monodepth2
[ICCV 2019] Monocular depth estimation from a single imagesimplerecon
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutionsmanydepth
[CVPR 2021] Self-supervised depth estimation from short sequencesstereo-from-mono
[ECCV 2020] Learning stereo from single images using monocular depth estimation networksmickey
[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondencesace
[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Posesdiffusionerf
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Modelswavelet-monodepth
[CVPR 2021] Monocular depth estimation using wavelets for efficiencyfootprints
[CVPR 2020] Estimation of the visible and hidden traversable space from a single color imagemap-free-reloc
[ECCV 2022] Map-free Visual Relocalization: Metric Pose Relative to a Single Imagedepth-hints
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairsacezero
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.nerf-object-removal
[CVPR 2023] Removing Objects From Neural Radiance Fieldsmarepo
[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localizationscoring-without-correspondences
[CVPR 2023] Two-view Geometry Scoring Without Correspondencesimplicit-depth
[CVPR 2023] Virtual Occlusions Through Implicit Depthrectified-features
[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matchingimage-box-overlap
[ECCV 2020] Training neural networks to predict visual overlap of images, through interpretable non-metric box embeddingspanoptic-forecasting
[CVPR 2021] Forecasting the panoptic segmentation of future video framesrelpose-gnn
[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.modron
Modron - Cloud security compliancetime-repeatability
[ICRA 2020] Learning to Predict Repeatability of Interest Pointsnianticlabs.github.io
metagame-balance
[AAMAS 2023] Bilevel Entropy based Mechanism Design for Balancing Meta in Video GamesLove Open Source and this site? Check out how you can help us