Stars
Implementation of "Points as Tori: Fast Pointwise Signed Distance for Point Clouds", presented by Nicole Feng, Ioannis Gkioulekas, and Keenan Crane at SIGGRAPH 2026.
Code to go with the paper "Aperture-Aware Lens Design"
Solving partial differential equations in participating media.
Grid-Free Monte Carlo Solvers for Physics Simulations Involving Partial Differential Equations
Grid-Free Monte Carlo Solvers for Physics Simulations Involving Partial Differential Equations
Claude Code plugin: multi-agent orchestrator with 10 specialist agents for academic writing review, research, drafting, and polishing
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
Code for "Automated design of compound lenses with discrete-continuous optimization"
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
A fast and easy-to-use PLY parsing library in a single c++11 header and cpp file
Open3D: A Modern Library for 3D Data Processing
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
A fast, accurate direct solver and determinant computation for dense linear systems
Experimental codebase for Differential Walk on Spheres.
Proof-of-concept surface reconstruction experiments to explore the design space for volumetric opaque solids.
This is the official Mitsuba3 implementation of "Doppler Time-of-Flight Rendering" (SIGGRAPH Asia 2023)
This is the official Mitsuba0.6 implementation of "Doppler Time-of-Flight Rendering" (SIGGRAPH Asia 2023)
non-line-of-sight shape reconstruction using Fermat paths
Code release for "3D reconstruction with fast dipole sums"
Fast Gaussian-process inference using Vecchia approximations