Popular GitHub Repositories for Adaptive Gaussian

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Machine learning, in numpy

A collaboration friendly studio for NeRFs

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

A highly efficient implementation of Gaussian Processes in PyTorch

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

Metric depth estimation from a single image

Fast and Easy Infinite Neural Networks in Python

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

Gaussian processes in TensorFlow

LichtFeld Studio: Where reality and the digital world blend.

Ray tracing and hybrid rasterization of Gaussian particles

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

The basic distribution probability Tutorial for Deep Learning Researchers

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization