TideGS trains over 1B 3D Gaussian primitives on a 24GB GPU

Reframing 3D Gaussian Splatting as a working-set caching problem lets billion-scale scenes train without an 80GB GPU cluster

#ICML2026 TideGS trains over 1 BILLION 3D Gaussian primitives on a single 24GB GPU. No multi-GPU cluster. No 80GB H100 requirement. We rethink 3DGS training as a working-set caching problem instead of persistent VRAM residency. Key ide