A tool named Paper2Poster for converting academic papers into multimodal poster presentations has sparked heated discussions in academic circles and the AI community. This tool uses automation technology to convert complex academic papers into visually clear, information-efficient multimodal posters, saving researchers a lot of time and effort.
From Paper to Poster: A New Automation Experience
The core function of Paper2Poster is to automatically convert PDF-format academic papers (containing complex content such as text and charts) into structurally clear, visually friendly academic posters. Compared with traditional manual methods, this tool can generate posters within minutes, at a cost as low as $0.005, greatly reducing the threshold for academic dissemination. Tests show that the generated posters are superior to GPT-4-generated versions in readability and structural clarity, and surpass tools like PPTAgent in layout rationality.
This tool is based on Qwen2.5's multimodal framework, PosterAgent, which can efficiently parse paper content, extract key information, and generate PowerPoint format posters that comply with academic standards. Whether it’s the refinement of text or the presentation of charts, Paper2Poster demonstrates impressive automation capabilities.
Open Source and Low Cost: Empowering Global Researchers
Beyond its technical breakthroughs, Paper2Poster's open-source nature provides developers worldwide with opportunities for in-depth research and secondary development. The tool's open-source weights have been released on the HuggingFace platform, allowing users to use it for free and optimize it according to their needs. This open strategy significantly reduces the barriers to using academic tools, making it an important empowerment for resource-limited small and medium-sized research institutions and independent researchers.
In addition, Paper2Poster's low-cost feature makes it widely applicable in academic conferences and research presentations. For example, converting a 22-page paper into a poster costs only $0.0045, showcasing excellent cost-effectiveness.
Innovative Evaluation Mechanism: Ensuring Poster Quality
Beyond poster generation, Paper2Poster also introduces a poster quality evaluation mechanism, which is one of its standout features compared to other tools. The project team has released a Paper2Poster benchmark dataset containing 100 pairs of papers and posters to evaluate the quality of the generated posters. This mechanism not only provides data support for tool optimization but also offers academia a new standard for poster quality evaluation, promoting the standardized development of the multimodal content generation field.
Future Potential: Reshaping Academic Dissemination
The release of Paper2Poster marks another breakthrough in AI in the field of academic dissemination. Its efficient automation process, open-source development model, and low-cost generation method provide researchers with a new tool option. AIbase believes that as the tool continues to be optimized and user feedback accumulates, Paper2Poster has the potential to become a standard tool in academic conferences, research presentations, and educational fields.
However, the current tool still requires further validation in handling ultra-long papers or complex charts. Future optimization directions may include stronger multimodal parsing capabilities and more flexible layout designs. Regardless, the emergence of Paper2Poster has already brought revolutionary changes to the creation of academic posters.
Paper link: https://arxiv.org/abs/2505.21497