Representing 3D shapes as overlapping 2D slices rather than voxels dramatically reduces computational cost while improving topological correctness—a practical win for efficient 3D generation at scale.
SILSA is a 3D generation framework that uses compact sliding-window slice representations instead of expensive voxel tokens to generate high-resolution 3D shapes. By encoding cross-sections along three axes and adding topology supervision based on persistence diagrams, it achieves better structural quality while using 70% fewer tokens and running 58% faster than competing methods.