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WebVi3D is a multi‑view image dataset containing 320 M frames extracted from 16 M video clips, used for training See3D models. The dataset expands training data by automatically filtering video clips with inconsistent multi‑view information or insufficient observations, yielding a high‑quality, diverse multi‑view image collection.
