[NeurIPS'24] WildGaussians: 3D Gaussian Splatting In the Wild

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A C++ & Python viewer for 3D data like meshes and point clouds

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

Instant neural graphics primitives: lightning fast NeRF and more

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

3D mesh stylization driven by a text input in PyTorch

[ECCV'22] Official PyTorch Implementation of "CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes"

A PyTorch Library for Accelerating 3D Deep Learning Research

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Lightning fast C++/CUDA neural network framework

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

PyTorch implementations of Generative Adversarial Networks.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

A collection of design patterns/idioms in Python

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

A collection of resources on modern C++

180+ Algorithm & Data Structure Problems using C++

Neural network visualization toolkit for keras

A fast, accurate direct solver and determinant computation for dense linear systems

A simple interface for editing natural photos with generative neural networks.

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

A curated list of papers & resources linked to 3D reconstruction from images.

open Multi-View Stereo reconstruction library