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|[[Mastering Diverse Domains through World Models (DreamerV3)]] || 2023/01/10 ||[[arxiv:2301.04104v1]]<br>[https://danijar.com/project/dreamerv3/ blogpost] || || [[DeepMind]] || [[DreamerV3]] || | |[[Mastering Diverse Domains through World Models (DreamerV3)]] || 2023/01/10 ||[[arxiv:2301.04104v1]]<br>[https://danijar.com/project/dreamerv3/ blogpost] || || [[DeepMind]] || [[DreamerV3]] || | ||
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|[[Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (VALL-E)]] || 2023/01/05 ||[[arxiv:2301.02111]]<br>[https://valle-demo.github.io/ Demo] || || [[Micorsoft]] || [[VALL-E]] || | |||
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|[[Muse: Text-To-Image Generation via Masked Generative Transformers]] || 2023/01/02 ||[[arxiv:2301.00704]]<br>[https://muse-model.github.io/ blog post] || [[Computer Vision]] || [[Google]] || [[Muse]] || | |[[Muse: Text-To-Image Generation via Masked Generative Transformers]] || 2023/01/02 ||[[arxiv:2301.00704]]<br>[https://muse-model.github.io/ blog post] || [[Computer Vision]] || [[Google]] || [[Muse]] || | ||