Signed Distance Functions Collection

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📦Normal

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“Instant neural graphics primitives: lightning fast NeRF and more”

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🔮Psychic

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“Simple SDF mesh generation in Python”

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🔮Psychic

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“Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/”

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🌊Water

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“A simple CAD package using signed distance functions”

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📦Normal

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“a playground for making 3D art with lisp and math”

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🔥Fire

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“Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.”

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🔮Psychic

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“Volumetric structures such as voxels and SDFs implemented in pytorch”

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🔮Psychic

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“Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization”

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⚡Electric

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“Create, ray trace & export programatically defined Signed Distance Function CSG geometries with an API suited for generative art - in your browser! 🎉”

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🔥Fire

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“Fast and light-weight Marching Cubes library in C++ without any dependencies.”

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🔮Psychic

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“A Flexible Framework for Robot visualization and programming in Python”

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🌊Water

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“Convenience package for dealing with graphics in my pixel drawing experiments.”

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📦Normal

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“[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function”

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🔥Fire

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“Sphere tracing signed distance functions.”

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⚔️Fighting

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“Signed is a 3D modeling and construction language based on Lua and SDFs. Signed will be available for macOS and iOS and is heavily optimized for Metal.”

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⚙️Steel

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“A fast and cross-platform Signed Distance Function (SDF) viewer, easily integrated with your SDF library.”

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🌊Water

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“A Go library for signed distance function shape generation. Read as 3D printing shape design.”

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🔥Fire

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“Signed Distance Function from triangle mesh.”