Stars
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
PyTorch implementations of Generative Adversarial Networks.
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation
A collection of loss functions with easy usage
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
[AAAI 2022] Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
ClickPrompt - Streamline your prompt design, with ClickPrompt, you can easily view, share, and run these prompts with just one click. ClickPrompt 用于一键轻松查看、分享和执行您的 Prompt。
【🔞🔞🔞 内含不适合未成年人阅读的图片】基于我擅长的编程、绘画、写作展开的 AI 探索和总结：StableDiffusion 是一种强大的图像生成模型，能够通过对一张图片进行演化来生成新的图片。ChatGPT 是一个基于 Transformer 的语言生成模型，它能够自动为输入的主题生成合适的文章。而 Github Copilot 是一个智能编程助手，能够加速日常编程活动。
We show you how to train a ControlNet with your own control hint in diffusers framework
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Convert from Basel Face Model (BFM) to the FLAME head model
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现