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OpenGVLab
Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持W…
OPENAGENTSKILL / DIRECTORY
Trouvez un skill pour votre prochaine tâche avec Codex, Claude Code, Cursor et plus encore.
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Explore the skillOpenGVLab
Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持W…
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Explore the skillakanimax
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
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Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
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Explore the skillyitong91
StoryGAN: A Sequential Conditional GAN for Story Visualization
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Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthe…
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Explore the skill3dhumangan
A 3D-aware generative adversarial network (GAN) that synthesizes images of full-body humans with consistent appearances under different view-angles and body-poses.
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Explore the skillzhangqianhui
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
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A list of all named GANs!
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Discovering Interpretable GAN Controls [NeurIPS 2020]
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Explore the skillPeterWang512
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
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Explore the skillskycrapers
A PyTorch Reimplementation of TecoGAN: Temporally Coherent GAN for Video Super-Resolution
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Explore the skillPeterWang512
Rewriting Geometric Rules of a GAN: Warp a GAN model to customized, out-of-domain shapes.
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Explore the skillbryandlee
PyTorch Implementation of In-Domain GAN Inversion for StyleGAN2
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Explore the skillproceduralia
GANs for time series generation in pytorch
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Explore the skillimfing
🖼 Create artwork from your casual sketch with GAN and style transfer
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Explore the skillAI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有te…