用深度剥层技术解决高保真表面点渲染中的伪影问题
Depth Peeling for High-Fidelity Gaussian-Enhanced Surfel Rendering
- 引入半透明边界与深度剥层实现无需排序的精准像素顺序
- 消除混叠和闪烁伪影，重建质量超越现有方法
- 适合追求高质量3D渲染的图形学研究者
新型视图合成技术得益于NeRF和3D高斯泼溅（3DGS），其正确颜色混合依赖体素采样或基元的排序。近期的高斯增强表面点（GES）虽实现了高性能无排序渲染，但仍存在混叠伪影和重建不优的问题。为此，我们提出DP-GES，通过在不透明表面点上添加半透明边界，并利用深度剥层建立精确的每像素排序，实现无需排序的高斯泼溅与正确透射调节。该设计有效消除混叠与跳变伪影，支持全可微分联合优化。大量实验表明，本方法在多种场景下均实现更优的重建质量，优于当前先进方法。
原文摘要 · Abstract (English)
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 facilitating a fully differentiable joint optimization. Extensive experiments demonstrate that our method achieves superior reconstruction quality and compares favorably against state-of-the-art techniques across a wide range of scenes.
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