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Found 3 papers, 2 papers with code
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
In this paper, we re-examine the SID problem and identify two prevalent biases in current training paradigms, i. e., weakened artifact features and overfitted artifact features.
A Sanity Check for AI-generated Image Detection
This effectively enables the model to discern AI-generated images based on semantics or contextual information; Secondly, we select the highest frequency patches and the lowest frequency patches in the image, and compute the low-level patchwise features, aiming to detect AI-generated images by low-level artifacts, for example, noise pattern, anti-aliasing, etc.
DeViT: Deformed Vision Transformers in Video Inpainting
This paper proposes a novel video inpainting method.
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