pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs (by NVIDIA)
face-parsing.PyTorch
Using modified BiSeNet for face parsing in PyTorch (by zllrunning)
| pix2pixHD | face-parsing.PyTorch | |
|---|---|---|
| 6 | 4 | |
| 6,792 | 2,451 | |
| 0.2% | 0.0% | |
| 2.2 | 0.0 | |
| 8 months ago | about 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pix2pixHD
Posts with mentions or reviews of pix2pixHD.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-04.
- How do I run more than 200 epochs in training a Pix2PixHD model?
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NVIDIA DLSS Now Available in Over 150 Games, Including Dying Light 2 Stay Human, Sifu and Phantasy Star Online 2 New Genesis
Well, maybe not, considering things like pix2pix can generate detail from just solid shapes and colors.
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Image to hand drawn
Sources: U2Net, ArtLine, Pix2PixHD, APDrawingGAN
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[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)
Pix2PixHD (from DeepSIM)
Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!
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How to access a class object when I use torch.nn.DataParallel()?
I used Pix2PixHD implementation in GitHub if you want to see the full code.
face-parsing.PyTorch
Posts with mentions or reviews of face-parsing.PyTorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-27.
-
How to do Human Head Segmentation from images?
Segmentation of head / body - I'd either use mediapipe pose and make something cleverly cut where I wanted based on the landmarks, or I'd use pytorch face parsing if you want to be very exact. I found both of these fairly easy to get to run.
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[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)
BiSeNet
Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!
-
[P] Face make up powerd by deep learning | change color of lips, eyes and eyeglasses
I've developed a demo of human face make-up. The main tech used is face parsing.To get lips, eyes and eyeglasses mask, I perform face parsing based on face-parsing.PyTorch. After that, color changing is done in HSV color space.
What are some alternatives?
When comparing pix2pixHD and face-parsing.PyTorch you can also consider the following projects:
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
SemanticSegmentation - A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.