Data-to-Text Generation (D2T NLG) can be described as Natural Language Generation from structured input. Unlike other NLG tasks such as, Machine Translation or Question Answering (also referred as Text-to-Text Generation or T2T NLG) where requirement is to generate textual output using some ...
Text-to-Text Generation Fill-Mask Vector Database Introduction PostgresML is a machine learning extension to PostgreSQL that enables you to perform training and inference on text and tabular data using SQL queries. With PostgresML, you can seamlessly integrate machine learning models into your Postgre...
NLP的RLHF中训练的Reward model数据集相对更好收集,模型也容易拟合(两个文本选出一个更好的文本,争议没有那么大)。但文生图就难很多(图片维度更高,更重视生成细节),存在 反事实(artifacts)、不真实(implausibility)、图文不一致(misalignment with text descriptions)、美学质量差(low aesthetic quality)等问题,这篇...
Controllable Text-to-Image Generation 论文阅读笔记 github代码地址:https://github.com/mrlibw/ControlGAN 关键词:T2I,文本生成图像,ControlGAN Introduction: 现在的许多模型如果改变了输入文本的其中一个部分,那么输出的图片会与原来文本生成的图片大相径庭,没法实现一部分的修改。如下图所示。 controlGAN,由三个部...
Text-to-music generation and text-to-video with audio would be nice wouldn’t it? I’ll try to research these out and see how far we are from them and present my findings in a future post. To be informed when new content like this is posted, subscribe to the mailing list: Posted ...
提出了一个Text2Image Transformer model:Muse。在Text2Image的SOTA方法中,Muse的速度比基于diffusion models和AutoRegressive model的方法更快,而且在性能上非常出色。 2、方法 图1,Muse Framework 图1展示了Muse的整体框架。与DALL·E 2和IMAGEN等Text2Image大模型类似,Muse采用”生成+超分“的级联方式获得高分辨率图。具...
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang. arXiv 2024. [PDF]U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation. You Wu, Kean Liu, Xiaoyue Mi, Fan Tang,...
【论文笔记】Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State Tracking unix编程算法数据结构 现有的方法利用 BERT 编码器和基于拷贝的 RNN 解码器,其中编码器预测状态操作,并由解码器生成新的插槽值。然而,在这种堆叠的编码器 - 解码器结构中,操作预测目标 只影响 BERT 编...
首先介绍一下open-set Grounded Text2Img Generation,它是一个框架,它可以根据文本描述和定位指令生成图像。定位指令提供有关图像的附加信息,例如边界框、深度图、语义地图等。所提出的框架可以在不同类型的定位指令上进行训练,例如检测数据、检测+字幕数据和定位数据。该模型在COCO2014数据集上进行评估,同时在图像质量...
Knowledge-graph-to-text (KG-to-text) generation aims to generate high-quality texts which are consistent with input graphs. Description from: [JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs](https://arxiv.org