Stars
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Fastify typescript boilerplate with Prisma
The project source code for Hacking with iOS.
File format for 3D Gaussian splats. About 10x smaller than the PLY equivalent with virtually no perceptible loss in visual quality. Offered as open source by Niantic Labs. More details at https://s…
🌟A curated list of DUSt3R-related papers and resources, tracking recent advancements using this geometric foundation model.
This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and proces…
ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model
Official repository for Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
A partial trello board clone with Remix
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
This project is a small but feature complete application build with Fastify and Svelte, and it aims to show all the core concepts of Fastify, best practices, and recommendations.
Fast and low overhead web framework, for Node.js
State of the art sorting and segmented sorting, including OneSweep. Implemented in CUDA, D3D12, and Unity style compute shaders. Theoretically portable to all wave/warp/subgroup sizes.
Toy Gaussian Splatting visualization in Unity
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
Implementations of NeRF variants based on Taichi + PyTorch
Code appendix to an OpenCL matrix-multiplication tutorial
GPU tensor framework with support for running ONNX models
Stable Diffusion inference on iOS / macOS using MPSGraph
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
An implementation of NVIDIA's Instant Neural Graphics Primitives in PyTorch (Lightning)
A General NeRF Acceleration Toolbox in PyTorch.
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/