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SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
StyleGAN2-ADA - Official PyTorch implementation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Text to Image Generation with Semantic-Spatial Aware GAN
Face Image Generation using AttnGAN with CelebA Dataset
A natural language interface for computers
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A large-scale face dataset for face parsing, recognition, generation and editing.
[CVPR 2021] Multi-Modal-CelebA: A Large-Scale Text-Driven Face Generation and Understanding Dataset
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接：https://github.com/nickchen121/Pre-training-language-model 配套博客链接：https://www.cnblogs.com/nickchen121/p/1…
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Understanding Deep Learning - Simon J.D. Prince
Pytorch implementation for Controllable Text-to-Image Generation.
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
[CVPR2022 oral] A Simple and Effective Baseline for Text-to-Image Synthesis