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Visual project page for Beckmann World Models

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Beckmann World Models

Academic project page at https://abecid.com/beckmann-world-models/.

The page contains a title and authors, a method figure, selected qualitative results, and quantitative results. Curated predictions retain recorded timing and checkpoint labels. Native evaluation resets recorded context every eight frames and scores VAE-reconstructed references.

Build using python3 scripts/build.py --public. The existing GitHub Actions workflow publishes dist-public.

This site repository contains no research code, model checkpoints, training data, or private manuscript. Internal review records are excluded from the public build.

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