Abstract
We propose a two-stage method for face hallucination. First, we generate facial components of the input image using CNNs. These components represent the basic facial structures. Second, we synthesize fine-grained facial structures from high resolution training images. The details of these structures are transferred into facial components for enhancement. Therefore, we generate facial components to approximate ground truth global appearance in the first stage and enhance them through recovering details in the second stage. The experiments demonstrate that our method performs favorably against state-of-the-art methods.
| Original language | English |
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| Title of host publication | Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) |
| Editors | Carles Sierra |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Pages | 4537-4543 |
| ISBN (Print) | 9780999241103 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) - Melbourne, Australia Duration: 19 Aug 2017 → 25 Aug 2017 https://www.ijcai.org/proceedings/2017/ |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 1045-0823 |
Conference
| Conference | 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) |
|---|---|
| Place | Australia |
| City | Melbourne |
| Period | 19/08/17 → 25/08/17 |
| Internet address |
Bibliographical note
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