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  • title: ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
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            ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
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            ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction

            Dez 6, 2021

            Sprecher:innen

            GY

            Gengshan Yang

            Speaker · 0 followers

            DS

            Deqing Sun

            Speaker · 0 followers

            VJ

            Varun Jampani

            Speaker · 0 followers

            Über

            We introduce ViSER, a method for recovering articulated 3D shapes and dense 3D part trajectories from monocular videos. Previous work on high-quality reconstruction of dynamic 3D shapes typically relies on multiple camera views, strong category-specific priors, or 2D keypoint supervision. We show that none of these are required with reliable estimation of long-range 2D point correspondences, making use of only 2D object masks and two-frame optical flow as inputs. ViSER infers correspondences by…

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            NeurIPS 2021

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