1702 Open source projects that are alternatives of or similar to Tsdf Fusion Python

Fuse multiple depth frames into a TSDF voxel volume.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

High-performance Vision library in Python. Scale your research, not boilerplate.

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

This is a implementation of the 3D FLAME model in PyTorch

A resource repository for 3D machine learning

Instant neural graphics primitives: lightning fast NeRF and more

The open source mesh processing system

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

JetScan : GPU accelerated portable RGB-D reconstruction system

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

Open3D: A Modern Library for 3D Data Processing

A lean C++ library for working with point cloud data

SUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode

C++ based toolbox for the SUNCG dataset

Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

A multi-sensor capture system for free viewpoint video.

Implementation of Bottleneck Transformer in Pytorch

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

🤖 The Cocoa Artificial Intelligence Lab

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Python Wrapper for MeshFix: easily repair holes in PyVista surface meshes

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.

Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

Tengine is a lite, high performance, modular inference engine for embedded device

PyTorch - Python + Nim

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

Learning to Learn in TensorFlow

Efficient Learning of Augmentation Policy Schedules

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

🤖 Python application responsible for Serenata de Amor's intelligence

Node.js client for Google Cloud Vision: Derive insight from images.

Computer vision based ML training data generation tool 🚀

(Mirror of GitLab) GPGPU Framework for Rust

Houdini pipeline and learning database

Anki Vector Python SDK

An open-source platform for Visual AI.

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

📸 The Camera library that sees the vision.

H2Oai GPU Edition

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

Package geom implements efficient geometry types for geospatial applications.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Deep Reinforcement Learning Framework + Algorithms

Some simple vulkan examples.