Learning to See Through Obstructions
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
2020Year
25Top-tier citations
Abstract
https://www.cmlab.csie.ntu.edu.tw/ ˜yulunliu/ObstructionRemoval (a) Reflection removal (b) Fence removal (c) Raindrop removal Figure 1: Seeing through obstructions. We present a learning-based method for recovering clean images from a given short sequence of images taken by a moving camera through obstructing elements such as (a) windows, (b) fence, or (c) raindrop.
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Install the CLIlune papers fulltext 1104a14c-7aec-4c7e-b310-a90cfd07f901Cited by top-tier papers25
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- Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single ImageZhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli et al.CVPR 2020
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