Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Yikang Yang, Yajie Bao, Jiachen Qian, Siyu Zhu, Philip Torr, Xun Cao, Yao Yao
2025-05-26

Summary
This paper talks about Direct3D-S2, a new system that makes it much easier and faster for computers to create detailed 3D shapes and models, even at a very large scale.
What's the problem?
The problem is that making high-quality 3D shapes usually takes a ton of computer power and memory, which can be slow and expensive, especially when you want to create really big or detailed models.
What's the solution?
The researchers developed a way to use something called spatial sparse attention and sparse volumes, which basically means the computer only focuses on the important parts of the 3D space instead of everything at once. This makes the process much more efficient and allows for high-resolution 3D generation without needing as much computing power.
Why it matters?
This is important because it opens up the possibility for more people and companies to create complex 3D content for things like video games, movies, virtual reality, and scientific simulations, without needing super expensive computers.
Abstract
A scalable 3D shape generation framework using sparse volumes and spatial sparse attention, enabling high-resolution generation with reduced computational requirements.