Old Photo Restoration via Deep Latent Space Translation

Author:

Wan Ziyu1ORCID,Zhang Bo2ORCID,Chen Dong2ORCID,Zhang Pan3,Chen Dong4ORCID,Wen Fang2,Liao Jing1ORCID

Affiliation:

1. Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China

2. Visual Computing Group, Microsoft Research, Beijing, China

3. Department of Automation, University of Science and Technology of China, Hefei, Anhui, China

4. Microsoft Cloud+AI, Redmond, WA, USA

Funder

Hong Kong Research Grants Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preserving Artistic Heritage: A Comprehensive Review of Virtual Restoration Methods for Damaged Artworks;Archives of Computational Methods in Engineering;2024-09-05

2. Freezing partial source representations matters for image inpainting under limited data;Engineering Applications of Artificial Intelligence;2024-07

3. Beyond the limits of parametric design: Latent space exploration strategy enabling ultra-broadband acoustic metamaterials;Engineering Applications of Artificial Intelligence;2024-07

4. Ship in Sight: Diffusion Models for Ship-Image Super Resolution;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. A Novel Dual U-Net Generative Adversarial Network for Image Inpainting;International Journal of Pattern Recognition and Artificial Intelligence;2024-05

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