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Gaussian Splat of a Strawberry

Details

External ID
48191602
Source
HN
Company
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Product
Gaussian Splat of a Strawberry
Website domain
superspl.at
Launched
May 19, 2026
Cohort
—
Upvotes
530
Upvotes percentile
0.9919224555735057
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

The Setup:https://i.imgur.com/o0hgybh.jpeghttps://i.imgur.com/mcNiomp.jpeghttps://i.imgur.com/vIjw6pc.jpeghttps://i.imgur.com/nzOwmSC.jpeg

Enrichment

Theme
3D graphics and physics simulation tools
Vertical
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Function
—
Audience
—
AI stance
—
Project type
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Normalized one-liner
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Manually corrected
False

Could you build this?

No This is a photogrammetry dataset and 3D Gaussian Splatting reconstruction requiring specialized physical camera gear, macro focus stacking techniques, and COLMAP reconstruction pipelines.

What it would actually take: Recreating this requires high-end physical camera hardware (such as a Nikon Z8 with macro lens, turntable, and controlled lighting), shooting 90+ multi-focus image stacks, and running software like Helicon Focus. The resulting thousands of images must be processed through COLMAP for Structure from Motion and trained using custom CUDA/Slang Gaussian splatting implementations. It is a physical macro-photography and computational photogrammetry problem, completely outside software vibe-coding.

Discussion

20 comments analyzed.

Competitors mentioned: phone camera + ffmpeg + colmap + opensplat, COLMAP, traditional polygonal 3D meshes, texture-mapped geometry

Concerns raised: Lighting is baked in, doesn't work with dynamic lighting, Not suitable for animated bodies or skeletal animation, Poor quality on thin or sharp surfaces and reflections, Very memory-hungry (10x data size vs meshes), Can't be lit by scene lights or receive shadows

Feature requests: Better capture of very small object details, Support for skeletal animation and deformation, Integration into Blender rendering pipeline (Cycles/EEVEE), Reduce memory footprint and file size, Improved handling of thin surfaces and reflective materials

Competitors

Other products that read as similar to this one — 22 launches clear the similarity bar, closest 8 shown.

Attention rank: #1 of 23 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 156 days after the earliest competitor.

Other launches for this product