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gradio_demo/gradio_demo.py
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<h2><b>[CVPR'24 Oral] EscherNet: A Generative Model for Scalable View Synthesis</b></h2>
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<b>EscherNet</b> is a multiview diffusion model for scalable generative any-to-any number/pose novel view synthesis.
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Image views are treated as tokens and the camera pose is encoded by <b>CaPE (Camera Positional
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<a href='https://kxhit.github.io/EscherNet' target='_blank'>Project</a> <b>|</b>
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<a href='https://github.com/kxhit/EscherNet' target='_blank'>GitHub</a> <b>|</b>
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<h2><b>[CVPR'24 Oral] EscherNet: A Generative Model for Scalable View Synthesis</b></h2>
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524 |
<b>EscherNet</b> is a multiview diffusion model for scalable generative any-to-any number/pose novel view synthesis.
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525 |
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526 |
+
Image views are treated as tokens and the camera pose is encoded by <b>CaPE (Camera Positional Encoding)</b>.
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527 |
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528 |
<a href='https://kxhit.github.io/EscherNet' target='_blank'>Project</a> <b>|</b>
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<a href='https://github.com/kxhit/EscherNet' target='_blank'>GitHub</a> <b>|</b>
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