StableI2I is a unified evaluation framework and benchmark that measures content fidelity and pre-post consistency in image-to-image tasks without needing reference images, showing strong correlation with human judgments.
- State which changes are allowed ONLY if they occur strictly inside the intended target region(s)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
StableI2I: Spotting Unintended Changes in Image-to-Image Transition
StableI2I is a unified evaluation framework and benchmark that measures content fidelity and pre-post consistency in image-to-image tasks without needing reference images, showing strong correlation with human judgments.