29.09.2024, 13:51
Hello Selur,
I completed the ColorMNet implementation.
Please find attached the last version RC18 (I hope).
The main changes are:
Unfortunately, while ColorMNet improved the temporal consistency, the long memory is introducing significant color artifacts in smooth scene change.
For this reason I kept the encode method (1) local that is able to manage small memory frames. But in this case I think that Deep-Exemplar is better.
In summary to get a good coloring results are necessary both the models: ColorMNet and Deep-Exemplar.
Now I will start to work to improve the scene change implementation, which can affect the output quality when HAVC is used with the Exemplar-based models.
Thanks,
Dan
I completed the ColorMNet implementation.
Please find attached the last version RC18 (I hope).
The main changes are:
- now there are only 2 encode modes for ColorMNet: (0) remote, (1) local
- removed the Future Warnings
- improved the explanation of ColorMNet parameters
- RefMerge and related parameters (Weight, Threshold) are implemented only for Deep-Exemplar
- The parameter Preset (fast, medium, slow) will apply also to ColorMNet
Unfortunately, while ColorMNet improved the temporal consistency, the long memory is introducing significant color artifacts in smooth scene change.
For this reason I kept the encode method (1) local that is able to manage small memory frames. But in this case I think that Deep-Exemplar is better.
In summary to get a good coloring results are necessary both the models: ColorMNet and Deep-Exemplar.
Now I will start to work to improve the scene change implementation, which can affect the output quality when HAVC is used with the Exemplar-based models.
Thanks,
Dan