StyleGAN_PyTorch
restyle-encoder
| StyleGAN_PyTorch | restyle-encoder | |
|---|---|---|
| - | 2 | |
| 533 | 1,021 | |
| - | - | |
| 3.6 | 0.0 | |
| almost 4 years ago | over 1 year ago | |
| Python | Python | |
| - | MIT License |
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StyleGAN_PyTorch
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Tracking mentions began in Dec 2020.
restyle-encoder
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amazing april 7th
Found relevant code at https://yuval-alaluf.github.io/restyle-encoder/ + all code implementations here
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[R] a Metric for finding the best StyleGAN Latent Encoders
Right now we have encoders like pSp and restyle or encoder4editing, but how can we tell which one performs better than the other?
What are some alternatives?
StyleFlow - StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
stylegan3-editing - Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433
encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
checkface - Putting a face to a hash
ALAE - [CVPR2020] Adversarial Latent Autoencoders
SAM - Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754
GANce - Maps music and video into the latent space of StyleGAN networks.
SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.
neat - [ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving