BlockGaussian: Efficient Large-Scale Scene Novel View Synthesis via Adaptive Block-Based Gaussian Splatting
Yongchang Wu, Zipeng Qi, Zhenwei Shi, Zhengxia Zou
2025-04-17
Summary
This paper talks about BlockGaussian, a new method that helps computers quickly and accurately create 3D models of huge scenes, allowing you to see those scenes from new angles, even if you only have a limited set of original views.
What's the problem?
The problem is that making 3D models of large spaces from photos or videos usually takes a lot of time and computer power, especially when you want the results to look realistic and be able to generate new viewpoints smoothly.
What's the solution?
The researchers developed BlockGaussian, which breaks the scene into smart sections based on what's actually in the image, then uses special techniques to make sure each part is blended together correctly and looks good from any angle. They also use tricks to make sure only the parts you can see are optimized, and they add rules to keep the 3D geometry accurate when combining everything.
Why it matters?
This matters because it makes it much faster and easier to create realistic 3D environments for things like video games, movies, virtual reality, or even online maps, all while using less computer power and still getting great results.
Abstract
BlockGaussian achieves efficient and high-quality large-scale 3D scene reconstruction by incorporating content-aware partitioning, visibility-aware optimization, and pseudo-view geometry constraints during merging.