u/sheqai

Generic video generation tools produce made-up results even when the source papers are passed to them. TeX2Vid fills this gap and converts complex LaTeX source files into paper-grounded videos using a multi-actor critic architecture, where all (writer actors’) responses are passed to critics with both stochastic and deterministic layers for evaluation. The process runs multiple rounds so that the final output includes all claims, results, figures, and tables exactly as in the paper; after that, the Beamer slides are built, the audio is synthesized, and the video is finally rendered. The final rendered video is again passed to an independent critic, who deterministically checks that the claims are faithful to the source paper. TeX2Vid supports most journals and conferences’ style files. Try it today at https://tex2vid.sheqai.com.

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Research Teaser: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Authors: Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo from Microsoft Research Asia, arXiv:2103.14030v2, https://doi.org/10.48550/arXiv.2103.14030. The paper is licensed under CC BY 4.0. The video is an adaption of the paper generated by SheQAI's tex-to-video tool tex2vid.sheqai.com.