AI RESEARCH
StableI2I: Spotting Unintended Changes in Image-to-Image Transition
arXiv CS.AI
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ArXi:2605.04453v1 Announce Type: cross In most real-world image-to-image (I2I) scenarios, existing evaluations primarily focus on instruction following and the perceptual quality or aesthetics of the generated images. However, they largely fail to assess whether the output image preserves the semantic correspondence and spatial structure of the input image.