I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images
Author:
Affiliation:
1. KAIST,School of Electrical Engineering,South Korea
Funder
National Research Foundation of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030370.pdf?arnumber=10030370
Reference38 articles.
1. Reduction of Aliasing Artifacts by Sign Function Approximation in Light Field Depth Estimation Based on Foreground–Background Separation
2. PlenoPatch: Patch-Based Plenoptic Image Manipulation
3. Separation of foreground and background from light field using gradient information
4. Piggyback gan: Efficient life-long learning for image conditioned generation;zhai;European Conference on Computer Vision,2020
5. Occlusion Handling by Successively Excluding Foregrounds for Light Field Depth Estimation Based on Foreground-Background Separation
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3. Learning Epipolar-Spatial Relationship for Light Field Image Super-Resolution;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06
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