A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing (Supplementary Material)
نویسندگان
چکیده
• Section 2: Detailed explanation and analysis of our synthetic data generation method for training CEILNet in the reflection removal task. • Section 3: Comparison of an I-CNN network with varying convolutional layers against the full CEILNet pipeline. • Section 4: Visualization of more edge maps predicted by E-CNN for both the reflection removal and image smoothing tasks. • Section 5: More visual comparisons with existing deep image smoothing networks. • Section 6: More visual comparisons with our baselines and existing methods on the reflection removal problem. • Section 7: More visual results of our CEILNet on both synthetic and real reflection images. For the latter, our network is the only approach capable of reliably separating a series of difficult single real-world images into reflection and background layers without strong additional priors. • Section 8: More visual results of our CEILNet for different smoothing filters.
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