MapAnything: Universal Feed-Forward Metric 3D Reconstruction

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

Current state of supervised and unsupervised depth completion methods

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)

[ICCV 2025] Zero-Shot Monocular Depth Completion with Guided Diffusion

Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

🍀 Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."

PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

Visual Odometry with Inertial and Depth (VOID) dataset

[RAL 2022 & ICRA 2023] TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline

Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network

PyTorch Implementation of Monitored Distillation for Positive Congruent Depth Completion (ECCV 2022)

Official page of Struct-MDC (RA-L'22 with IROS'22); Depth completion from Visual-SLAM using point & line features

A real-time depth filling approach based on prior image segmentation (http://www.atapour.co.uk/papers/BMVC2017.pdf).

NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)