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University of Electronic Science and Technology
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Role-aware training can boost video diffusion models' physical consistency by up to 39.4% without sacrificing visual fidelity.
Saliency detection in remote sensing gets a huge speed boost with ORSIFlow, a rectified flow approach that leaps ahead of slower diffusion-based methods.
By dynamically adapting activation functions at the pixel level, PAKAN achieves state-of-the-art performance in pansharpening, demonstrating the power of adaptive neural operators for image fusion.
