AI RESEARCH
Gram-MMD: A Texture-Aware Metric for Image Realism Assessment
arXiv CS.CV
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ArXi:2604.03064v1 Announce Type: new Evaluating the realism of generated images remains a fundamental challenge in generative modeling. Existing distributional metrics such as the Frechet Inception Distance (FID) and CLIP-MMD (CMMD) compare feature distributions at a semantic level but may overlook fine-grained textural information that can be relevant for distinguishing real from generated images. We