Comments (2)
LongguangWang
commented on July 28, 2024
Thank you for your attention to our work.
As mentioned in README.md, we made some modifications to the original code including this one. We made this modification because we found that adding these two more channels leads to a faster convergence in our experiments. However, this modification does not matter to the performance. In our experiments, the performance is still comparable to the original one without significant improvement.
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musicrainie
commented on July 28, 2024
Ok, thanks, for your great work and nice code.
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Related Issues (18)
- run on CPU only without GPU HOT 2
- Output has different number of frames HOT 1
- low retrained result
- where are pretrained models HOT 1
- About evaluation metric:T-MOVIE,MOVIE and VQM-VFD HOT 2
- Code bug in TestsetLoader? HOT 1
- The result of 31 frames of test video is only 29 frames, and the frames at the beginning and end of the video can't be processed?
- vid4 result with worse quality generated by 'demo_vid4.py' HOT 1
- Results in MSU Video Super Resolution Benchmark
- Where does 31 come from in optical_flow_warp? HOT 1
- 系统找不到指定的路径 HOT 2
- Your Results in New Super-Resolution Benchmarks
- Is it possible to add chop_forward HOT 2
- Will you release code for training ? HOT 2
- 测试时，收尾会丢失 HOT 3
- Issues with Memory Usage HOT 1
- Availability of training data? HOT 1
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