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- <h1 align="center"><strong>WORLDMEM: Long-term Consistent World Generation 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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+ <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.