Here are 23 public repositories matching this topic...
IsoMesh is a group of related tools for Unity for converting meshes into signed distance field data, raymarching signed distance fields, and extracting signed distance field data back to meshes via surface nets or dual contouring.
A static C++ library for the generation of discrete functions on a box-shaped domain. This is especially suited for the discretization of signed distance fields.
Multi-modal constructive solid geometry kernel in Rust
Updated Mar 16, 2026 Rust A Unity tool to generate signed distance field volumes (as Texture3D assets) from meshes.
Updated Nov 26, 2023 ShaderLab Header only, single file, simple and efficient C++11 library to compute the signed distance function (SDF) to a triangle mesh
Sphere tracing signed distance functions.
Updated Feb 6, 2026 Scala Signed Distance Function from triangle mesh.
Realtime 2D Raytracing in Unity using Signed Distance Fields 💡
Updated Jul 2, 2019 ShaderLab An OpenGL sample that demonstrates baking SDFs and using them to add Soft Shadows and Ambient Occlusion to a rasterized scene.
Vectorized Python methods for creating, manipulating and tessellating signed distance fields.
Updated Sep 1, 2023 Python standalone and "ros-free" python wrapper of voxblox (online SDF generator from point clouds)
Playground for OpenGL ES 2.0/3.0 (VR) rendering
A recursive screen-space algorithm to render SDFs
Signed Distance Function (SDF) based Python package for procedural construction of geometry.
Updated Apr 23, 2025 Jupyter Notebook GenSDF: An MPI-Fortran based signed-distance-field generator for computational fluid dynamics applications.
Updated Mar 19, 2025 Fortran Meta-Learning for Neural Implicit Surface of Object Categories
Updated Oct 10, 2023 Python (WIP) A simple typography engine for CJK languages, especially designed for game rich-text.
Updated Mar 18, 2026 Rust Ray marching FPS like playground w/ physics
WebGL renderer for raymarching of signed distance fields
Updated Mar 26, 2021 JavaScript An implementation of the paper "Constructive heterogeneous object modeling using signed approximate real distance functions"
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