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The latest AI City Challenge reveals that integrating foundation models with synthetic data design can significantly boost performance in complex urban scenarios.
Achieving state-of-the-art image restoration efficiency, ScaleResfusion redefines how we leverage pre-trained generative models in real-world applications.
Forget memorizing manipulation artifacts: comparing against a reference library of authentic examples lets you spot forgeries and adapt to new domains without retraining.
Existing deepfake detectors fall apart when faced with realistic, multi-step editing pipelines, highlighting the need for methods that can trace the *history* of manipulations, not just detect a single forgery.
General-purpose vision-language models stumble when looking down from drones, but a new benchmark reveals that multi-task learning can substantially improve their aerial reasoning skills.
Achieve state-of-the-art video frame interpolation by making your diffusion model predict the past, not just the future.
