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Github 链接包含 COMP8501 Advanced topics in computer graphics 和 COMP9102 Data Management and Information Retrieval 课程作业。
https://github.com/louiswng/HKUCS-Coursework
COMP8501 Assignment1
Please accomplish one of the following two tasks:
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Implement one of the traditional 2D Image-Based graphics algorithms:
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Poisson Image Editing
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Graph Cut
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GrabCut
You must reimplement the algorithm by yourself.
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Implement one of the deep learning 2D Image-Based graphics algorithms:
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Fully Convolutional Networks for Semantic Segmentation
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CycleGAN
You may use open source framework/implementation. But you have to train the model by yourself and include the trained model in your submission.
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You may also choose other deep learning 2D Image-Based graphics algorithms from published paper or your own project.
The technical report should include detailed parameters showing the model convergence.
Requirements:
- Technical report, source code, example images are expected to be submitted through Moodle.
- There should be detailed instructions on how to run your code. TA will run your code against testing datasets and will deduct marks if the instructions are unclear.
- The reimplemented algorithm is expected to have comparable performance with the original paper. You should evaluate the performance in the technical report.
- Recommended programming languages: C++/Java/Python/MATLAB
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