Residual Geometric Feature Transform Network for 3D Surface Super-Resolution
Author:
Affiliation:
1. Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China
2. Shenzhen University,College of Electronics and Information Engineering,Shenzhen,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Natural Science Foundation of Shenzhen City
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9665713/9665818/09665935.pdf?arnumber=9665935
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4. Esrgan: Enhanced super-resolution generative adversarial networks;wang;European Conference on Computer Vision (ECCV),2018
5. Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform
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