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We train our method on multiple rendered dataset. In order to generate real-world supervision for our method we use multi-illumination data.
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Using our pipeline we estimate albedo for each image in a given multi-illumination scene. By taking the median across these albedo estimations, small errors are removed resulting in a single accurate albedo.
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We train our method on multiple rendered datasets. In order to generate real-world supervision for our method we use multi-illumination data.
39
+
Using our pipeline we estimate the albedo for each image in a given multi-illumination scene. By taking the median across these albedo estimations, small errors are removed resulting in a single accurate albedo.
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We use these 25,000 pseudo-ground-truth pairs as training data and continue training our pipeline.
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