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 是一种利用 Transformer 架构进行快速前馈 3D 生成的 3D 重建模型，能够在 0.5 秒内从单个图像生成 3D 网格。通过在数据处理、模型设计和训练技术方面进行实质性改进，TripoSR 在公共数据集上展现出比其他开源替代方案更优异的量化和定性表现。作为 MIT 许可下发布，TripoSR 旨在为研究人员、开发者和创意人员提供最新的 3D 生成 AI 技术。