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Top 14 Python Stylegan2 Projects
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PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
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BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Project mention: About Open Source Image and Video Restoration Toolbox | news.ycombinator.com | 2024-02-27 -
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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stylegan2-pytorch
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch (by rosinality)
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gangealing
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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alias-free-gan-pytorch
Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch
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ilo
[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
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StyleDomain
Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)
Project mention: [Research] Exciting New Paper on StyleGAN Domain Adaptation: StyleDomain - ICCV 2023 | /r/MachineLearning | 2023-09-30Abstract: Domain adaptation of GANs is a problem of fine-tuning GAN models pretrained on a large dataset (e.g., StyleGAN) to a specific domain with few samples (e.g., painting faces, sketches, etc.). While there are many methods that tackle this problem in different ways, there are still many important questions that remain unanswered. In this paper, we provide a systematic and in-depth analysis of the domain adaptation problem of GANs, focusing on the StyleGAN model. We perform a detailed exploration of the most important parts of StyleGAN that are responsible for adapting the generator to a new domain depending on the similarity between the source and target domains. As a result of this study, we propose new efficient and lightweight parameterizations of StyleGAN for domain adaptation. Particularly, we show that there exist directions in StyleSpace (StyleDomain directions) that are sufficient for adapting to similar domains. For dissimilar domains, we propose Affine+ and AffineLight+ parameterizations that allow us to outperform existing baselines in few-shot adaptation while having significantly fewer training parameters. Finally, we examine StyleDomain directions and discover their many surprising properties that we apply for domain mixing and cross-domain image morphing. Source code can be found at GitHub.
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pic-recon
Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Python Stylegan2 related posts
- [R] GigaGAN: A Large-scale Modified GAN Architecture for Text-to-Image Synthesis. Better FID Score than Stable Diffusion v1.5, DALL·E 2, and Parti-750M. Generates 512px outputs at 0.13s. Native Prompt mixing, Prompt Interpolation and Style Mixing. A GigaGAN Upscaler is also introduced (Up to 4K)
- Converting a .pkl file to a .pt for StyleGan2 Model
- Soup from a stone. Creating a Dreambooth model with just 1 image.
- I'm stumped with installing PyTorch.
- [P] Implementations of 30 representative GANs and Comprehensive Benchmark for GAN, AR, and Diffusion Models (link in comments).
- [P] Implementations of 30 representative GANs and Comprehensive Benchmark for GAN, AR, and Diffusion Models (link in comments).
- [P], [R] Implementations of 30 Representative GANs and Comprehensive Benchmark for GAN, AR, and Diffusion Models (link in comments).
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A note from our sponsor - WorkOS
workos.com | 29 Mar 2024
Index
What are some of the best open-source Stylegan2 projects in Python? This list will help you:
Project | Stars | |
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1 | PaddleGAN | 7,632 |
2 | BasicSR | 6,057 |
3 | PyTorch-StudioGAN | 3,365 |
4 | stylegan2-pytorch | 2,653 |
5 | gangealing | 996 |
6 | anycost-gan | 767 |
7 | MobileStyleGAN.pytorch | 647 |
8 | alias-free-gan-pytorch | 506 |
9 | DeceiveD | 249 |
10 | flaxmodels | 219 |
11 | ilo | 117 |
12 | StyleDomain | 24 |
13 | stylegan-waifu-generator | 21 |
14 | pic-recon | 8 |