AI RESEARCH
Speeding Up the Learning of 3D Gaussians with Much Shorter Gaussian Lists
arXiv CS.CV
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ArXi:2603.09277v1 Announce Type: new 3D Gaussian splatting (3DGS) has become a vital tool for learning a radiance field from multiple posed images. Although 3DGS shows great advantages over NeRF in terms of rendering quality and efficiency, it remains a research challenge to further improve the efficiency of learning 3D Gaussians. To overcome this challenge, we propose novel