TideGS scales 3D Gaussian Splatting training to over one billion primitives on a single 24GB GPU via block-virtualized geometry, asynchronous I/O pipelines, and trajectory-adaptive differential streaming.
Character- izing & finding good data orderings for fast conver- gence of sequential gradient methods.arXiv preprint arXiv:2202.01838,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization
TideGS scales 3D Gaussian Splatting training to over one billion primitives on a single 24GB GPU via block-virtualized geometry, asynchronous I/O pipelines, and trajectory-adaptive differential streaming.