April 30, 2024, 4:48 a.m. | Yifei Gao, Jie Ou, Lei Wang, Jun Cheng

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.18669v1 Announce Type: cross
Abstract: Recent developments in neural rendering techniques have greatly enhanced the rendering of photo-realistic 3D scenes across both academic and commercial fields. The latest method, known as 3D Gaussian Splatting (3D-GS), has set new benchmarks for rendering quality and speed. Nevertheless, the limitations of 3D-GS become pronounced in synthesizing new viewpoints, especially for views that greatly deviate from those seen during training. Additionally, issues such as dilation and aliasing arise when zooming in or out. These …

3d scenes abstract academic arxiv become benchmarks bootstrap commercial cs.ai cs.cv cs.gr fields limitations neural rendering photo quality rendering set speed type

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