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Bolt3D: Generating 3D Scenes in Seconds
TL;DR: Feed-forward 3D scene generation in 6.25s on a single GPU. How it works Given one or more input images, we generate multi-view Splatter Images.
Our model adheres to conditioning when it is available and generates unobserved scene regions without any reprojection or inpainting mechanisms. We also thank George Kopanas, Sander Dieleman, Matthew Burruss, Matthew Levine, Peter Hedman, Songyou Peng, Rundi Wu, Alex Trevithick, Daniel Duckworth, Hadi Alzayer, David Charatan, Jiapeng Tang and Akshay Krishnan for valuable discussions and insights. Finally, we extend our gratitude to Shlomi Fruchter, Kevin Murphy, Mohammad Babaeizadeh, Han Zhang and Amir Hertz for training the base text-to-image latent diffusion model.
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