stylegan3-editing
restyle-encoder
| stylegan3-editing | restyle-encoder | |
|---|---|---|
| 2 | 2 | |
| 637 | 1,021 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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stylegan3-editing
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?
pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
ALAE - [CVPR2020] Adversarial Latent Autoencoders
encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766
PyTorch-StudioGAN - StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
StyleGAN_PyTorch - The implementation of StyleGAN on PyTorch 1.0.1
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
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.