Depth Peeling for High-Fidelity Gaussian-Enhanced Surfel Rendering
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 DP-GES, a novel representation that augments opaque surfels with semi-transparent boundaries and leverages Depth Peeling to establish accurate per-pixel ordering. This design enables sort-free Gaussian splatting with correct transmittance modulation, effectively eliminating aliasing and popping artifacts while fa...
| Authors | Keyang Ye, Hongzhi Wu, Kun Zhou |
|---|---|
| Primary category | cs.GR |
| Published | 25 May 2026 |
| Last updated at source | 25 May 2026 |
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