reproducible-tensor-completion-state-of-the-art

Collection of popular and reproducible tensor completion works.

Criteria: works must have codes available, and the reproducible results demonstrate state-of-the-art performances.

This list is maintained by:

Xi-Le Zhao, Teng-Yu Ji, Tai-Xiang Jiang, Meng Ding, Yu-Bang Zheng [Email] (UESTC)

Excellent Review

Tensor Decompositions and Applications (SIAM Review 2009), Tamara G. Kolda and Brett W. Bader
Tensor Decompositions for Signal Processing Applications: From Two-way to Multiway Component Analysis (IEEE SP 2015), Andrzej Cichocki et al.
Tensor Decomposition for Signal Processing and Machine Learning (IEEE TSP 2017), Nicholas D. Sidiropoulos et al.
Sparse Recovery: From Vectors to Tensors (National Science Review 2017), Yao Wang et al.
Low Rank Tensor Completion for Multiway Visual Data (Signal Processing 2019), Zhen Long et al.
Tensor Completion Algorithms in Big Data Analytics (TKDD 2019), Qingquan Song et al.

BCPF [Web] [Code] [PDF]
- Bayesian CP factorization of incomplete tensors with automatic rank determination (PAMI 2015), Qibin Zhao et al.

SNN [Web] [Code] [PDF]
- Tensor Completion for Estimating Missing Values in Visual Data (PAMI 2012), Ji Liu et al.
TMac [Web] [Code] [PDF]
- Parallel matrix factorization for low-rank tensor completion (Inverse Problems and Imaging), Yangyang Xu et al.
KBR [Web] [Code] [PDF]
- Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery (PAMI 2017), Qi Xie et al.

TRPCA [Web] [Code] [PDF]
- Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm (PAMI2018), Canyi Lu et al.
3DTNN [Web] [Code] [PDF]
- Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization (IEEE TGRS2020), Yu-Bang Zheng et al.
PSTNN [Web] [Code] [PDF]
- Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm (JCAM2020), Tai-Xiang Jiang et al.
TNN [Web] [Code] [PDF]
- Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD (CVPR2014), Zemin Zhang et al.

TMac-TT [Web] [Code] [PDF]
- Efficient Tensor Completion for Color Image and Video Recovery: Low-Rank Tensor Train (IEEE TIP2017), Johann A. Bengua et al.
MF-TTTV [Web] [Code] [PDF]
- Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation (JSC2019), Meng Ding et al.

TRLRF [Web] [Code] [PDF]
- Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion (AAAI 2019), Longhao Yuan et al.

TT-LSTM [Web] [Code] [PDF]
- Tensor-Train Recurrent Neural Networks for Video Classification (ICML 2017), Yinchong Yang et al.
TT-Layer [Web] [Code] [PDF]
- Tensorizing Neural Networks (NIPS 2015), Alexander Novikov et al.