| AesUST: towards aesthetic-enhanced universal style transfer Z Wang, Z Zhang, L Zhao, Z Zuo, A Li, W Xing, D Lu Proceedings of the 30th ACM International Conference on Multimedia, 1095-1106, 2022 | 36 | 2022 |
| VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs J Sun, Z Zhang, J Chen, G Li, B Ji, L Zhao, W Xing IJCAI2023, 2023 | 14 | 2023 |
| 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 AAAI 2023, 2023 | 9 | 2023 |
| Generating cartoon images from face photos with cycle-consistent adversarial networks T Zhang, Z Zhang, W Jia, X He, J Yang Computers, Materials and Continua, 2021 | 9 | 2021 |
| 3dgstream: On-the-fly training of 3d gaussians for efficient streaming of photo-realistic free-viewpoint videos J Sun, H Jiao, G Li, Z Zhang, L Zhao, W Xing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning. J Chen, B Ji, Z Zhang, T Chu, Z Zuo, L Zhao, W Xing, D Lu IJCAI, 5788-5796, 2023 | 7 | 2023 |
| Gating PatternPyramid for diversified image style transfer F Yang, H Chen, Z Zhang, L Zhao, H Lin Journal of Electronic Imaging 31 (6), 063007-063007, 2022 | 7 | 2022 |
| Caster: Cartoon style transfer via dynamic cartoon style casting Z Zhang, J Sun, J Chen, L Zhao, B Ji, Z Lan, G Li, W Xing, D Xu Neurocomputing 556, 126654, 2023 | 6 | 2023 |
| Rethinking multi-contrast mri super-resolution: Rectangle-window cross-attention transformer and arbitrary-scale upsampling G Li, L Zhao, J Sun, Z Lan, Z Zhang, J Chen, Z Lin, H Lin, W Xing Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| DuDoINet: Dual-domain implicit network for multi-modality MR image arbitrary-scale super-resolution G Li, W Xing, L Zhao, Z Lan, Z Zhang, J Sun, H Yin, H Lin, Z Lin Proceedings of the 31st ACM International Conference on Multimedia, 7335-7344, 2023 | 5 | 2023 |
| ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank Z Zhang, Q Zhang, W Xing, G Li, L Zhao, J Sun, Z Lan, J Luan, Y Huang, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7396-7404, 2024 | 4 | 2024 |
| Self-reference image super-resolution via pre-trained diffusion large model and window adjustable transformer G Li, W Xing, L Zhao, Z Lan, J Sun, Z Zhang, Q Zhang, H Lin, Z Lin Proceedings of the 31st ACM International Conference on Multimedia, 7981-7992, 2023 | 4 | 2023 |
| Attention graph: Learning effective visual features for large-scale image classification X Cui, Z Zhang, T Zhang, Z Yang, J Yang Journal of Algorithms & Computational Technology 16, 17483026211065375, 2022 | 3 | 2022 |
| Rethink arbitrary style transfer with transformer and contrastive learning Z Zhang, J Sun, G Li, L Zhao, Q Zhang, Z Lan, H Yin, W Xing, H Lin, Z Zuo Computer Vision and Image Understanding 241, 103951, 2024 | 2 | 2024 |
| Rethinking diffusion model for multi-contrast mri super-resolution G Li, C Rao, J Mo, Z Zhang, W Xing, L Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt Z Zhang, Q Zhang, H Lin, W Xing, J Mo, S Huang, J Xie, G Li, J Luan, ... IJCAI2024, 2024 | 1 | 2024 |
| Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache J Sun, Z Zhang, T Chu, G Li, L Zhao, W Xing arXiv preprint arXiv:2305.16800, 2023 | | 2023 |
