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Hexels use hexagonal primitives for more efficient 3D scene rendering

Original title: Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction

arXiv cs.AI / cs.LG / cs.CLby Prakhar Kaushik ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Across 34 scenes, Hexels beat memory-matched 2DGS by 4.53-7.38 dB PSNR with lower training VRAM.

The paper introduces Hexels, planar hexagonal surface elements with a first-order spatial color field for novel-view synthesis and reconstruction. On 34 scenes they improve PSNR over memory-matched 2DGS by 4.53-7.38 dB while using less training VRAM. Surface error falls 28.9% versus memory-matched 2DGS on 15 DTU scans, and mean F1 reaches 34.38% on six Tanks and Temples scenes, versus 31.72% for 2DGS.

Key facts
  • Per primitive, Hexels beat 2DGS by up to 4.74 dB.
  • Those comparisons also report 2.31 times faster frames per second.
  • Hexels improve 2D image representation compared with Image-GS.
  • Unconstrained settings still show quality-memory trade-offs.
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From the original article

1 min read at arxiv.org

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.

arXiv cs.AI / cs.LG / cs.CL

By Prakhar Kaushik · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.