a) Transformer仅用来融合image与text tokens,不直接生成图像,图像生成最终还是使用dVAE的Decoder。 文章中说训练过程dVAE的decoder是fixed,那就说明使用了dVAE。 b) Transformer的Decoder既可以自回归图像,又可以自回归文本(文本本来输入)。 文章说transformer的Loss有两部分,一部分是cross entropy for text,另一部分是...
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.com/openai/DALL-E 简介 传统上,文本到图像生成...
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...
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...
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 ...
Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic - YoadTew/zero-shot-image-to-text
The field of text-to-image generation has witnessed substantial advancements in the preceding years, allowing the generation of high-quality images based solely on text prompts. However, accurately describing objects through text alone is challenging, necessitating the integration of additional modalities ...
In this paper, we introduce a new task, zero- shot text-to-video generation, and propose a low-cost ap- proach (without any training or optimization) by leveraging the power of existing text-to-image synthesis methods (e.g. Stable Diffusio...
Language Models Can See: Plugging Visual Controls in Text Generation text-generationimage-captioningunsupervised-learningclipzero-shotstory-generationmultimodalgpt-2plug-and-play-language-models UpdatedJun 1, 2022 Python Load more… Add a description, image, and links to thezero-shottopic page so that...
In this paper, we introduce a new task of zero-shot text-to-video generation and propose a low-cost approach (without any training or optimization) by leveraging the power of existing text-to-image synthesis methods (e.g., Stable Diffusion), making them suitable for the video domain. Our...