isl-org

Open3D: A Modern Library for 3D Data Processing

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Metric depth estimation from a single image

An extension of Open3D to address 3D Machine Learning tasks

Dense Prediction Transformers

Code & Data for Enhancing Photorealism Enhancement

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

Language-Driven Semantic Segmentation

Fast Global Registration

Semantic3D segmentation with Open3D and PointNet++

Code repository for "Free View Synthesis", ECCV 2020.

Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.

Code for Monocular Visual-Inertial Depth Estimation (ICRA 2023)

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017

Toolbox for the TanksAndTemples benchmark website

Interactive Image Segmentation with Latent Diversity

Adaptive Surface Reconstruction for 3D Data Processing

Repository for the Objects With Lighting Dataset

Find pre-installed Open3D package in CMake

Code for the paper "Accurate Optical Flow via Direct Cost Volume Processing. Jia Xu, René Ranftl, and Vladlen Koltun. CVPR 2017"