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arXiv Computer Vision By Haofei Xu, Daniel Barath, Andreas Geiger, Marc Pollefeys

ReSplat: Learning Recurrent Gaussian Splatting

Read the original on arXiv Computer Vision →

ReSplat introduces a recurrent Gaussian splatting model that iteratively refines 3D Gaussians using the rendering error as a feedback signal, avoiding explicit gradient computation. The method starts from a compact reconstruction in a subsampled space, producing far fewer Gaussians than prior per‑pixel models, which reduces computational cost. Experiments on multiple datasets, view counts, and resolutions show state‑of‑the‑art performance with faster rendering speeds.

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