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ObjSplat framework achieves active object reconstruction with Gaussian surfels

Researchers have developed ObjSplat, a novel framework for active object reconstruction that utilizes Gaussian surfels for high-fidelity digital asset creation. This system enhances reconstruction accuracy by modeling back-face visibility and occlusion-aware covisibility, enabling it to identify and reconstruct complex geometries. ObjSplat also employs an advanced planning strategy that optimizes for information gain and movement cost to generate efficient reconstruction trajectories, significantly reducing scan time and path length compared to existing methods. AI

RANK_REASON This is a research paper describing a new method for object reconstruction. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yuetao Li, Zhizhou Jia, Yu Zhang, Qun Hao, Shaohui Zhang ·

    ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction

    arXiv:2601.06997v2 Announce Type: replace-cross Abstract: Autonomous high-fidelity object reconstruction is fundamental for creating digital assets and bridging the simulation-to-reality gap in robotics. We present ObjSplat, an active reconstruction framework that leverages Gauss…