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Achieving high-fidelity low-light image enhancement without the common pitfalls of color distortion and structural artifacts could redefine standards in vision tasks.
Achieving state-of-the-art dehazing performance with a zero-shot approach, this method leverages 2D Gaussian Splatting to redefine how we model hazy images.
Fi-Gaussian recovers fine details in dehazed images by decoupling low and high-frequency information, outperforming traditional methods that struggle with detail preservation.
Achieve superior low-light image enhancement by decoupling illumination from signal priors, guiding a dual-stream transformer to iteratively enhance images while preserving fine details.
