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Paper · arXiv

Beyond Visual Quality: Evaluating Physical Consistency under Ego-Motion with EgoGenEval

Recent visual generators produce high-fidelity images yet often violate physical consistency under ego-motion, limiting their use for spatial reasoning and embodied planning. Existing benchmarks largely focus on isolated images or single-step quality, leaving this challenge underexplored. We introduce EgoGenEval, a geometry-grounded, pose-free benchmark designed to evaluate the physical consistency of visual generators under ego-motion, and organize our study into two parts. (1) EgoGenEval contains 1,400 cases and 2,360 target views spanning single-step and multi-step ego-motion. It separately measures Camera Motion Grounding (CMG) and Scene State Preservation (SSP), with both metrics val...

AuthorsYilin Long, Chenming Zhu, Zitang Gou et al.
Primary categorycs.CV
Published10 September 2026
Last updated at source10 September 2026
cs.CVcs.AI
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