Super Resolution3 [CVPR-2018] ESRGAN : Enhanced Super-Resolution Generative Adversarial Networks 논문 전문 : https://arxiv.org/abs/1809.00219 [출처] https://doi.org/10.48550/arXiv.1809.00219 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] ESRGAN : Enhanced Super-Resolution Generative Adversarial Networks 본 논문은 GAN을 활용한 Super Resolution(이하 SR)에 거의 시초격인 논문입니다. GAN 네트워크야 CNN으로 짜면 얼마든지 원하는 모델을 만들.. 2023. 12. 11. [CVPR-2014] Image Super-Resolution Using Deep Convolutional Networks 논문 전문 : https://arxiv.org/abs/1501.00092 [출처] https://doi.org/10.48550/arXiv.1501.00092 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] Image Super-Resolution Using Deep Convolutional Networks 지금으로부터 10년전 나온 논문입니다. Super Resolution(이하 SR)에 딥러닝을 활용한 시조새 격의 논문이라고 할 수 있는데요, EDSR이나 최근 SR 논문들은 mu.. 2023. 12. 8. [CVPR-2017] Enhanced Deep Residual Network for Single Image Super-Resolution 논문 전문 : https://arxiv.org/abs/1707.02921 [출처] https://doi.org/10.48550/arXiv.1707.02921 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] Enhanced Deep Residual Network for Single Image Super-Resolution 서울대학교에서 나온 논문으로, 무려 현 글 작성시점 기준 Citation 5772회에 해당하는 슈퍼논문입니다. EDSR이라는 약어로 많이 불리며, Super Res.. 2023. 12. 4. 이전 1 다음
