Noise2Void - Learning Denoising from Single Noisy Images
1. 摘要 Noise2Noise (N2N) 可以利用一对独立的噪声图片来训练去噪模型，在这里，作者更进一步提出了一个策略 Noise2Void (N2V) ，只利用噪声图像即可。 因此 N2V 可以被应用在一些其它方法不能应用的领域，特别是生物医学图像，在这里干净或者噪声目标图像经常是不可能获取到的。 2. 方法介绍 噪声图像的产生 x = s + n x=s+n x=s+n，可以看作是从下面
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相关文章
- 1. 论文笔记：Learning Denoising from Single Noisy Images
- 2. Learning from Noisy Anchors的思考
- 3. Fast Burst Images Denoising
- 4. 《Learning to Estimate 3D Hand Pose from Single RGB Images》 论文笔记
- 5. Reinforcement Learning for Relation Classification from Noisy Data
- 6. Face Spoofing Detection From Single Images Using Micro-Texture Analysis
- 7. Unprocessing Images for Learned Raw Denoising
- 8. [TMI2019-02]Learning Cross-Modality Representations From Multi-Modal Images
- 9. 论文阅读学习 - CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
- 10. Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images