3D to 2D, point clouds flattening (geometry images)
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HN · launched Nov 9, 2026 · 24 upvotes (top 26%) · 0 views
Niche: 3d modeling and rendering software · 145 launches, 21 in the last 7 days ▼ -13% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- Not AI
- Hobby / open-source project
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More like this: all 145 launches in 3d modeling and rendering software →
Could you build this?
Partial A basic point-cloud-to-geometry-image pipeline can be prototyped with AI help, but producing high-quality, low-distortion UV parameterizations is an algorithmic graphics problem.
What it would actually take: Implement a mesh or point-cloud parameterization pipeline, starting from the Gu et al. geometry images approach: build a surface mesh, cut it to a disk, and map it to a square using harmonic or least-squares conformal maps, then resample into a 2D image. Python with NumPy/SciPy and Open3D or trimesh covers the basics. Distortion minimization and robust handling of noisy point clouds need geometry-processing expertise.
Discussion
1 comment analyzed.
Competitors mentioned: geometry images, boundary-first flattening
Competitors
Other products that read as similar to this one : 1281 launches clear the similarity bar, closest 8 shown.
Attention rank: #331 of 1282 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 374 days after the earliest competitor.
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- SplatAnything · github · 2026-11-08 · 205 upvotes · similarity 0.59
- VRX · github · 2026-09-17 · 14 upvotes · similarity 0.58
- SplatThumb · github · 2026-10-30 · 26 upvotes · similarity 0.58
- VGGT-Diff · github · 2026-09-27 · 49 upvotes · similarity 0.56
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