仅使用图像模态信息,训练一个dVAE,latent特征即visual codebook。好处:将256x256图像特征降维至32x32的image tokens(每个token的embedding dim为8192),提升了低频语义信息占比,降低了计算量。 Stage2: Learning the Prior 第一阶段dVAE模型是fixed,image tokens与text token concat之后输入Transformer。 Q: prior modul...
(DALL-E)Zero-Shot Text-to-Image Generation 引用:Ramesh A, Pavlov M, Goh G, et al. Zero-shot text-to-image generation[C]//International conference on machine learning. Pmlr, 2021: 8821-8831. 论文链接:[2102.12092] Zero-Shot Text-to-Image Generation (arxiv.org) 代码链接:https://github....
本文也就是DALL·E,用3.3 million image-text pairs训练了一个12B参数的autoregressive transformer,实现了高质量可控的text to image,同时也有zero-shot的能力 project page Method 自回归式的模型处理图片的时候,如果直接把像素拉成序列,当成image token来处理,如果图片分辨率过高,一方面会占用过多的内存,另一方面Likel...
实现了高质量可控的text to image,同时也有zero-shot的能力。 DALL-E没有使用扩散模型,而是dVAE(discrete variational autoencoder离散变分自动编码器)。文中主要和GAN相关模型进行比较,如AttnGAN、DM-GAN、DF-GAM。 1. 介绍 自回归式的模型处理图片的时候,如果直接把像素拉成序列,当成image token来处理,如果图片分...
Text-to-image generation has traditionally focused on finding better modeling assumptions for training on a fixed dataset. These assumptions might involve complex architectures, auxiliary losses, or side information such as object part labels or segmentation masks supplied during training. We describe a ...
Zero-Shot Text-to-Image Generation 论文阅读笔记 摘要: 基于零样本(zero-shot)生成。使用两亿个文本-图像对训练。 公开源码(https://github.com/openai/DALL-E)不是很完善,缺了比如text encoder等关键部分。 这论文写得emmm不堪入目。 效果: 方法 训练阶段分两部分: 阶段一,压缩图片。训练一个discrete......
Zero-Shot Text-to-Image Generation A. Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, I. Sutskever 2021 CogView: Mastering Text-to-Image Generation via Transformers Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang...
Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic - YoadTew/zero-shot-image-to-text
Image credit: GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion ModelsBenchmarks Add a Result These leaderboards are used to track progress in Zero-Shot Text-to-Image Generation No evaluation results yet. Help compare methods by submitting evaluation metrics. ...
Official code base for paper EZIGen: Enhancing zero-shot subject-driven image generation with precise subject encoding and decoupled guidance - ZichengDuan/EZIGen