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Are there any special suggestions for inputting burst images, such as should the camera movement/tremor avoid being too large?? Actually, in my testing, significant optical flow changes make my reconstructed background image blurry.
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But the gist of it is that NSF is a very simple stochastic optimization model, you're kind of relying on it falling into a local optima (separating the occlusion from the transmission) based on millions of small updates. If that optimum is too far away from the initialization (e.g., your camera moves a lot), then there's a good chance the model will never find it.
As a rule of thumb, it seems to do fairly well when the motion is on the scale of the occlusion (e.g., if you have a fence that's X pixels wide, then during the burst it should ideally move between X and 3X pixels up/down/left/right to be well reconstructed).
Are there any special suggestions for inputting burst images, such as should the camera movement/tremor avoid being too large?? Actually, in my testing, significant optical flow changes make my reconstructed background image blurry.
The text was updated successfully, but these errors were encountered: