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Code for GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models

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Name		Name	Last commit message	Last commit date
weights		weights
AnchorStein.ipynb		AnchorStein.ipynb
D sampling.ipynb		D sampling.ipynb
MNIST_Speed_Tests.ipynb		MNIST_Speed_Tests.ipynb
Multi Encoder CelebAHQ.ipynb		Multi Encoder CelebAHQ.ipynb
ProGAN Random.ipynb		ProGAN Random.ipynb
ProGAN ReconstructBatch.ipynb		ProGAN ReconstructBatch.ipynb
ProGAN.ipynb		ProGAN.ipynb
Probabilistic Encoding v2.ipynb		Probabilistic Encoding v2.ipynb
README.md		README.md
Untitled.ipynb		Untitled.ipynb
anchor_GAN.ipynb		anchor_GAN.ipynb
anchor_MNIST.ipynb		anchor_MNIST.ipynb
anchor_image.py		anchor_image.py
anchor_image_test.ipynb		anchor_image_test.ipynb
bigGan_sampler.ipynb		bigGan_sampler.ipynb
celeb-hq5.jpg		celeb-hq5.jpg
celeba_anchor_clean.ipynb		celeba_anchor_clean.ipynb
celeba_utils.py		celeba_utils.py
class_models.py		class_models.py
csgm.py		csgm.py
csgm_tf.py		csgm_tf.py
dcgan.py		dcgan.py
dog.png		dog.png
final_celeba_hq_encoder.pt		final_celeba_hq_encoder.pt
image_utils.py		image_utils.py
mnist_cnn.pt		mnist_cnn.pt
mnist_encoder.pt		mnist_encoder.pt
pretrained_celeba_smiling_4.pt		pretrained_celeba_smiling_4.pt
pretrained_models.py		pretrained_models.py
sample.py		sample.py
sigmoid sampling.ipynb		sigmoid sampling.ipynb
svgd.py		svgd.py
train_celeba_hq.py		train_celeba_hq.py

Code for efficient sampling of image anchors

Code for GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models

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