The classical paper list with code about generative adversarial nets
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Updated
Jun 21, 2020
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image-translation
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A collection of AWESOME things about domian adaptation
paper
awesome-list
transfer-learning
image-translation
optimal-transport
zero-shot-learning
adversarial-learning
domain-adaptation
few-shot-learning
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Updated
Jun 4, 2020
ZhangYuef
commented
May 17, 2019
I am afraid that the image links in TUTORIAL.md are 404.
Is that because of my Internet connection or they're just not found?
computer-vision
code
generative-adversarial-network
gan
image-manipulation
papers
curated-list
image-to-image
image-translation
image-to-image-translation
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Updated
Mar 20, 2020
mark-joe
commented
Jun 5, 2018
Not really an issue, I'm just puzzled where max_size is used for. It serves as the size of an ImagePool pool and is used to store 'fake outputs'. Used here:
` # Update G network and record fake outputs
fake_A, fake_B, _, summary_str = self.sess.run(
[self.fake_A, self.fake_B, self.g_optim, self.g_sum],
feed_dict={self.rea
Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
faceswap
generative-adversarial-network
gan
face-swap
image-to-image
image-translation
image-to-image-translation
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Updated
Jan 28, 2020 - Jupyter Notebook
[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
Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)
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Aug 13, 2019 - Python
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
computer-vision
deep-learning
geometry
pytorch
image-generation
multi-domain
gans
adversarial-networks
image-translation
attention-model
cyclegan
image-to-image-translation
ijcnn
unpaired
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Updated
Jun 16, 2020 - Python
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
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Updated
Apr 2, 2020 - Python
Implementation of "Learning to Shadow Hand-drawn Sketches" CVPR 2020 (Oral)
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Updated
Jun 15, 2020 - Python
[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
computer-vision
deep-learning
pytorch
generative-adversarial-network
generative-model
image-manipulation
image-generation
gans
image-translation
hand-gestures
dayton
image-to-image-translation
semantic-maps
hand-gesture
controllable
acmmm2018
cross-view
cvusa-dataset
gesture-translation
hand-skeletons
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Updated
Jul 7, 2020 - Python
A collection of awesome resources image-to-image translation.
computer-vision
computer-graphics
image-generation
awesome-list
image-translation
conference-paper
3d-representation
cvpr2020
eccv2020
eccv-2020
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Updated
Jul 11, 2020
Official PyTorch implementation of GDWCT (CVPR 2019, oral)
computer-vision
pytorch
gan
gans
generative-adversarial-networks
image-translation
image-to-image-translation
gdwct
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Updated
Nov 13, 2019 - Python
Official implementation of FQ-GAN
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Updated
Jun 1, 2020 - Python
Pytorch implementation of BicycleGAN with implementation details
computer-vision
deep-learning
pytorch
generative-adversarial-network
gan
image-translation
cyclegan
bicyclegan
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Updated
Jul 21, 2018 - Python
Pytorch implementation of multitask CycleGAN with auxiliary classification loss
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Updated
Dec 28, 2019 - Python
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
pytorch
generative-adversarial-network
image-manipulation
gans
image-translation
image-synthesis
cocosnet
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Updated
Jun 29, 2020 - Python
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
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Aug 16, 2018 - Jupyter Notebook
Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
translation
paper
generative-adversarial-network
semi-supervised-learning
image-translation
stargan
attribute-manipulation
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Updated
Jun 21, 2020 - Python
Pytorch implementation of pix2pix for various datasets.
pytorch
gan
generative-model
unet
pix2pix
generative-adversarial-networks
image-translation
cgan
conditional-gan
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Updated
Jul 24, 2018 - Python
Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
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Updated
Feb 12, 2018 - Python
A clean and lucid implementation of cycleGAN using PyTorch
computer-vision
deep-learning
generative-adversarial-network
image-translation
cyclegan
pytorch-implementation
cyclegan-pytorch
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Updated
Dec 22, 2018 - Python
Comparing different similarity functions for reconstruction of image on CycleGAN. (https://tandon-a.github.io/CycleGAN_ssim/) Training cycleGAN with different loss functions to improve visual quality of produced images
computer-vision
deep-learning
tensorflow
computer-graphics
generative-adversarial-network
gan
image-manipulation
image-generation
perceptual-losses
image-translation
cyclegan
image-to-image-translation
perceptual-similarity
ssim-loss
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Mar 2, 2019 - Python
Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks
computer-vision
chainer
computer-graphics
artificial-intelligence
gan
deeplearning
pix2pix
cityscape
image-translation
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Updated
Mar 22, 2017 - Python
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
local
pytorch
generative-adversarial-network
gan
global
generative-model
image-manipulation
image-generation
image-translation
dayton
adversarial-learning
pytorch-implementation
cross-view
cvusa-dataset
sva-dataset
cvpr2020
cvpr-2020
cvpr20
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Updated
Apr 12, 2020 - Shell
[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
image-generation
keypoints
landmarks
gans
image-translation
facial-landmarks
image-to-image-translation
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Jul 8, 2020 - Python
Guided Image-to-Image Translation Papers
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Updated
Feb 19, 2020
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Traceback (most recent call last):
File "train.py", line 45, in
train_display_images_b = torch.stack([train_loader_b.dataset[i] for i in range(display_size)]).cuda()
File "train.py", line 45, in
train_display_images_b = torch.stack([train_loader_b.dataset[i] for i in range(display_size)]).cuda()
File "/content/MUNIT/data.py", line 119, in getitem
pat