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PanoLAM: Large Avatar Model for Gaussian Full-Head Synthesis from One-shot Unposed Image
We present a feed-forward framework for static Gaussian full-head reconstruction and novel-view rendering from a single unposed image. Unlike previous work that relies on time-consuming GAN inversion and test-time optimization, our framework can reconstruct the Gaussian full-head model given a singl
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