Review: Deep Laplacian Pyramid Networks for Single Image Super-Resolution
Published in
2 min readJun 4, 2020
이 포스팅은 루닛 블로그에 2017년 6월에 올렸던 포스트입니다.
원문 링크: https://blog.lunit.io/2017/06/08/deep-laplacian-pyramid-networks-for-single-image-super-resolution/
(본 포스팅은 Medium이 latex 함수를 지원하지 않아 이전 포스팅을 PDF로 업로드 하였습니다. 깔끔하게 보시기 원하시는 분들은 원문 참조 부탁드리겠습니다.)
Reference
- W. S. Lai, J. B. Huan, N. Ahuja, and M. H. Yang. Deep Laplacian pyramid networks for fast and accurate super-resolution. CVPR, 2017, accepted
- C. Dong, C. C. Loy, K. He, and X. Tang. Image super- resolution using deep convolutional networks. TPAMI, 38(2):295–307, 2015.
- C. Dong, C. C. Loy, and X. Tang. Accelerating the super- resolution convolutional neural network. In ECCV, 2016.
- J. Kim, J. K. Lee, and K. M. Lee. Accurate image super- resolution using very deep convolutional networks. In CVPR, 2016.
- J. Kim, J. K. Lee, and K. M. Lee. Deeply-recursive convolu- tional network for image super-resolution. In CVPR, 2016.