 2023 |
| Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer Z Zuo, L Zhao, S Lian, H Chen, Z Wang, A Li, W Xing, D Lu IJCAI 2022, 2022 | 8 | 2022 |
| Rethinking Fast Fourier Convolution in Image Inpainting T Chu, J Chen, J Sun, S Lian, Z Wang, Z Zuo, L Zhao, W Xing, D Lu ICCV 2023, 2023 | 7 | 2023 |
| Dual distribution matching GAN Z Zuo, L Zhao, A Li, Z Wang, H Chen, W Xing, D Lu Neurocomputing 2022, 2022 | 6 | 2022 |
