[CVPR2020]对抗性潜在自编码器
celeba 开源项目推荐(170 个)
celeba 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 170 个仓库一个用于人脸解析、识别、生成和编辑的大规模人脸数据集。
张量流实现的“BEGAN:边界均衡生成对抗网络”
Experiments for understanding disentanglement in VAE latent representations
Pytorch implementation of β-VAE
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Simple Implementation of many GAN models with PyTorch.
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
PyTorch Implementation of InfoGAN
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
To obtain high resolution face images from CelebA
Get started with CelebA-HQ dataset in under 5 mins !
MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
各种深度学习结构、模型和技巧的集合
修改后的h5tool.py使用户更容易获取名人总部
Tensorflow implementation of different GANs and their comparisions
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/celeba。
- 该话题在 GitHub 上共有 170 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.2 万 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。