Instantmesh

🚀 InstantMesh

InstantMesh is a feed - forward framework for instant 3D mesh generation from a single image. It offers state - of - the - art generation quality and significant training scalability, aiming to contribute to the 3D generative AI community.

🚀 Quick Start

We present InstantMesh, a feed - forward framework for instant 3D mesh generation from a single image. It features state - of - the - art generation quality and significant training scalability.

By combining the advantages of an off - the - shelf multiview diffusion model and a sparse - view reconstruction model based on the LRM architecture, InstantMesh can create diverse 3D assets within 10 seconds. To improve training efficiency and utilize more geometric supervisions such as depths and normals, we integrate a differentiable iso - surface extraction module into our framework and directly optimize on the mesh representation.

Experimental results on public datasets show that InstantMesh significantly outperforms other latest image - to - 3D baselines, both qualitatively and quantitatively.

We release all the code, weights, and demo of InstantMesh, hoping it can make great contributions to the community of 3D generative AI and benefit both researchers and content creators.

🔗 Links

• Code: https://github.com/TencentARC/InstantMesh
• Arxiv: https://arxiv.org/abs/2404.07191

📄 License

The project is licensed under the Apache - 2.0 license.