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Andrew Wooldridge 🎆 boosted
Samuel
Samuel
@sml@chaos.social  ·  activity timestamp 4 months ago

Dance of the wisps

Seamless particle #simulation in #Blender using 3D curl noise to get a divergence-free field.
Sound design in #Ableton.

#B3D #GeometryNodes #Animation

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Olm-e boosted
Erindale
Erindale
@erindale@mastodon.art  ·  activity timestamp 2 months ago

Infinite Bloom
#Nodevember #Nodevember2025 #GeometryNodes

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Erindale
Erindale
@erindale@mastodon.art  ·  activity timestamp 2 months ago

Infinite Bloom
#Nodevember #Nodevember2025 #GeometryNodes

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halcy​ :icosahedron: boosted
Daniel Fernández Marqués
Daniel Fernández Marqués
@daniFMdev@mastodon.gamedev.place  ·  activity timestamp 3 months ago

The new SDF grids add so many possibilities. I did a small test for procedural cave generation
#geometrynodes #procgen #b3d

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Daniel Fernández Marqués
Daniel Fernández Marqués
@daniFMdev@mastodon.gamedev.place  ·  activity timestamp 3 months ago

The new SDF grids add so many possibilities. I did a small test for procedural cave generation
#geometrynodes #procgen #b3d

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Samuel
Samuel
@sml@chaos.social  ·  activity timestamp 4 months ago

Dance of the wisps

Seamless particle #simulation in #Blender using 3D curl noise to get a divergence-free field.
Sound design in #Ableton.

#B3D #GeometryNodes #Animation

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halcy​ :icosahedron: boosted
aeva
aeva
@aeva@mastodon.gamedev.place  ·  activity timestamp 4 months ago

i made some good progress on my skeleton today

i now have a python script that extracts the data i want from the DICOM files into numpy arrays and then dumps the numpy arrays into a c++ function i wrote to transform the voxel data into a ply pointcloud, which I then import into #blender and use #geometrynodes to trim the scan data down to bones etc.

A screenshot of blender 4.4.1 showing a point cloud of my skeleton.  The point cloud was extracted from a set of DICOM files from a CT scan I had recently on my abdomen.  You can see my skeleton from around the base of my sternum down to my pelvis.  The interface shows that I'm using geometry nodes to process the imported data and the scene takes up 2.09 GiB of ram.
A screenshot of blender 4.4.1 showing a point cloud of my skeleton. The point cloud was extracted from a set of DICOM files from a CT scan I had recently on my abdomen. You can see my skeleton from around the base of my sternum down to my pelvis. The interface shows that I'm using geometry nodes to process the imported data and the scene takes up 2.09 GiB of ram.
A screenshot of blender 4.4.1 showing a point cloud of my skeleton. The point cloud was extracted from a set of DICOM files from a CT scan I had recently on my abdomen. You can see my skeleton from around the base of my sternum down to my pelvis. The interface shows that I'm using geometry nodes to process the imported data and the scene takes up 2.09 GiB of ram.
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aeva
aeva
@aeva@mastodon.gamedev.place  ·  activity timestamp 4 months ago

i made some good progress on my skeleton today

i now have a python script that extracts the data i want from the DICOM files into numpy arrays and then dumps the numpy arrays into a c++ function i wrote to transform the voxel data into a ply pointcloud, which I then import into #blender and use #geometrynodes to trim the scan data down to bones etc.

A screenshot of blender 4.4.1 showing a point cloud of my skeleton.  The point cloud was extracted from a set of DICOM files from a CT scan I had recently on my abdomen.  You can see my skeleton from around the base of my sternum down to my pelvis.  The interface shows that I'm using geometry nodes to process the imported data and the scene takes up 2.09 GiB of ram.
A screenshot of blender 4.4.1 showing a point cloud of my skeleton. The point cloud was extracted from a set of DICOM files from a CT scan I had recently on my abdomen. You can see my skeleton from around the base of my sternum down to my pelvis. The interface shows that I'm using geometry nodes to process the imported data and the scene takes up 2.09 GiB of ram.
A screenshot of blender 4.4.1 showing a point cloud of my skeleton. The point cloud was extracted from a set of DICOM files from a CT scan I had recently on my abdomen. You can see my skeleton from around the base of my sternum down to my pelvis. The interface shows that I'm using geometry nodes to process the imported data and the scene takes up 2.09 GiB of ram.
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