The content introduces MVSplat, an efficient feed-forward 3D Gaussian Splatting model learned from sparse multi-view images. It focuses on accurate localization of Gaussian centers using a cost volume representation and demonstrates superior performance compared to pixelSplat. Extensive experimental evaluations showcase state-of-the-art results in RealEstate10K and ACID benchmarks with faster inference speed and higher quality. The method's key components, experiments, ablations, comparisons with existing methods, limitations, discussions, and future directions are discussed.
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by Yuedong Chen... at arxiv.org 03-22-2024
https://arxiv.org/pdf/2403.14627.pdfDeeper Inquiries