showlab/Paper2Video

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2368 stars · 326 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Paper2Video is a Python pipeline that automatically generates academic presentation videos from scientific papers, taking a paper PDF, a speaker image, and a reference audio sample as input. It coordinates slide creation, subtitles, speech synthesis, and a talking-head presenter, and also provides a benchmark dataset for evaluating generated presentation videos.

Use cases

• turn an arxiv paper into a presentation video
• automatically generate slides and narration from a pdf paper
• create a talking-head video presenting my research paper
• make academic presentation videos without recording
• evaluate ai-generated presentation videos
• generate conference-style video summaries of papers

When to choose

• you want to automate producing presentation videos from research papers
• you need aligned slides, subtitles, speech, and talking-head output
• you are researching multimodal video generation or evaluation of presentations

When to avoid

• you need polished, human-quality video editing with fine creative control
• you lack GPU resources or LLM API access for inference
• you want generic text-to-video generation unrelated to academic papers

Facets

library · maturity active

video-processing llm-inference tts agent-framework machine-learning artificial-intelligence large-language-models education python cross-platform paper2video presentation-generation talking-head slides-generation academic-communication multimodal video natural-language-processing gpu

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markdown · JSON · MCP: product_card(name="showlab/Paper2Video")