5ffe22eae70549fd820c816a33b7269d.mp4

Paper2Video: Automatic Video Generation from Scientific Papers

Paper2Video: Automatic Video Generation from Scientific Papers 5ffe22eae70549fd820c816a33b7269d.mp4

PaperTalker , which uses a pipeline of "builders" (Slide, Subtitle, Cursor, and Talker) to create synchronized academic presentations. 5ffe22eae70549fd820c816a33b7269d.mp4

You can find the dataset, code, and project details on the Official Project Page or the GitHub Repository . 5ffe22eae70549fd820c816a33b7269d.mp4

The video file is a sample from the Paper2Video dataset.

It is part of the research presented in the paper . This work introduces PaperTalker , a multi-agent framework designed to automatically transform academic papers into presentation videos featuring slides, narration, and a talking-head avatar. Key Paper Details

The Paper2Video benchmark contains 101 research papers paired with author-created presentation videos and metadata.