TripoSR: Fast 3D Object Reconstruction from a Single Image
This technical report introduces TripoSR, a 3D reconstruction model
leveraging transformer architecture for fast feed-forward 3D generation,
producing 3D mesh from a single image in under 0.5 seconds. Building upon the
LRM network architecture, TripoSR integrates substantial improvements in data
processing, model design, and training techniques. Evaluations on public
datasets show that TripoSR exhibits superior performance, both quantitatively
and qualitatively, compared to other open-source alternatives. Released under
the MIT license, TripoSR is intended to empower researchers, developers, and
creatives with the latest advancements in 3D generative AI.
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Zexiang Liu
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Yangguang Li
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Yangguang
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Ding Liang
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dingliang
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Christian Laforte
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Christian Laforte
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Varun Jampani
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Yan-Pei Cao
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Yanpei Cao
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TripoSR: Fast 3D Object Reconstruction from a Single Image
This technical report introduces TripoSR, a 3D reconstruction model
leveraging transformer architecture for fast feed-forward 3D generation,
producing 3D mesh from a single image in under 0.5 seconds. Building upon the
LRM network architecture, TripoSR integrates substantial improvements in data
processing, model design, and training techniques. Evaluations on public
datasets show that TripoSR exhibits superior performance, both quantitatively
and qualitatively, compared to other open-source alternatives. Released under
the MIT license, TripoSR is intended to empower researchers, developers, and
creatives with the latest advancements in 3D generative AI.
TripoSR, a 3D reconstruction model using transformer architecture, generates 3D meshes quickly from single images and outperforms alternatives.
transformer architecture 3D reconstruction model LRM network feed-forward 3D generation 3D mesh public datasets MIT license 3D generative AI