[CVPR2020]对抗性潜在自编码器
celeba-hq 开源项目推荐(16 个)
celeba-hq 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 全部 16
GitHub 共 16 个仓库,已全部展示Image Fine-grained Inpainting (Winner Award of ECCVW AIM 2020 Extreme Inpainting Track1&Track2)
Get started with CelebA-HQ dataset in under 5 mins !
修改后的h5tool.py使用户更容易获取名人总部
Supposed you've downloaded CelebA & CelebA-HQ dataset, and want to get HQ images from them.
Official PyTorch repository for Quaternion Generative Adversarial Networks.
Wasserstein GAN with gradient penalty tutoria, PyTorch ver.
TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.
PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512
PyTorch implementation of various Variational Autoencoder models
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
Neural Field Turing Machines for iterative image inpainting and denoising. BDMA research project extending the NFTM pipeline (Malhotra & Seghouani, 2025) to CelebA-HQ and real camera noise (SIDD), with comparisons against U-Net, TV-L1 and DDPM baselines.
Implementacija ključnih komponenti JND-LIC metode (Pan et al., 2025) zasnovana na CompressAI baseline-u, sa evaluacijom na portretima iz CelebA-HQ
Small VQGAN on CelebA-HQ 256x for LDM
A PyTorch implementation of conditional GANs (DCGAN + CLIP) to generate human faces from text prompts.
Progressive GAN on celebrity faces
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 16 个项目;原始页面见 https://github.com/topics/celeba-hq。
- 该话题在 GitHub 上共有 16 个仓库, 本站收录的是其中最热门的 16 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 16 个项目累计 4121 Star,覆盖 2 种主要语言,数据更新于 2026-11-09。
- 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。