论文介绍 Zero-shot Image-to-Image Translation关注微信公众号: DeepGoAI项目地址: https://github.com/pix2pixzero/pix2pix-zero论文地址: https://arxiv.org/abs/2302.03027本文介绍了一种名为pix2pix-zero的…
## Pre title: Zero-shot Image-to-Image Translation accepted: Arxiv 2023 paper: https://arxiv.org/abs/2302.03027 code: https://github.com/pix2pixzero/p
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...
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...
However, if there has no access to enough images in target classes, learning a mapping from source classes to the target classes always suffers from mode collapse, which limits the application of the existing methods. In this work, we propose a zero-shot unsupervised image-to-image translation...
MultiGen: Zero-Shot Image Generation fromMulti-modal Prompts The field of text-to-image generation has witnessed substantial advancements in the preceding years, allowing the generation of high-quality images based s... Wu, Zhi-Fan,Huang, Lianghua,Wang, Wei,... - European Conference on Computer...
上图比较了zero-shot CLIP与现有基于ImageNet训练的模型在分布偏移数据集上的性能。观察到，相比于在...
CLIP的Zero-shot性能在某些任务上比较差。在区分汽车型号、花的种类、飞机型号等细粒度分类上，与任务...
In this comprehensive tutorial, discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model. Learn how to convert object detection datasets into instance segmentation datasets, and use these models to automatica
To this end, Zero-Shot Image Classification (ZIC) is proposed, which aims to make machines that can learn to classify unseen images like humans. The problem can be viewed from two different levels. Low-level technical issues are concerned by the general Zero-shot Learning (ZSL) problem which...