Learning to See Through Obstructions
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
2020年份
25顶会引用
摘要
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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引用它的顶会 Paper25
- Single Image Reflection Separation via Component SynergyQiming Hu, Xiaojie GuoICCV 2023 · 被引用 63 次
- Scalable image-based indoor scene rendering with reflectionsJiamin Xu, Xiuchao Wu, Zihan Zhu, Qixing Huang 等SIGGRAPH 2021 · 被引用 42 次
- Seeing through obstructions with diffractive cloakingZheng Shi, Yuval Bahat, Seung-Hwan Baek, Qiang Fu 等SIGGRAPH 2022 · 被引用 34 次
- V-DESIRR: Very Fast Deep Embedded Single Image Reflection RemovalB. H. Pawan Prasad, Green Rosh K. S, R. B. Lokesh, Kaushik Mitra 等ICCV 2021 · 被引用 25 次
- Neural Transmitted Radiance FieldsChengxuan Zhu, Renjie Wan, Boxin ShiNeurIPS 2022 · 被引用 24 次
它引用的顶会 Paper3
- Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and CameraYuhua Chen, Cordelia Schmid, Cristian SminchisescuICCV 2019 · 被引用 265 次
- Neural Inverse Rendering of an Indoor Scene From a Single ImageSoumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu 等ICCV 2019 · 被引用 172 次
- Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single ImageZhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli 等CVPR 2020
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