Using the dark channel prior as a complementary input improves single-image depth-from-defocus, giving strong results on synthetic NYU-v2 blur and qualitative generalization to real blur.
Focus on defocus: bridging the synthetic to real domain gap for depth estimation,
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Dark Channel-Assisted Depth-from-Defocus from a Single Image
Using the dark channel prior as a complementary input improves single-image depth-from-defocus, giving strong results on synthetic NYU-v2 blur and qualitative generalization to real blur.