Stars
Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
Instant neural graphics primitives: lightning fast NeRF and more
An iOS app that collects/streams posed images for NeRFs using ARKit
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
Python tool designed to identify misconfigured DMARC and SPF settings in domains. It resolves DNS records, checks for DMARC policies, SPF records, and logs the results for each domain. Additionally…
Python library for working with HEIF images and plugin for Pillow.
Command-line tool to customize Spotify client. Supports Windows, MacOS, and Linux.
Code Release for "Bilateral Guided Radiance Field Processing"
Proof of work algorithm based on random code execution
[NeurIPS'24] WildGaussians: 3D Gaussian Splatting In the Wild
This is an official repository for "Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images"
[NeurIPS 2024 Spotlight] Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"
[SIGGRAPH Asia 2023 (Technical Communications)] EasyVolcap: Accelerating Neural Volumetric Video Research
ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model
Implementation for 3d gaussian splatting
Fast and differentiable MS-SSIM and SSIM for pytorch.
Daemon to ban hosts that cause multiple authentication errors
Ongoing research training gaussian splatting at scale by distributed system
[NeurIPS 2024 Spotlight]"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
The code for the paper "Reducing the Memory Footprint of 3D Gaussian Splatting"
🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacch…