MapAnything: Universal Feed-Forward Metric 3D Reconstruction
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Updated
Jul 17, 2026 - Python
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
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 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)
[RAL 2022 & ICRA 2023] TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline
[ECCV 2026] Any2Full: Prompting Depth Anything for Depth Completion in One Stage
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
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)
Depth Completion technique agnostic to input depth pattern sparsity, WACV23
[3DV 2024] Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
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