Depth Peeling for High-Fidelity Gaussian-Enhanced Surfel Rendering 事件

Depth Peeling for High-Fidelity Gaussian-Enhanced Surfel Rendering arXiv:2605.25345v1 Announce Type: cross Abstract: Novel view synthesis has been significantly advanced by NeRFs and 3D Gaussian Splatting (3DGS), which require ordering volumetric samples or primitives for correct color blending. While the recent Gaussian-Enhanced Surfels (GES) enable high-performance, sort-free rendering, they suffer from aliasing artifacts and suboptimal reconstruction. To address these limitations, we propose