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Niantic Labs (@nianticlabs)

nianticlabs

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Jupyter Notebook
67

Python
301

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

Jupyter Notebook

simplerecon

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

acezero

[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

mickey

[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

stereo-from-mono

[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

ace

[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses

diffusionerf

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

map-free-reloc

[ECCV 2022] Map-free Visual Relocalization: Metric Pose Relative to a Single Image

wavelet-monodepth

[CVPR 2021] Monocular depth estimation using wavelets for efficiency

Jupyter Notebook

footprints

[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image

depth-hints

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Jupyter Notebook

doubletake

[ECCV 2024] DoubleTake: Geometry Guided Depth Estimation

marepo

[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localization

nerf-object-removal

[CVPR 2023] Removing Objects From Neural Radiance Fields

implicit-depth

[CVPR 2023] Virtual Occlusions Through Implicit Depth

scoring-without-correspondences

[CVPR 2023] Two-view Geometry Scoring Without Correspondences

rectified-features

[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

image-box-overlap

[ECCV 2020] Training neural networks to predict visual overlap of images, through interpretable non-metric box embeddings

Jupyter Notebook

airplanes

[CVPR 2024] AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings

panoptic-forecasting

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

relpose-gnn

[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.

modron

Modron - Cloud security compliance

nianticlabs.github.io

time-repeatability

[ICRA 2021] Learning to Predict Repeatability of Interest Points

metagame-balance

[AAMAS 2023] Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games

nagatha

Nagatha - Alerts without fatigue