A Raspberry. 90 stacks, 68 photos each. 2.37M splats. #3dgs
Dany Bittel reconstructs blueberry with 3D Gaussian splatting
Dany Bittel produced a 3D reconstruction of a blueberry using Gaussian splatting. The model was generated from 6,120 photographs captured in 90 image stacks of 68 photos each. It contains 1.48 million splats and renders the fruit's textured dark surface, irregular opening, and interior details against a coordinate grid. The demonstration rotates through overhead and side angles to expose surface bumps and internal specks.
Users are excited about the realistic 3D Gaussian Splatting blueberry and raspberry models for their impressive detail and uses in games or healthcare, while some dismiss them as unimpressive or gross-looking.
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A blueberry. 90 stacks, 68 photos each. 1.48M splats. #3dgs
Gaussian splats truly is one of the coolest things that’s enabled by modern cameras and computing power.
A blueberry. 90 stacks, 68 photos each. 1.48M splats. #3dgs

@DanyBittel we need a library of everything at this granularity

@LinusEkenstam I'm on it. 😂

@DanyBittel That is incredible, how long til we get a full MRI style scan of someones anatomy totally made in splats

@no1089 @yacineMTB idk why but this reminded me of an old nvidia product i used to play around with when i was younger
nvidia gaugan, pretty cool
https://blogs.nvidia.com/blog/gaugan-photorealistic-landscapes-nvidia-research/

@s7tmbr Like this. Takes around 20 min to shoot.

@kvickart That would be cool.. maybe if I freeze it, then thinly slice it. That's not really splat though.

@Artemisia_Lux A focus stack. The camera moves on a rail and shoots 68 photos, each has a slightly different area of the blueberry in focus. Then I use Helicon Focus to combine the images into one fully sharp image.

@DanyBittel That’s insane detail! Would love to see this raspberry placed in a full scene.

@saianonymous Well this single raspberry is already maxing out my GeForce 3060ti. 😂 Some improvement is in the works, but I don't think it'll replace traditional rendering. The light is also baked.

90 stacks, 68 photos each.
This means at 90 different angles, OP took 68 photos at sequential depths with a macro lens and focus stacked (using something like Zerene Stacker) those 68 frames for each angle for a fully focused image of each angle. oP then used those fully focused images to construct a point cloud using photogrammetry software which then can also be used to project the images onto the point cloud. Pretty fun stuff tbh

@OIeg_Ivanov_008 @DanyBittel here's a nice video that explains where it's beeing used right now: https://www.youtube.com/watch?v=TnqK1tkREOg

@hydraulicspood @DanyBittel @kvickart ok tried with apple sharp but the problem is x-ray scans are ortographic projections and also there are not enough data to get the depth, but there was a software creating volume data from x-rays and mri's gotta try that one.

@jwt0625 Stackshot and boom arm.

@hampusolsson Thanks.. I'll post a d/l next week, so you can try yourself.

@danialghods_ If you have the COLMAP dataset, just drag and drop it into https://lichtfeld.io/ or https://github.com/ArthurBrussee/brush or https://www.jawset.com/ (probably easiest, but subscription based).

@the_Feign Sort of, but not what you have in mind. Instead of photographing you can just render each view. They are called synthetic Gaussian splats.

@danialghods_ The light is different (beauty vs flat). The interior (as well as the bottom) is not very clean though.. I'll post the splat next week.

@J_Cartterr Aak Dany!
High quality inputs is usually the answer.