Výsledky vyhledávání

Akademický článek

Single Image Super-Resolution: From Discrete to Continuous Scale Without Retraining

Autor: Yuzhen Niu, Hanmei Weng, Jiaqi Lin, Genggeng Liu

Publikováno v: IEEE Access, Vol 8, Pp 32121-32136 (2020)

Convolutional neural network (CNN)-based single image super-resolution (SR) methods have achieved superior performance on some discrete-scaling factors, including 2, 3, and 4. However, the scaling factors for SR should be continuous and not discrete

Externí odkaz: https://doaj.org/article/ed4d252ac5cc4027b407fbc6e5da1a73

Zobrazit plný text záznamu

Multi-scale Fusion for Arbitrary-scale Image Super-resolution

Autor: Jiaqi Lin, Hanmei Weng, Guanmiao Lin, Yuzhen Niu

Publikováno v: 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE).

Convolutional neural network (CNN)-based single image super-resolution (SR) methods have achieved superior performance on some discrete scale factors. Majority CNN-base methods only work for some integer scale factors, such as 2, 3, and 4. Meta-SR me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3222a8625e7a9ab256e87092bcc20e2a
https://doi.org/10.1109/eitce47263.2019.9095125

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání