Sign inGet started
Paper · arXiv

P-GSVC: Layered Progressive 2D Gaussian Splatting for Scalable Image and Video

Gaussian splatting has emerged as a competitive explicit representation for image and video reconstruction. In this work, we present P-GSVC, the first layered progressive 2D Gaussian splatting framework that provides a unified solution for scalable Gaussian representation in both images and videos. P-GSVC organizes 2D Gaussian splats into a base layer and successive enhancement layers, enabling coarse-to-fine reconstructions. To effectively optimize this layered representation, we propose a joint training strategy that simultaneously updates Gaussians across layers, aligning their optimization trajectories to ensure inter-layer compatibility and a stable progressive reconstruction. P-GSVC...

AuthorsLongan Wang, Yuang Shi, Wei Tsang Ooi
Primary categorycs.CV
Published11 March 2026
Last updated at source11 March 2026
cs.CVcs.MM
Embed this entry
<iframe src="https://silytics.si/embed/item/c6d85289-710f-4a45-a5e7-06f1301153a3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.