3D/2D CAD design package written in Go. GPU accelerated.

a playground for making 3D art with lisp and math

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

Instant neural graphics primitives: lightning fast NeRF and more

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

A simple CAD package using signed distance functions

Volumetric structures such as voxels and SDFs implemented in pytorch

A Flexible Framework for Robot visualization and programming in Python

Realtime ray marching made with OpenTK in C#.

An open exchange format for SDF based 3D models

Freeform mesh slicing test-ground project using marching cubes and much more.

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

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/

CPU fractal rendering done in Rust - Currently WIP

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

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

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

Signed Distance Function (SDF) based Python package for procedural construction of geometry.

Volume-Language: Experimental volume description languages aimed at GPU distance field rendering. Mirror of GitLab