Strong and Simple
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SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders
arXiv:2606.08634v1 Announce Type: new Abstract: The rapid advancement of generative models has blurred the boundary between synthetic and real imagery, creating an urgent need for reliable deepfake detection. Yet most existing approaches rely on massive real--fake datasets, which are increasingly difficult to maintain as new generators continue to emerge. In this work, we investigate how much information about image authenticity is already encoded in modern multimodal vision representations.
OmniGen-AR: AutoRegressive Any-to-Image Generation
arXiv:2606.09156v1 Announce Type: new Abstract: Autoregressive (AR) models have demonstrated strong potential in visual generation, offering superior performance with simple architectures and optimization objectives. However, existing methods are typically limited to single-modality conditions, e.g., text, restricting their applicability in real-world scenarios that demand image synthesis from diverse controls. In this work, we present OmniGen-AR, a unified autoregressive framework for...
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Quantum latent distributions in deep generative models
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Fixed Aggregation Features Can Rival GNNs
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PRA publishes liquidity reform proposals
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'Disclosure Day': Will Steven Spielberg deliver an audacious on-screen alien?
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Icy moons' ability to host life could be revealed through an ecology-based method
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FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics
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Is Apple Intelligence on your iPhone really secure?
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