Stylegan2

Open-source projects categorized as Stylegan2

Top 22 Stylegan2 Open-Source Projects

  • 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.

  • 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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  • VToonify

    [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

  • PyTorch-StudioGAN

    StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  • stylegan2-pytorch

    Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch (by rosinality)

  • DualStyleGAN

    [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

  • gangealing

    Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)

  • 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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  • anycost-gan

    [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

  • MobileStyleGAN.pytorch

    An official implementation of MobileStyleGAN in PyTorch

  • Cartoon-StyleGAN

    Fine-tuning StyleGAN2 for Cartoon Face Generation

  • alias-free-gan-pytorch

    Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch

  • stylegan2-projecting-images

    Projecting images to latent space with StyleGAN2.

  • Project mention: Getting Started with Gemma Models | dev.to | 2024-04-15

    A Colab notebook.

  • DeceiveD

    [NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

  • TargetCLIP

    [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

  • flaxmodels

    Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

  • FixNoise

    Official Pytorch Implementation for "Fix the Noise: Disentangling Source Feature for Controllable Domain Translation" (CVPR 2023, CVPRW 2022 Best paper)

  • ilo

    [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

  • Did-Somebody-Say-Corgi

    Image Synthesis + Corgis = <3

  • 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 | 2023-09-30

    Abstract: 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.

  • stylegan-waifu-generator

    Generate your waifu with styleGAN, stylegan老婆生成器

  • PixelAlchemist

    Semantic image editing in realtime with a multi-parameter interface for StyleCLIP global directions

  • pic-recon

    Code associated with the paper "Prior Image-Constrained Reconstruction using Style-Based Generative Models" accepted to ICML 2021.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Stylegan2 related posts

Index

What are some of the best open-source Stylegan2 projects? This list will help you:

Project Stars
1 PaddleGAN 7,674
2 BasicSR 6,177
3 VToonify 3,461
4 PyTorch-StudioGAN 3,363
5 stylegan2-pytorch 2,651
6 DualStyleGAN 1,557
7 gangealing 1,008
8 anycost-gan 768
9 MobileStyleGAN.pytorch 647
10 Cartoon-StyleGAN 629
11 alias-free-gan-pytorch 507
12 stylegan2-projecting-images 282
13 DeceiveD 249
14 TargetCLIP 228
15 flaxmodels 222
16 FixNoise 176
17 ilo 117
18 Did-Somebody-Say-Corgi 87
19 StyleDomain 23
20 stylegan-waifu-generator 22
21 PixelAlchemist 12
22 pic-recon 8

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