3.1 Text → X Generation 表3、表 4 和表 5 展示了NExT-GPT与一些最先进的模型之间的比较,总体而言,NExT-GPT 显示出与SOTA模型相当的良好性能。3.2 X → Text Generation 从表6、表 7 和表 8的结果来看,作者发现 NExT-GPT 在 X → Text生成方面比 CoDi 基线能取得更好的性能。
This is the GAIR Anole project, which aims to build and opensource large multimodal models with comprehensive multimodal understanding and generation capabilities. 👋 Overview Anoleis the firstopen-source,autoregressive, andnativelytrained large multimodal model capable ofinterleaved image-text generation(wi...
To address the problem where users, relying solely on their own knowledge, struggle to diagnose faults in consumer electronics promptly and accurately, we propose a multimodal knowledge graph-based text generation method. Our method begins by using deep learning models like the Residual Network (Res...
Claude 3.5 Sonnet.This model, developed by Anthropic, processes text and images to deliver nuanced, context-aware responses. Its ability to integrate multiple data types and formats enhances user experience in applications such as creative writing, content generation and interactive storytelling. Dall-E...
处理多模态数据：得到image-text pair；将image-text pair数据转化为embedding，存入Vector DB；将一个...
Compared to other multimodal tasks, the VQA task requires models with more powerful reasoning capabilities and diverse text generation capabilities. Using the VQA task to probe the cross-modal understanding of LLMs may provide a valuable guide for implementing generic multimodal LLMs. This paper ...
EasyGen handles image-to-text generation by integrating BiDiffuser and an LLM via a simple projection layer. Unlike most existing multimodal models that are limited to generating text responses, EasyGen can also facilitate text-to-image generation by leveraging the LLM to create textual descriptions,...
This paper develops a theoretical model of determinants influencing multimodal fake review generation using the theories of signaling, actor-network, motivation, and human–environment interaction hypothesis. Applying survey data from users of China’s t
• Text-free/conditioned Image/Video Synthesis; Temporal Coherence in Video Generation; Image/Video Editing/Inpainting; LLM-empowered Multimodal Generation • Multimodal Dialogue Response Generation; Image/Video Dialogue • Ima...
(RNN) model for image caption generation. Different from most existing work where the whole image is represented by a convolutional neural networks (CNN) feature, we propose to represent the input image as a sequence of detected objects to serve as the source sequence of the RNN model. Based...