wliusjtu/Real-time-Image-Smoothing-via-Iterative-Least-Squares

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wliusjtu/Real-time-Image-Smoothing-via-Iterative-Least-Squares

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This is the released code for the paper Real-time Image Smoothing via Iterative Least Squares accepted to ACM Transactions on Graphics

Robust-Color-Guided-Depth-Map-Restoration

Liu, W., Chen, X., Yang, J., & Wu, Q. (2017). Robust color guided depth map restoration. IEEE Transactions on Image Processing, 26(1), 315-327.

Generalized-Smoothing-Framework

This is the released code for the following papers: A generalized framework for edge-preserving and structure-preserving image smoothing. Liu W, et al., TPAMI 2021, AAAI 2020

Color-guided-Depth-Recovery-from-RGB-D-Data-Using-an-Adaptive-Auto-regressive-Model

This is the C implementation of the paper "Color-guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model" in TIP 2014. It is the same as the MATLAB source code provided by the author. However, it can run much faster and can handle much larger depth maps.

Embedding-Bilateral-Filter-in-Least-Squares-for-Efficient-Edge-preserving-Image-Smoothing

This is the released code for the following paper: "Embedding bilateral filter in least squares for efficient edge-preserving image smoothing." by Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang, IEEE Transactions on Circuits and Systems for Video Technology (2018).

Semi-Global-Weighted-Least-Squares-in-Image-Filtering

This is the released code for the following paper: "Semi-global weighted least squares in image filtering.", Wei Liu, Xiaogang Chen, Chuanhua Shen, Zhi Liu, and Jie Yang. In ICCV 2017.