Hexels：六边形面元让 3D 渲染与重建更省显存
Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction
新渲染基元 Hexels，六边形设计比 2DGS 省显存还更清晰，DTU 重建误差降了 28.9%，做 3D 重建的可以看看。
论文提出 Hexels，一种带一阶空间颜色场的六边形平面基元，用于 3D 场景与 2D 图像表示。在 34 个场景上，Hexels 的 PSNR 比显存对齐的 2DGS 高 4.53-7.38 dB，训练 VRAM 更低。单基元对比中最多领先 2DGS 4.74 dB，FPS 快 2.31 倍。表面重建方面，15 个 DTU 扫描上误差降低 28.9%，6 个 Tanks and Temples 场景平均 F1 达 34.38%，高于 2DGS 的 31.72%。
Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction
Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal surface elements with a first-order spatial color field for efficient 3D scene and 2D image representation. Hexels exploit locally planar regions with smoothly varying appearance using fewer, larger primitives. Their hexagonal support provides an area- and boundary-efficient domain, while the local color field captures appearance variation within each primitive. Across 34 scenes, Hexels improve PSNR over memory-matched 2DGS by 4.53-7.38 dB across datasets while requiring lower training VRAM. We further ablate Hexels by showing that per primitive, Hexels outperform 2DGS by upto 4.74 dB while using lower training VRAM and having 2.31 times faster FPS. Even in unconstrained settings, Hexels offers complementary quality-memory trade-offs. For efficient 3D surface reconstruction, Hexels reduce error by 28.9% compared with memory-matched 2DGS across 15 DTU scans. On 6 Tanks and Temples surface scenes, Hexels achieves the highest mean F1 among compared methods (34.38%, versus 31.72% for 2DGS). We further also show that Hexels, as a general primitive, improves 2D image representation over Image-GS. Hexels push the Pareto frontier on the quality-efficiency trade-off of surface-aligned primitives.