SINF

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Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)

SINF 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# Sliced Iterative Normalizing Flows

This repository is the official implementation of [Sliced Iterative Normalizing Flows](https://arxiv.org/abs/2007.00674).

## Requirements

To install requirements:

```setup
pip install -r requirements.txt
```

## Training

To train SIG and GIS, run the following commands:

```train
python SIG.py --dataset DATASET --seed SEED --save SAVING_ADDRESS   
python GIS.py --dataset DATASET --seed SEED --save SAVING_ADDRESS
```

## Evaluation

The FID score of SIG samples can also be evaluated on the fly with the "--evaluateFID" argument.

## Results

SIG achieves the following performance on :

### FID score

|       MNIST       |      Fashion      |      CIFAR10      |       CelebA      |
| ----------------- | ----------------- | ----------------- | ----------------- |
|        4.5        |       13.7        |       66.5        |       37.3        |

### OoD detection (AUROC on models trained on FashionMNIST)

|       MNIST       |      OMNIGLOT     |    FMNIST-hflip   |   FMNIST-vflip    |
| ----------------- | ----------------- | ----------------- | ----------------- |
|       0.990       |       0.993       |       0.631       |       0.821       |

SINF

SINF 최신버젼 다운로드

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SINF

SINF 최신버젼 다운로드

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