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RESELF achieves unprecedented accuracy in 3D scene reconstruction and motion estimation from egocentric video, outperforming traditional methods that tackle these challenges separately.
Achieve high-quality semantic segmentation on low-quality images by injecting segmentation priors into image restoration, outperforming existing methods that focus solely on pixel-level fidelity.