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...
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...
Multimodal Data Textual Description Generation Modelobject detectiontext description generationmultimodal dataartificial intelligence— Object detection is actively used to search for the objects of predefined classes in an image. Object detection is actively used to search for objects of predetermined classes...
Image Generation from Audio: 给定声音,生成与其相关的图像。 Speech-conditioned Face generation:给定一段话,生成说话人的视频。 Audio-Driven 3D Facial Animation:给定一段话与3D人脸模版,生成说话的人脸3D动画。 3.4 Vision-Language Image/Video-Text Retrieval (图(视频)文检索): 图像/视频<-->文本的相互检索。
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. ...
and extensive experimental results demonstrate that VisionPrefer significantly improves text-image alignment in compositional image generation across diverse aspects, e.g., aesthetic, and generalizes better than previous human-preference metrics across various image distributions. Mo...
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,...
• 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...
Li B, Torr PHS, Lukasiewicz T (2022) Memory-driven text-to-image generation[J]. arXiv preprint arXiv:2208.07022 Zhu M, Pan P, Chen W et al (2019) DM-GAN: Dynamic memory generative adversarial networks for text-to-image synthesis[C]. In: 32nd IEEE/CVF conference on computer vision ...