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A demonstration of Gaussian Splatting technology applied to a strawberry.
Technical Positioning
A visual showcase of Gaussian Splatting capabilities.
SaaS Insight & Market Implications
This submission is a technical demonstration of "Gaussian Splatting," a 3D rendering technique. While presented as a simple visual example, the underlying technology has significant B2B implications. Gaussian Splatting offers efficient and high-fidelity 3D scene representation, addressing pain points in real-time rendering, virtual reality, augmented reality, and digital twin applications. The trend is towards more immersive and realistic digital experiences, requiring performant 3D asset generation and rendering. SaaS platforms in architecture, engineering, gaming, e-commerce (product visualization), and training simulations could leverage such advancements to deliver superior visual quality and interactive experiences, reducing computational overhead compared to traditional methods.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
Hacker News
May 20, 2026
Show HN: Gaussian Splat of a Strawberry
The Setup:i.imgur.com/o0hgybh.jpeghttps...
Developer Debate & Comments
4meg: https://sketchfab.com/3d-models/strawberry-dd6a4248076145448...vs48megSplats make pretty pictures but they are 10x the data for pretty much anything I've seen.3gig for this one: https://superspl.at/scene/8429e5e2
If you just see a blurry image and nothing loads or happens, check the javascript console if it says "WebGL not supported"
As I have learned about Gaussian Splatting just a few weeks ago, I have (perhaps funny/naive/stupid) question: is there any progress or at least theoretical chance to have dynamic lighting?
Also interesting: https://github.com/apple/ml-sharpApples model to generate Gaussian splats from a single image. Takes about 30 seconds on an M1 Pro.It falls apart once you move too much, but for a little side-wiggling or a second-eye view for VR, it's great. And looks a lot better than the old approach of depth map + vertex shaders that I use in https://github.com/combatwombat/tiefling. But ml-sharp has 2.6 GB weights, a bit too big to run in the browser.
This is like a beautiful little miniature. It's cool to see gaussian splatting applied to a detailed small thing versus a big scene.I have a question about perhaps the most boring aspect of this strawberry: the license. you write, "You can download it under CC BY license, but attribution is appreciated rather than required." IANAL, but I'm pretty sure you can't license your work CC-BY and then waive the BY requirement in the description. Rather, you'd have to license it with something more permissive like CC0 and request attribution if you want attribution to be optional. Is that right?
Just wow!As I scrolled through the website, I was even more impressed with this one though!https://superspl.at/scene/c67edb74
I built PlayCanvas in 2011 to power video games. Here we are in 2026 and it's powering strawberries.
Wow this is a time killer... ended up here: https://superspl.at/scene/ff1d0393 beautiful!
Beautiful.What I love about gaussian splats is the way they degrade - instead of a hard cutoff or LoD changing spheres into cubes etc., they get increasingly "dreamy" - the basic idea is still there, just less detailed.Take for example this scene:https://superspl.at/scene/e721ea7cIf you navigate closer to the trees, things around you become blurry - as if the very fabric of reality unraveled.
I read [1], but I still don't quite know what I'm looking at. My guess is a 3D model reconstructed from lots of detailed pictures?[1] https://en.wikipedia.org/wiki/Gaussian_splatting
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Based on our AI analysis of the original developer request, its primary technical positioning is: A visual showcase of Gaussian Splatting capabilities.
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Yes, we have tracked 186 direct responses and active debates regarding this specific topic originating from Hacker News.
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Our proprietary extraction maps A demonstration of Gaussian Splatting technology applied to a strawberry. to adjacent architectural concepts including Gaussian Splat.
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