影像編修技術與特效合成(英文授課)
Image Manipulation Techniques and Visual Effects
| 節 | 週二 | 週四 |
|---|---|---|
3 10:10–11:00 | 影像編修技術與特效合成(英文授課) EC329 2 節連堂 | |
4 11:10–12:00 | ||
7 15:30–16:20 | 影像編修技術與特效合成(英文授課) EC329 |
* 根據陽明交大上課時間表所列
Digital manipulation techniques are now popularly used to generate compelling, plausible, or exaggerative images for photo retouching or visual effects. In this course, we will introduce modern image analysis and synthesis techniques, e.g. image matting, segmentation, warping, compositing, inpainting, style transfer, and so forth. Students will learn the algorithms behind, such as objective optimization and deep learning. Students will develop intelligent editing tools for their projects.
C/C++ or Python programming, calculus, matrix computation or linear algebra (Optional) {Backgrounds in computer graphics, computer vision, image processing or deep learning will be helpful }
Course-related material will be uploaded onto E3. Temporary announcement page: https://reurl.cc/824KVy {Class lectures and the teaching materials (slides, homework, etc.) are in English. Students are encouraged to speak English for questions and discussion, but we can still can use Mandarin Chinese to clarify certain issues.}
(Provisional) #Programming homework assignments (40~60%) #Paper study and presentation (10~20%) #Term project (35~50%) #Class participation (0~10% or bonus)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Overview of image manipulation and visual effects |
| 第 2 週 | Essential principles of images and features. Color histograms and GMM |
| 第 3 週 | Image matting and compositing |
| 第 4 週 | Image segmentation and compositing with Graphcut |
| 第 5 週 | Image warping and morphing |
| 第 6 週 | Texture manipulation |
| 第 7 週 | Patch-based optimization and image inpainting |
| 第 8 週 | Essential concepts about neural networks for images |
| 第 9 週 | Convolutional Neural Network (CNN) and Generative Adversarial Network (GAN) |
| 第 10 週 | Image manipulation and visual effects with CNN and GAN (I) |
| 第 11 週 | Image manipulation and visual effects with CNN and GAN (II) |
| 第 12 週 | Image manipulation and visual effects with CNN and GAN (III) |
| 第 13 週 | Advanced topics |
| 第 14 週 | Paper survey and project proposal (I) |
| 第 15 週 | Paper survey and project proposal (II) |
| 第 16 週 | Week for alternative curriculum/supplementary teaching |
| 第 17 週 | Week for alternative curriculum/supplementary teaching |
| 第 18 週 | Final presentation and demo |
Course slides References: *Proceedings of ACM SIGGRAPH, SIGGRAPH Asia, IEEE CVPR, ICCV, ECCV, and other related articles.
- 地點
- EC704
- 時間
- To be announced.
- 聯絡方式
- Email: ichenlin@cs.nctu.edu.tw