1.1 为Stable Diffusion准备文本提示 为给定的类列表准备包含提示的一种选择是使用ChatGPT等大型语言模型生成句子。 然而,为了评估合成数据集的质量,需要依赖标准语义分割数据集,如PASCAL VOC或COCO来创建标准化基准。在这方面,提出使用这些数据集中提供的或生成的训练图像的标题作为SD的文本提示。这仅用于基准测试的标准...
著名的stable diffusion generative model训练集就包括了LAION5B。LAION-400M:下载原图和文本对的话,大概有10T左右。LAION-400M提供了400M数量的图文对,以及他们的CLIP embedding和kNN索引,因此可以对这个大数据集高效索引。索引网站:rom1504.github.io/clip-LAION-400M在收集数据时,做了一些过滤设定:...
This study aims to examine the potential of Stable Diffusion in construction, and the performance of convolutional neural network (CNN) models trained exclusively on SIs. A total of 82.01% of images synthesized are suitable for representing construction tasks. The CNN model trained on preprocessed ...
Although the dataset is generated for ShadowHand, our pipeline is customizable to other hands and settings. We provide the implementations for ShadowHand, Allegro, MANO, and the table-top scenario. Compared to a previous dataset generated by GraspIt!, our dataset is larger, stabler, and more ...
This project enables us to explore the power of stable diffusion in creating life like images. Running the Code Prerequisites To run the code, you will need: Python installed on your machine Jupyter Notebook or Google Colab for running the Python notebook Internet connection for downloading ...
This example uses dr-train-xl, which is designed for training Stable Diffusion XL models. If you want to train Stable Diffusion 1.x or Stable Diffusion 2.x models, use dr-train instead. dr-train-xl \ --pretrained-model-name-or-path 'stabilityai/stable-diffusion-xl-base-1.0' \ --data...
Resources Conv Demo Max-Pool Demo AI Art for Beginners NEW Deep Learning Curriculum NEW Stable Diffusion Masterclass NEW Quick Links Twitter Facebook Instagram Patreon Vlog Fitness YouTube Consilience Neurohacker Table of Contents Introducing Fashion-MNIST for machine learning Why study a dataset?
Moreover, another feasible method for dataset generation is based on text-to-image synthesis. For instance, cGANs (conditional Generative Adversarial Networks)25, VAEs (Variational Auto-Encoders)26, and the Stable Diffusion27 model have achieved remarkable success in generating high-quality images. ...
WildDeepfake is a dataset for real-world deepfakes detection which consists of 7,314 face sequences extracted from 707 deepfake videos that are collected completely from the internet. WildDeepfake is a small dataset that can be used, in addition to exist
本文提出了一种Dataset Diffusion框架生成具有像素级语义分割的合成数据集。通过利用 Stable Diffusion,该框架能够从指定的对象类产生高质量的语义分割和视觉逼真的图像。实验结果表明,Dataset Diffusion在VOC和COCO中具有卓越的mIoU,优于当前的DiffuMask方法。为使用生成模型创建具有精确注释的大规模数据集提供了新的思路。