Package: ppgan
English |简体中文PaddleGANPaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and supports developers to quickly build, train and deploy GANs for academic, entertainment and industrial usage.GAN-Generative Adversarial Network, was praised by "the Father of Convolutional Networks"Yann LeCun (Yang Likun)as[One of the most interesting ideas in the field of computer science in the past decade]. It's the one research area in deep learning that AI researchers are most concerned about.🎪 Hot Activities2021.4.15~4.22GAN 7 Days Course Camp: Baidu Senior Research Developers help you learn the basic and advanced GAN knowledge in 7 days!Courses videos and related materials:https://aistudio.baidu.com/aistudio/course/introduce/16651🚀 Recent Updates🔥Latest Release:PP-MSVSR🔥Video Super Resolution SOTA models😍Boy or Girl？：StyleGAN V2 Face Editing-Changing genders！😍Online Toturials👩‍🚀A Space Odyssey ：LapStyleimage translation take you travel around the universe👨‍🚀Online Toturials🧙‍♂️Latest Creative Project：create magic/dynamic profile for your student ID in Hogwarts🧙‍♀️Online Toturials💞 Add Face Morphing function💞 : you can perfectly merge any two faces and make the new face get any facial expressions!Tutorials:https://aistudio.baidu.com/aistudio/projectdetail/2254031Publish a new version of First Oder Motion model by having two impressive features:High resolution 512x512Face EnhancementTutorials:https://github.com/PaddlePaddle/PaddleGAN/blob/develop/docs/zh_CN/tutorials/motion_driving.mdNew image translation ability--transfer photo into oil painting style:Complete tutorials for deployment:https://github.com/wzmsltw/PaintTransformerDocument TutorialInstallationEnvironment dependence:PaddlePaddle >= 2.1.0Python >= 3.6CUDA >= 10.1Full installation tutorialStarter TutorialQuick startData PreparationInstruction of APIsInstruction of Config FilesModel TutorialPixel2PixelCycleGANLapStylePSGANFirst Order Motion ModelFaceParsingAnimeGANv2U-GAT-ITPhoto2CartoonWav2LipSingle Image Super Resolution(SISR)Video Super Resolution(VSR)StyleGAN2Pixel2Style2PixelComposite ApplicationVideo restoreOnline TutorialYou can run those projects in theAI Studioto learn how to use the models above:Online TutoriallinkMotion Driving-multi-personal "Mai-ha-hi"Click and TryRestore the video of Beijing hundreds years agoClick and TryMotion Driving-When "Su Daqiang" sings "unravel"Click and TryExamplesFace MorphingImage TranslationOld video restoreMotion drivingSuper resolutionMakeup shifterFace cartoonizationRealistic face cartoonizationPhoto animationLip-syncingChangelogv2.1.0 (2021.12.8)Release a video super-resolution model PP-MSVSR and multiple pre-training weightsRelease several SOTA video super-resolution models and their pre-trained models such as BasicVSR, IconVSR and BasicVSR++Release the light-weight motion-driven model(Volume compression: 229M->10.1M), and optimized the fusion effectRelease high-resolution FOMM and Wav2Lip pre-trained modelsRelease several interesting applications based on StyleGANv2, such as face inversion, face fusion and face editingReleased Baidu’s self-developed and effective style transfer model LapStyle and its interesting applications, and launched the official websiteexperience pageRelease a light-weight image super-resolution model PANv2.0.0 (2021.6.2)ReleaseFisrt Order Motionmodel and multiple pre-training weightsRelease applications that supportMulti-face action drivenRelease video super-resolution modelEDVRand multiple pre-training weightsRelease the contents of7-day punch-in training campcorresponding to PaddleGANEnhance the robustness of PaddleGAN running on the windows platformv2.0.0-beta (2021.3.1)Completely switch the API of Paddle 2.0.0 version.Release of super-resolution models: ESRGAN, RealSR, LESRCNN, DRN, etc.Release lip migration model: Wav2LipRelease anime model of Street View: AnimeGANv2Release face animation model: U-GAT-IT, Photo2CartoonRelease SOTA generation model: StyleGAN2v0.1.0 (2020.11.02)Release first version, supported models include Pixel2Pixel, CycleGAN, PSGAN. Supported applications include video frame interpolation, super resolution, colorize images and videos, image animation.Modular design and friendly interface.CommunityScan OR Code below to join [PaddleGAN QQ Group：1058398620], you can get offical technical support  here and communicate with other developers/friends. Look forward to your participation!PaddleGAN Special Interest Group（SIG）It was first proposed and used byACM（Association for Computing Machinery)in 1961. Top International open source organizations includingKubernatesall adopt the form of SIGs, so that members with the same specific interests can share, learn knowledge and develop projects. These members do not need to be in the same country/region or the same organization, as long as they are like-minded, they can all study, work, and play together with the same goals~PaddleGAN SIG is such a developer organization that brings together people who interested in GAN. There are frontline developers of PaddlePaddle, senior engineers from the world's top 500, and students from top universities at home and abroad.We are continuing to recruit developers interested and capable to join us building this project and explore more useful and interesting applications together.SIG contributions:zhen8838: contributed to AnimeGANv2.Jay9z: contributed to DCGAN and updated install docs, etc.HighCWu: contributed to c-DCGAN and WGAN. Support to usepaddle.vision.datasets.hao-qiang&minivision-ai: contributed to the photo2cartoon project.ContributingContributions and suggestions are highly welcomed. Most contributions require you to agree to aContributor License Agreement (CLA)declaring.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA. Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
For more, please referencecontribution guidelines.LicensePaddleGAN is released under theApache 2.0 license.