Lune

CVPR2025Top-tier venue

PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding

Hongjia Zhai, Hai Li, Zhenzhe Li, Xiaokun Pan, Yijia He, Guofeng Zhang

2025Year
7Top-tier citations

Abstract

2 RayNeo OpenGaussian [45] OpenScene [30] Ours Ground Truth Figure 1. Open Vocabulary 3D Panoptic Scene Understanding. Visualization of open-vocabulary semantic segmentation (yellow boxes) and object query with text toilet (red boxes). Our PanoGS can achieve more accurate segmentation results and generate 3D instance-level results for open-vocabulary text queries, unlike previous methods that generate heatmaps between scene features and text queries.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 37afd42a-0cef-473e-816f-d193d382fdd8

Cited by top-tier papers7

Ask how each one uses it

Builds on33

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines