TDAE:Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by T
Hallucinating Very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders Xin Yu, Fatih Porikli 這篇文章是Xin Yu發表在2017年CVPR上的，主要亮點就是論文提出的方法TDAE的訓練數據不再需要是對齊的和已經去除噪聲的，也
相關文章
- 1. Noise2Void - Learning Denoising from Single Noisy Images
- 2. 論文筆記：Learning Denoising from Single Noisy Images
- 3. Learning Residual Images for Face Attribute Manipulation
- 4. Course4-week4-face recognition and neural style transfer
- 5. Digital Face Makeup by Example
- 6. Face Spoofing Detection From Single Images Using Micro-Texture Analysis
- 7. Removing Docker Containers and Images
- 8. Face-Image-Quality-Assessment
- 9. 論文總結3-Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces
- 10. Generalized face anti-spoofing by detecting pulse from face videos
- 更多相關文章...
- • Docker images 命令 - Docker命令大全
- • SQLite Indexed By - SQLite教程
- • RxJava操作符（七）Conditional and Boolean
- • Docker 清理命令
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Noise2Void - Learning Denoising from Single Noisy Images
- 2. 論文筆記：Learning Denoising from Single Noisy Images
- 3. Learning Residual Images for Face Attribute Manipulation
- 4. Course4-week4-face recognition and neural style transfer
- 5. Digital Face Makeup by Example
- 6. Face Spoofing Detection From Single Images Using Micro-Texture Analysis
- 7. Removing Docker Containers and Images
- 8. Face-Image-Quality-Assessment
- 9. 論文總結3-Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces
- 10. Generalized face anti-spoofing by detecting pulse from face videos