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MiniCPM-V and MiniCPM-o are multimodal LLM series designed for strong performance and efficient deployment on devices. MiniCPM-V focuses on efficient vision-language understanding across image, video and text inputs.

Open-source local AI video analyzer powered by Ollama. Visual search, automatic highlights, scene/action/object detection, audio analysis, and subtitle generation. Free, offline alternative to Twelve Labs, Runway, and Descript.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

[EMNLP2026] "VideoAgent: All-in-One Agentic Framework for Video Understanding and Editing, and Remaking"

Pixels are evidence of the physical world, not its ontology. A pixel-level observation records how the world appears at a particular moment and from a particular viewpoint, but does not directly specify what exists within it, how it is structured, or what governs its evolution.

Self-supervised video pretraining has so far relied on architectural machinery to avoid representation collapse: an EMA target encoder, a stop-gradient, a capacity-limited predictor (V-JEPA), or pixel-space reconstruction with a dedicated decoder (VideoMAE).

The release is organized around three user-facing workflows:

本地短视频反推 AI 视频生成提示词：抽帧、清晰度、节奏卡点、Agent Skill