TripoSR：从单张图像快速进行三维物体重建

摘要

本技术报告介绍了TripoSR，一种利用变压器架构进行快速前向3D生成的3D重建模型，能够从单个图像中在0.5秒内生成3D网格。在LRM网络架构的基础上，TripoSR整合了数据处理、模型设计和训练技术方面的重大改进。对公共数据集的评估显示，与其他开源替代方案相比，TripoSR在定量和定性上表现出卓越的性能。TripoSR采用MIT许可证发布，旨在为研究人员、开发人员和创意人员提供最新的3D生成AI技术进展。

English

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：从单张图像快速进行三维物体重建

TripoSR: Fast 3D Object Reconstruction from a Single Image

摘要

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