Popular GitHub Repositories for Gaussian Upsampling

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

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

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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.

Gaussian processes in TensorFlow

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

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

The basic distribution probability Tutorial for Deep Learning Researchers

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

[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

XAI - An eXplainability toolbox for machine learning

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

Easy NeRF synthetic dataset creation within Blender