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
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
Create, ray trace & export programatically defined Signed Distance Function CSG geometries with an API suited for generative art - in your browser! 🎉
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
Marching cubes with and without color interpolation, and edge subsampling.
Fast and light-weight Marching Cubes library in C++ without any dependencies.
Volumetric structures such as voxels and SDFs implemented in pytorch
[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function
A Flexible Framework for Robot visualization and programming in Python
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 Go library for signed distance function shape generation. Read as 3D printing shape design.
A fast and cross-platform Signed Distance Function (SDF) viewer, easily integrated with your SDF library.
Signed Distance Function from triangle mesh.
Make complex Ray Marching SDF objects using nodes with the Material Maker editor and this library
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