SOURCE-LINKED INTELLIGENCE
ATGS: Anchored Temporal Gaussian Splatting for Long Volumetric Video Representation
Volumetric video enables immersive free viewpoint rendering of dynamic real world scenes, yet existing methods struggle with long sequences and complex motions, often leading to temporal instability and visual artifacts. To address these challenges, we propose \ourname, a Gaussian splatting based framework for volumetric video reconstruction. Our key insight is that explicitly tracking long term complex motion with individual Gaussian primitives is inherently unstable. Instead, we organize Gaussians around time conditioned anchors that localize their spatial and temporal support, thereby reduc
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T03:09:16.000Z
First collected: 2026-09-21T07:22:03.933Z. This is not the publication date.