SOURCE-LINKED INTELLIGENCE

GenScale: A Benchmark for Relative Object Scale in Image Generation and Editing

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Modern image generation and editing systems can produce photorealistic, prompt-aligned images, but still often render familiar objects at implausible relative sizes. To measure this failure mode, we introduce GenScale, a benchmark and evaluation protocol for real-world relative object scale in image generation and editing. GenScale contains 900 image-level entries and 1,643 pairwise anchor-target scale relations across common-object generation, human-product generation with metric dimensions, and scale correction from failed generations. We further design a human-calibrated ordinal judge for s

Read original source ↗ Open in workspace

recordType

paper

region

Global