Tensor Sparse Coding

• [1] F. Jiang, X.-Y. Liu, H. Lu, R. Shen. Efficient multi-dimensional tensor sparse coding using t-linear combinations. AAAI, 2018.

• The version of Python is in the repository ./2DSC. Please run main.py to start. And the version of Tensorflow is in the repository ./2DSC/tensorflow. Please run train.py to start.

Figure 1. The experiment of tensor sparse coding.

Tensor GAN

Introduction

• The codes are in the repository ./TGAN.

Architechture

Figure 2. The architechture of tensor GAN.

Figure 3. The tensor dictionary.

Experiment

We have tested the high-quality image generation from a low-resolution image via tensor combined dictionary.

And the following pictures are the generated handwritten numbers the model. The above pictures are generated from latent representations by a generator, which is composed of an adversarial autoencoder networks. The pictures at the bottom are generated by our tensor superresolution (essentially tensor sparse coding) from the above pictures.