This paper was accepted on the CV4Metaverse Workshop at CVPR 2025.
With speedy developments in digital actuality (VR) headsets, successfully measuring stereoscopic high quality of expertise (SQoE) has turn into important for delivering immersive and comfy 3D experiences. Nevertheless, most present stereo metrics give attention to remoted points of the viewing expertise equivalent to visible discomfort or picture high quality, and have historically confronted knowledge limitations. To deal with these gaps, we current SCOPE (Stereoscopic COntent Desire Analysis), a brand new dataset comprised of actual and artificial stereoscopic photographs that includes a variety of widespread perceptual distortions and artifacts. The dataset is labeled with choice annotations collected on a VR headset, with our findings indicating a notable diploma of consistency in person preferences throughout totally different headsets. Moreover, we current iSQoE, a brand new mannequin for stereo high quality of expertise evaluation skilled on our dataset. We present that iSQoE aligns higher with human preferences than present strategies when evaluating mono-to-stereo conversion strategies.
- † Work achieved whereas at Apple
- ‡ Weizmann Institute of Science
- § Massachusetts Institute of Know-how
- ¶ Unbiased researcher
