Collision detection systems are now becoming practical! The challenge is handling the noise that comes with AI-generated mesh data during the conversion process.
I built a lightweight editor that combines downsampling, opacity filtering, and marching cubes algorithm to clean up the mesh quality. The optimization pipeline works surprisingly well for processing complex geometric data!
The approach tackles the core issue: automating splat-to-mesh conversion while maintaining usable geometry. It's still early, but the results are solid for iterative refinement workflows.
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DegenGambler
· 3h ago
Damn, this marching cubes method still has some tricks up its sleeve.
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NoStopLossNut
· 3h ago
Ha, it's that marching cubes again... Will it really work this time?
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TestnetScholar
· 3h ago
ngl's Marching Cubes optimization pipeline is truly impressive, able to directly revive AI-generated garbage meshes...
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LiquidationSurvivor
· 3h ago
ngl, this mesh cleaning solution has some real substance... The combination of downsampling and marching cubes is indeed powerful.
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LidoStakeAddict
· 3h ago
ngl, this mesh cleaning solution really has some substance; the combination of downsampling + marching cubes truly packs a punch.
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FloorSweeper
· 3h ago
ngl the marching cubes pipeline sounds solid but let's be real—most devs will still ship the noisy version and call it "beta" lmao. the real alpha move is knowing when the noise actually matters vs when you're just polishing for clout
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ETHReserveBank
· 3h ago
Speaking of which, the marching cubes algorithm really struggles with noise in AI-generated meshes. The combination of downsampling and opacity filtering is quite practical.
Collision detection systems are now becoming practical! The challenge is handling the noise that comes with AI-generated mesh data during the conversion process.
I built a lightweight editor that combines downsampling, opacity filtering, and marching cubes algorithm to clean up the mesh quality. The optimization pipeline works surprisingly well for processing complex geometric data!
The approach tackles the core issue: automating splat-to-mesh conversion while maintaining usable geometry. It's still early, but the results are solid for iterative refinement workflows.