Decensoring Hentai with Deep Neural Networks
-
Updated
Apr 22, 2020 - Python
#
image-inpainting
Here are 81 public repositories matching this topic...
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
Just draw a bounding box and you can remove the object you want to remove.
-
Updated
Sep 27, 2019 - Python
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
machine-learning
computer-vision
deep-learning
computer-graphics
generative-adversarial-network
gan
dcgan
unsupervised-learning
image-inpainting
context-encoders
-
Updated
Feb 17, 2018 - Lua
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
image-inpainting
image-denoising
image-restoration
image-deblurring
single-image-super-resolution
color-demosaicking
deep-model
-
Updated
Aug 13, 2018 - MATLAB
Image Inpainting via Generative Multi-column Convolutional Neural Networks
-
Updated
Jan 8, 2020 - Python
Image completion using deep convolutional generative adversarial nets in tensorflow
-
Updated
Dec 21, 2017 - Jupyter Notebook
A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
-
Updated
Dec 5, 2019 - Python
Deep Fusion Network for Image Completion - ACMMM 2019
deep-learning
pytorch
image-inpainting
inpainting
image-completion
edgeconnect
dfnet
fusion-block
acmmm2019
-
Updated
Oct 27, 2019 - Python
naman5jain4
commented
Feb 25, 2019
I was attempting to run the demo code, but I found that the checkpoint file mentioned in line 53 from "Examples/demo_segmentation.py" (see below) is unavailable. Is there a location that has not been documented that I can check?
old = torch.load("checkpoints/text_seg_model_838epos.pt", map_location='cpu')
Coherent Semantic Attention for image inpainting(ICCV 2019)
-
Updated
Dec 21, 2019 - Python
GazeCorrection: Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks
-
Updated
Apr 17, 2020 - Python
Tensorflow implement of "Eye In-Painting with Exemplar Generative Adversarial Networks"
-
Updated
Jan 18, 2019 - Python
On-Demand Learning for Deep Image Restoration (ICCV 2017)
-
Updated
Aug 5, 2017 - Lua
Wide-Context Semantic Image Extrapolation, CVPR2019
-
Updated
Feb 16, 2020 - Python
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)
-
Updated
Aug 30, 2018 - Python
Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)
-
Updated
Jan 16, 2020 - Python
Semantic Image Inpainting with Progressive Generative Networks
-
Updated
Dec 7, 2018 - Python
Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018
deep-neural-networks
computer-vision
deep-learning
tensorflow
keras
cnn
python3
nvidia
generative-adversarial-network
gan
convolutional-neural-networks
places365
image-inpainting
inpainting
wasserstein-gan
wgan-gp
improved-wasserstein
improved-wgan
nips-2018
neurips-2018
-
Updated
Mar 30, 2020 - Python
Image inpainting based on OMP and KSVD algorithm
-
Updated
Jul 4, 2016 - MATLAB
Criminisi et al's region inpainting algorithm in C++
-
Updated
Aug 17, 2016 - C++
Image inpainting via dictionary learning and sparse representation.
machine-learning
lasso
dictionary-learning
image-inpainting
inpainting
inpaint
paper-implementations
inpainting-methods
-
Updated
Jun 5, 2019 - Python
Pytorch implementation of Coherent Semantic Attention Image Inpainting
-
Updated
Nov 28, 2019 - Python
Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond
python
machine-learning
deep-neural-networks
computer-vision
deep-learning
tensorflow-experiments
image-inpainting
-
Updated
Mar 4, 2020 - Jupyter Notebook
PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting
-
Updated
Feb 18, 2020
Source code of AAAI 2020 paper 'Learning to Incorporate Structure Knowledge for Image Inpainting'
-
Updated
Feb 7, 2020 - Python
EdgeConnect for iOS implemented using CoreML.
-
Updated
Feb 1, 2019 - Swift
NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"
-
Updated
Mar 9, 2019 - MATLAB
Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jiahuiyu.com/deepfill
-
Updated
Jun 24, 2019 - Python
Improve this page
Add a description, image, and links to the image-inpainting topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the image-inpainting topic, visit your repo's landing page and select "manage topics."
Hello, @JiahuiYu .
There is no progress bar after "Trigger callback: Total counts of trainable weights: 9999294.
Total size of trainable weights: 0G 9M 548K 958B (Assuming32-bit data type.)" anymore.
What should i do to have it back?