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README.md
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<br>
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<p align="center">
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<h1 align="center"><strong>WORLDMEM: Long-term Consistent World
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<p align="center"><span><a href=""></a></span>
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<a href="https://xizaoqu.github.io">Zeqi Xiao<sup>1</sup></a>
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<a href="https://nirvanalan.github.io/">Yushi Lan<sup>1</sup></a>
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## 👏 Acknowledgements
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- [Diffusion Forcing](https://github.com/buoyancy99/diffusion-forcing): Diffusion Forcing provides flexible training and inference strategies for our methods.
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- [Minedojo](https://github.com/MineDojo/MineDojo): We collect our Minecraft dataset from Minedojo.
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- [Open-oasis](https://github.com/etched-ai/open-oasis): Our model architecture is based on Open-oasis. We also use pretrained VAE and DiT weight from it.
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<br>
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<p align="center">
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<h1 align="center"><strong>WORLDMEM: Long-term Consistent World Simulation with Memory</strong></h1>
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<p align="center"><span><a href=""></a></span>
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<a href="https://xizaoqu.github.io">Zeqi Xiao<sup>1</sup></a>
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<a href="https://nirvanalan.github.io/">Yushi Lan<sup>1</sup></a>
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## 👏 Acknowledgements
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- [Diffusion Forcing](https://github.com/buoyancy99/diffusion-forcing): Diffusion Forcing provides flexible training and inference strategies for our methods.
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- [Minedojo](https://github.com/MineDojo/MineDojo): We collect our Minecraft dataset from Minedojo.
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- [Open-oasis](https://github.com/etched-ai/open-oasis): Our model architecture is based on Open-oasis. We also use pretrained VAE and DiT weight from it.
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