A hyper-fast local vector database for use with LLM Agents. Now accepting SAFEs at $135M cap.

Tensor library for machine learning

Aria data tools provide the open-source toolkit in C and Python to interact with data from Project Aria

Code release for NeuS

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

Real-time PathTracing with global illumination and progressive rendering, all on top of the Three.js WebGL framework. Click here for Live Demo: https://erichlof.github.io/THREE.js-PathTracing-Rende…

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Easily display interactive 3D models on the web and in AR!

Image-space texture optimization of 3D meshes using PyTorch

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

Neural network code for Deep Blending for Free-Viewpoint Image-Based Rendering (SIGGRAPH Asia 2018)

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

Differentiable convex optimization layers

Training and Evaluation Code for Neural Volumes

SENSE: a Shared Encoder Network for Scene-flow Estimation

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"

Geometric Computer Vision Library for Spatial AI

Code accompanying the SIGGRAPH 2018 paper "Stereo Magnification: Learning View Synthesis using Multiplane Images"

A general and flexible factor graph non-linear least square optimization framework

Data Generator for Incremental Learning

Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

Count the MACs / FLOPs of your PyTorch model.

Code for Hierarchical Discrete Distribution Decomposition for Match Density Estimation (CVPR 2019)

SelFlow: Self-Supervised Learning of Optical Flow

The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."