DeblurNVS restores geometric representations via latent diffusion to enable high-fidelity novel view synthesis directly from sparse motion-blurred inputs.
Sr3r: Rethinking super-resolution 3d reconstruction with feed-forward gaussian splatting
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The paper proposes a problem-driven taxonomy for feed-forward 3D scene modeling that groups methods by five core challenges: feature enhancement, geometry awareness, model efficiency, augmentation strategies, and temporal-aware modeling.
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Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective
The paper proposes a problem-driven taxonomy for feed-forward 3D scene modeling that groups methods by five core challenges: feature enhancement, geometry awareness, model efficiency, augmentation strategies, and temporal-aware modeling.