In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question answering. While generative models provide a consistent network architecture between pre-training and fine-tuning...
Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang |May 2022 Published by Microsoft In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question answering. W...
根据句子描述合成图像的任务与其反过程相比(Image caption:给定一张图像,自动生成一句话来描述这张图),Image caption可以转化为根据图片内容和前面的词去预测下一个词,但是对于合成图像,可能有很多种像素的排列都能够表现出当前描述的内容,所以比较困难。要解决句子描述问题,要从两个子问题入手:一是学习好的文本表示,让...
the image and text pre-trained encoder processes its respective input and transforms it into a high-dimensional vector representation, or anembedding. The embeddings of the image and text are then compared to determine their similarity, such as cosine similarity...
Image Captioning nocaps-XD in-domain GIT2 CIDEr 124.18 # 1 Compare B188.86# 1 Compare B275.86# 2 Compare B359.94# 2 Compare B441.1# 2 Compare ROUGE-L63.82# 2 Compare METEOR33.83# 1 Compare SPICE16.36# 1 Compare Image Captioningnocaps-XD near-domainGIT2CIDEr125.51# 1 ...
1. learning a text feature representation that captures the important visual deatails ; 2. use these features to synthesize a compelling image that a human might mistake for real. 幸运的是,深度学习对这两个问题都有了较好的解决方案,即:自然语言表示和image synthesis。
git clone https://github.com/microsoft/GenerativeImage2Text.gitcdGenerativeImage2Text Install the package pip install -r requirements.txt python setup.py build develop Inference Inference on a single image or multiple frames: #single image, captioningAZFUSE_TSV_USE_FUSE=1 python -m generativeimag...
image generators, take time to carefully consider context and clarity when articulating your vision for the scene you’re trying to create. Utilizing structure effectively when writing text-to-image prompts for AI image generators can help improve the clarity and specificity of the images they ...
GAN先生成小图,再生成大图。 大概流程:先有一个Generator1吃文字描述(先要embedding变成φt)生成一个64×64的小图片,然后经过一个...生成对象。ConditionalGAN和GAN的Generator是一样的,差别就是在Discriminator。 2.Text-to-Image2.1 Traditional 使用tensorflow1.0.1搭建StackGan用于文字生成各种花鸟图片 ...
对于Image-to-3D任务,输入是一张单视图的图像,可能还包括前景遮罩,用于指示图像中的对象。 对于Text-to-3D任务,输入是一个文本提示,描述了想要生成的3D对象或场景。 输出: 输出是一组3D高斯函数,这些函数定义了场景的几何形状和外观属性,以及一个与之相关的带纹理的网格模型,该网格模型可以在3D空间中进行渲染和动...