Stars
FaceCap iOS capture data text format import scripts (Maya/Blender/etc).
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
SwiftOSC is an Open Sound Control client and server framework written in Swift.
Fast Depth Densification for Occlusion-Aware Augmented Reality
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Small implementation of a Jump flooding algorithm for unity
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Serial Communication Library for macOS written in Swift.
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
A genetic algorithm toy project for drawing
Scripts and example files for exporting custom avatars to be imported into the Face Cap iOS app.
A collection of some of the neat math and physics tricks that I've collected over the last few years.
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Cross-platform, customizable ML solutions for live and streaming media.
A Unity example project that received Face-Cap data via OSC.
The best way to record your AR experience!
Method drawer attribute for MonoBehaviour derived classes
Graphy is the ultimate, easy to use, feature packed FPS counter, stats monitor and debugger for your Unity project.