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Awesome GitHub RepositoriesInterleaved Multi-Image Processors

Models that accept multiple images interleaved in a single conversation turn for cross-image reasoning.

Distinct from Multi-Image Sample Processing: Distinct from Multi-Image Sample Processing: focuses on conversational interleaving of images rather than batch aggregation for a single sample.

Explore 3 awesome GitHub repositories matching graphics & multimedia · Interleaved Multi-Image Processors. Refine with filters or upvote what's useful.

Awesome Interleaved Multi-Image Processors GitHub Repositories

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  • formidablelabs/spectacleFormidableLabs 的头像

    FormidableLabs/spectacle

    10,136在 GitHub 上查看↗

    Spectacle is a React-based presentation framework that enables developers to author slide decks using JSX and MDX syntax. It provides a component-driven approach to building presentations, where slides are composed as React components with declarative layouts, theme-driven styling, and step-based animation sequencing. The framework distinguishes itself through its support for live coding demonstrations within slides, allowing presenters to execute and display code directly during a talk. It includes a presenter mode with dual-view architecture that shows speaker notes, a timer, and upcoming s

    Ships a layout component for positioning multiple images on a single presentation slide.

    TypeScriptkeynotepresentationreact
    在 GitHub 上查看↗10,136
  • qwenlm/qwen-vlQwenLM 的头像

    QwenLM/Qwen-VL

    6,535在 GitHub 上查看↗

    Accepts multiple images in a single turn for cross-image comparison and reasoning.

    Pythonlarge-language-modelsvision-language-model
    在 GitHub 上查看↗6,535
  • llava-vl/llava-nextLLaVA-VL 的头像

    LLaVA-VL/LLaVA-NeXT

    4,695在 GitHub 上查看↗

    LLaVA-NeXT 是一个多模态大语言模型框架和训练工具包,旨在处理交错的图像和视频序列以生成文本。它作为视觉语言模型,结合了视觉编码器与语言模型,能够执行复杂的推理、问答和视频理解任务。 该系统能够分析高分辨率图像和时序视频帧,从而描述事件、总结动作并跨多个视觉输入进行推理。它支持文档和图表解析、空间环境分析,以及为图像和视频生成描述性字幕。 该框架包含通过偏好优化来微调多模态模型的工具,以减少幻觉并提高准确性。它还提供了一个推理服务器,可通过 HTTP 后端将这些功能部署为 API 服务。

    Processes sequences of alternating text and visual tokens to enable complex reasoning across multiple images.

    Python
    在 GitHub 上查看↗4,695
  1. Home
  2. Graphics & Multimedia
  3. Image Processing & Editing
  4. Image Processing
  5. Multi-Image Sample Processing
  6. Interleaved Multi-Image Processors

探索子标签

  • Slide Image ArrangementsLayouts that position multiple images on a single slide, such as primary with companion images. **Distinct from Interleaved Multi-Image Processors:** Distinct from Interleaved Multi-Image Processors: focuses on visual slide layout, not cross-image reasoning.