#
gans
Here are 365 public repositories matching this topic...
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
computer-vision
deep-learning
computer-graphics
torch
generative-adversarial-network
gan
image-manipulation
image-generation
gans
pix2pix
cyclegan
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Jun 28, 2020 - Lua
vmartinv
commented
Sep 12, 2019
Is there any place I can read about how to produce high-quality results? The pictures from the README look very well produced whereas the result I get from the collab demo is not as good. Is there any documentation about the parameters for that Trump-Cage example?
Thank you so much
A simple interface for editing natural photos with generative neural networks.
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Mar 22, 2017 - Python
The author's officially unofficial PyTorch BigGAN implementation.
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Jul 6, 2020 - Python
xiaoming3526
commented
Nov 21, 2019
I downloaded the pre-training model to see the effect of the model. Instead of generating flist file, I directly tested it, and the following error occurred：
python test.py --checkpoints ./checkpoints/places2 --input ./examples/places2/images --mask ./examples/places2/masks --output ./checkpoints/results --model 3
Loading EdgeModel generator...
Loading InpaintingModel generator...
sta
A very simple generative adversarial network (GAN) in PyTorch
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Jun 24, 2020 - Python
Toward Multimodal Image-to-Image Translation
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Jul 2, 2020 - Python
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Jan 28, 2020 - Jupyter Notebook
5
avik-pal
commented
Sep 2, 2019
Background
TorchGAN started out with a primary focus on GANs. But recent literature has suggested that GANs are being used in time series modeling, NLP, etc. Hence the name Trainer sends the wrong message.
Proposal
- Deprecate
TrainerandParallelTrainerin v0.0.4 and completely remove them in v0.0.5+ - Introduce an
ImageTrainerandParallelImageTrainerwhich are exac
Generative Adversarial Networks (GANs) resources sorted by citations
generative-model
gans
adversarial-networks
generative-adversarial-networks
research-paper
frameworks
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May 11, 2019
Generative Adversarial Networks implemented in PyTorch and Tensorflow
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Apr 27, 2020 - Jupyter Notebook
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
deep-neural-networks
ai
deep-learning
artificial-intelligence
generative-adversarial-network
gan
dcgan
semi-supervised-learning
gans
artificial-intelligence-algorithms
cycle-gan
conditional-gan
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Sep 15, 2019 - Jupyter Notebook
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
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Jul 9, 2020 - Python
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
pytorch
generative-adversarial-network
gans
pix2pix
3d
cyclegan
disentangled-representations
shape-generation
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Updated
Oct 7, 2019 - Python
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
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Dec 5, 2019 - Python
Pytorch implementation of MixNMatch
deep-learning
pytorch
image-manipulation
image-generation
gans
fine-grained
disentangled-representations
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Jul 7, 2020 - Python
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
neural-network
tensorflow
cnn
tf2
artificial-intelligence
generative-adversarial-network
tensorboard
gans
super-resolution
srgan
sisr
upsample
residual-blocks
single-image-super-resolution
tf-keras
resolution-image
fastsrgan
realtime-super-resolution
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Apr 20, 2020 - Python
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
python
machine-learning
pytorch
gan
dcgan
reproducibility
gans
generative-adversarial-networks
cvpr
cgan
wgan-gp
generative-models
ssgan
sngan
cvpr2020
sngan-projection
cvpr20
infomax-gan
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Jun 8, 2020 - Python
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
computer-vision
deep-learning
computer-graphics
pytorch
generative-adversarial-network
image-manipulation
image-generation
gans
image-translation
dayton
adversarial-learning
image-to-image-translation
semantic-maps
cross-view
cvpr-2019
cvpr2019
cvpr19
cvusa-dataset
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Jun 11, 2020 - Python
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
tutorial
generative-adversarial-network
dcgan
generative-model
gaussian-mixture-models
auto-regressive-model
gans
bayesian-classifiers
variational-inference
tutorial-code
variational-autoencoder
cyclegan
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Jan 21, 2019 - Jupyter Notebook
DEPRECATED: Depth Map Estimation from Monocular Images
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Oct 7, 2019 - Python
Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
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Feb 20, 2018 - Python
[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN
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Dec 16, 2019 - Jupyter Notebook
[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
deep-learning
pytorch
gans
generative-adversarial-networks
3d-vision
disentangled-representations
3d-sdn
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Updated
Dec 20, 2018 - Python
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
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Apr 11, 2018 - Python
Differentiable Augmentation for Data-Efficient GAN Training
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Jul 8, 2020 - Python
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
tensorflow
semi-supervised-learning
convolutional-neural-networks
image-segmentation
gans
brain-mri
3d-gan
semi-supervised-gan
medical-image-analysis
few-shot-learning
unet-3d
unet-tensorflow
multi-modal-imaging
iseg-challenge
weightnorm-3d
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Oct 2, 2019 - Python
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
tensorflow
word-embeddings
gru
autoencoder
gans
doc2vec
skip-thoughts
adagrad
cyclegan
deep-learning-mathematics
capsule-network
few-shot-learning
quick-thought
deep-learning-scratch
nadam
deep-learning-math
lstm-math
cnn-math
rnn-derivation
contractive-autonencoders
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Apr 17, 2020 - Jupyter Notebook
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For some reason, when I open the web document, real_a and fake_b are matching, but the real_b is from another image; however in the images folder the images are correct. Does someone know why does this happen?