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。 3.3 Text+X →X Ge...
训练速度:一台16卡 A100(40G)机器,9天 可完成训练; 性能:具有很强的zero-shotimage-to-text generation能力,同时因LLM而具有了视觉推理能力。 具体的Q-Former loss: ITC 、ITM 、image-ground text generation 比较特别的是ITG任务,与ALBEF中的MLM不同,这里改成了生成整句Text的任务,类似Captioning 橙色是共享...
In one embodiment, a method includes accessing first sets of tokens associated with a desired task and one or more modalities associated with a context of the desired task, determining a second set of tokens for each of the one or more modalities using a classifier network associated with the...
🔥🔥🔥VITA: Towards Open-Source Interactive Omni Multimodal LLM [📽 VITA-1.5 Demo Show! Here We Go! 🔥] [📖 VITA-1.5 Paper (Comming Soon)] [🌟 GitHub] [🤗 Hugging Face] [🍎 VITA-1.0] [💬 WeChat (微信)] We are excited to introduce theVITA-1.5, a more powerful and...
This paper describes the mechanisms for explanation generation in this interactive multimodal explanation system. The mechanisms needed for achieving the interactive features of explanation such as accepting follow-up questions, and the way of handling the temporality of explanation caused by the use of ...
We evaluate the multimodal generation result with GPT4 API. The script is under the folder ./src/eval. We evaluation the generation results by given the starting from validation set. The evaluation is from 3 aspects: image style consistency, story engaging, and text-image coherence. StyleEngagin...
(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...
(trial number: NCT03828747), which targets extracellular tau in AD, to reduce microglial activation and inflammatory responses43. Another drug is the LMTM (TRx0237)—a second-generation tau protein aggregation inhibitor currently being tested in a phase-3 clinical trial (trial number: NCT03446001)...
Image/Video Generation from Text:给定文本,生成相应的图像或视频。 Multimodal Machine Translation:给定一种语言的文本与该文本对应的图像,翻译为另外一种语言。 Vision-and-Language Navigation(视觉-语言导航): 给定自然语言进行指导,使得智能体根据视觉传感器导航到特定的目标。
如Figure 2 所示,Divter 由两个基于 Transformer 的组件组成:一个多模态对话回复生成器,和一个 text-to-image 转换器。Divter 将对话上下文作为输入,生成文本序列,该序列可以包含一个文本回复或一个文本形式的图像描述,也可以包含两者。text-to-image 转换器将以上的图像描述作为条件,生成逼真连续的高分辨率图像。