Honestly, PBR generation from 3D scans has always felt like a compromise.
We trained a diffusion-based model to better separate material properties from scan data, helping reduce noisy artifacts and generate cleaner PBR maps.
The difference is pretty obvious. Check the comparisons below.
Featureless objects break most photogrammetry pipelines. Glossy, monochrome, no surface texture. Nothing for feature matching to grab onto.
We built a dedicated Featureless Object Scan Mode for exactly this. The chess knight here is basically worst-case: uniform color, smooth curves, specular highlights everywhere.
Left is Photo Scan Mode. Right is Featureless Object Mode.
If you've been hitting sensor-Failed errors in LiDAR Object Capture on iPhone 17 Pro, it was a bug deep in Apple's RealityKit framework.
We tracked it down and filed a ticket with Apple. The fix is coming in iOS 26.6 (coming soon).
1-click. Fully fixed. 100% free.
If you do any 3D printing or scanning, you know the absolute nightmare of broken, non-manifold meshes. Your slicer hates it, and fixing it by hand is not an easy task.
We found this incredible free tool by @ssh4net that automatically patches holes, seals geometry, and gives you a perfectly watertight model instantly.
๐ Link to the tool in the replies!
@ZhuyiLiu Yeah it's not so optimised sadly.
Just to check - are you making sure you're in 'Render' not 'Edit' mode on the addon UI.
There's an update coming soon that will expose some quality settings that may help when lowered.
Real capture meets AI generation. Felt interesting enough to share.
One figure was captured on location with our 3D Gaussian Splatting. Real person, real environment, real lighting, all in one pass. The other was generated entirely by AI, never existed in the physical world. I put them in the same Blender scene.
Somehow they still sit together pretty well.
Automated PBR Textures. Flat color vs PBR.
Normal 3D scans only capture raw color. They bake in shadows and have zero material data. Drop them into a modern lighting engine, and they look lifeless because they donโt know whatโs shiny or matte.
So we built an automated PBR export. Delit Base Color, Roughness, and Metalnessโall output alongside your geometry.
Is it 100% flawless every time? No. But it gives you a massive, creative head start. With some tweaking and layering, get the exact look you want in minutes instead of hand painting for hours.
AI-Enhanced LiDAR. Left vs right.
A real LiDAR device costs thousands of dollars. What's in your iPhone Pro is a "baby LiDAR". Limited depth resolution, noisy output, not really built for high-precision 3D.
You can't change the hardware. So we built an ML layer on top. Denoising, geometry completion, detail recovery. Processed server-side. Same sensor. Very different result.
@Mrfunnysheep Similar idea, instead of raw depth from motion, we're looking at using an AI model to estimate depth first, then run it through the same enhancement pipeline. That's actually something we're actively building. Stay tuned, should be a few months out.
@zeelee3D Oh that would be awesome! I think I remember someone filling potholes with mosaics but it was a loooong time ago, you should definitely do it!
Guerrilla urban repair, powered by 3D scanning. ๐ ๏ธ
We found a creator using KIRI Engine + 3D printing to reverse-engineer and perfectly patch up broken steps, walls, and ledges around their city.
We're huge fans of this kind of work and want to help this small channel grow. Check the video out๐