EyeNavGS: A 6-DoF Navigation Dataset and Record-n-Replay Software for Real-World 3DGS Scenes in VR
Zihao Ding, Cheng-Tse Lee, Mufeng Zhu, Tao Guan, Yuan-Chun Sun, Cheng-Hsin Hsu, Yao Liu

TL;DR
EyeNavGS provides the first comprehensive 6-DoF navigation dataset with eye gaze data in real-world 3D Gaussian Splatting scenes, supporting research in VR rendering and scene understanding.
Contribution
This paper introduces a novel publicly available dataset and software tools for 6-DoF navigation and eye tracking in photorealistic 3DGS scenes, enabling new research opportunities.
Findings
Collected data from 46 participants across 12 scenes
Recorded head pose and eye gaze data during free navigation
Provided open-source record-and-replay software tools
Abstract
3D Gaussian Splatting (3DGS) is an emerging media representation that reconstructs real-world 3D scenes in high fidelity, enabling 6-degrees-of-freedom (6-DoF) navigation in virtual reality (VR). However, developing and evaluating 3DGS-enabled applications and optimizing their rendering performance, require realistic user navigation data. Such data is currently unavailable for photorealistic 3DGS reconstructions of real-world scenes. This paper introduces EyeNavGS (EyeNavGS), the first publicly available 6-DoF navigation dataset featuring traces from 46 participants exploring twelve diverse, real-world 3DGS scenes. The dataset was collected at two sites, using the Meta Quest Pro headsets, recording the head pose and eye gaze data for each rendered frame during free world standing 6-DoF navigation. For each of the twelve scenes, we performed careful scene initialization to correct for…
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Taxonomy
TopicsRobotics and Sensor-Based Localization · Advanced Image and Video Retrieval Techniques · Video Surveillance and Tracking Methods
