Presentation
LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images
SessionInvited: Posters
Description3D Gaussian Splatting (3DGS) provides high-fidelity novel-view synthesis but struggles in online long-sequence scenarios due to slow per-scene optimization and inefficient frame-wise updates. We present LongSplat, a real-time online 3D Gaussian reconstruction framework for long image streams. LongSplat maintains a global 3DGS set and introduces a streaming update strategy that compresses redundant historical Gaussians while adding new ones by comparing current observations with past states. A key component is the Gaussian-Image Representation (GIR), which encodes 3D Gaussian parameters into an image-like structure, enabling redundancy compression and fusion across frames. LongSplat achieves state-of-the-art efficiency–quality trade-offs with significantly reduced Gaussian counts.
Contributor
Event Type
Invited Poster
Poster
TimeMonday, 15 December 20259:00am - 6:00pm HKT
LocationChancellor 1+2, Level 4