YangletLiu / Tensor-GAN
Tensor GAN. Ding, Z., Liu, X.Y., Yin, M. and Kong, L., 2019, August. Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. In International Workshop on Human Brain and Artificial Intelligence (pp. 209-223).
☆11Updated 6 years ago
Alternatives and similar repositories for Tensor-GAN:
Users that are interested in Tensor-GAN are comparing it to the libraries listed below
- Tensor ring low-rank factors (AAAI 2019)☆37Updated 6 years ago
- ☆38Updated 8 years ago
- tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization☆28Updated 4 years ago
- This project aims to realize the robust tensor completion algorithms via tensor ring decomposition.☆14Updated 3 years ago
- ☆34Updated 3 years ago
- Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm☆96Updated 4 years ago
- The matlab code is for the paper ''Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix''.☆15Updated 6 years ago
- ☆19Updated 6 years ago
- A Dual Framework for Low-rank Tensor Completion☆17Updated 5 years ago
- code of low-rank tensor train for tensor robust principal component analysis☆15Updated 5 years ago
- This project aims to realize the tensor completion algorithms via tensor ring decomposition.☆12Updated 4 years ago
- tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.☆11Updated 6 years ago
- Matlab code of Bayesian CP Factorization for Tensor Completion☆34Updated 8 years ago
- Matrix and Tensor Completion for Background Model Initialization☆110Updated 4 years ago
- [NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*…☆62Updated 3 years ago
- Matlab implementation of the paper "Learning fast approximations of sparse coding"☆32Updated 9 years ago
- Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.☆16Updated 6 years ago
- This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …☆28Updated 6 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆42Updated 6 years ago
- Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization☆25Updated 4 years ago
- Matlab and Pytorch code for "Reweighted Low-Rank Factorization with Deep Prior for Image Restoration".☆12Updated 2 years ago
- OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1☆37Updated 2 years ago
- tensor-tensor product toolbox☆82Updated 4 years ago
- Code for the paper "Rethinking the CSC Model for Natural Images"☆31Updated last year
- This is an implementation of Truncated Nuclear Norm Regularization Method.☆24Updated 7 years ago
- Multi-Scale Weighted Nuclear Norm Image Restoration☆24Updated 6 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- Volume compression using the Tucker/HOSVD tensor decomposition☆15Updated 8 years ago
- 张量分解算法整理☆62Updated 9 years ago
- [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers☆67Updated 5 years ago