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