Instant neural graphics primitives: lightning fast NeRF and more
Simple SDF mesh generation in Python
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
A simple CAD package using signed distance functions
a playground for making 3D art with lisp and math
GLSL and Shadertoy shader skills for Claude Code, Codex, Cursor, Copilot and Gemini CLI. 186 functions, SDF raymarching, procedural terrain, water, clouds and generative art, with a bundler, checker and 11 examples.
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
Volumetric structures such as voxels and SDFs implemented in pytorch
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
Create, ray trace & export programatically defined Signed Distance Function CSG geometries with an API suited for generative art - in your browser! 🎉
Marching cubes with and without color interpolation, and edge subsampling.
Fast and light-weight Marching Cubes library in C++ without any dependencies.
A Flexible Framework for Robot visualization and programming in Python
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
Sphere tracing signed distance functions.
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.
A fast and cross-platform Signed Distance Function (SDF) viewer, easily integrated with your SDF library.
3D/2D CAD design package written in Go. GPU accelerated.
A Go library for signed distance function shape generation. Read as 3D printing shape design.
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