guochengqian/Magic123

Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Jupyter NotebookPythonCudaC++ShellC3d-generationdiffusion-modelsimage-to-3d
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Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors arXiv | webpage Guocheng Qian 1,2, Jinjie Mai 1, Abdullah Hamdi 3, Jian Ren 2, Aliaksandr Siarohin 2, Bing Li 1, Hsin-Ying Lee 2, Ivan Skorokhodov 1,2, Peter Wonka 1, Sergey Tulyakov 2, Bernard Ghanem 1 1 King Abdullah University of Science and Technology (KAUST), 2 Snap Inc., 3 Visual Geometry Group, University of Oxford Training convergence of a demo example: Compare Magic123 without textual inversion...
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