Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation | Paper Citation Record

Observation d5563d93-dbc2-45ff-b125-d58e7db15cec · outbound

This paper cites ARK- itscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation ARK- itscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data

Reference 1

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Observation b6c6a26d-8db0-4c46-9431-457f81af413c · outbound

This paper cites Depth pro: Sharp monocular metric depth in less than a second.Int.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Depth pro: Sharp monocular metric depth in less than a second.Int

Reference 2

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Observation 184689f7-b0ed-4ed6-a098-0c012003e9b0 · outbound

This paper cites Vir- tual kitti 2.arXiv: Comp.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Vir- tual kitti 2.arXiv: Comp

Reference 3

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Observation 28ef6dfc-1609-4964-9e5a-b0059888029b · outbound

This paper cites Pyramid stereo matching network.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Pyramid stereo matching network

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.269607Z

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Observation 7239e468-b6d5-4e3f-acb3-7763771d8c40 · outbound

This paper cites 3d point cloud processing and learning for autonomous driving: Impacting map cre- ation, localization, and perception.IEEE Trans.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation 3d point cloud processing and learning for autonomous driving: Impacting map cre- ation, localization, and perception.IEEE Trans

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.291954Z

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Observation 44126ef2-1330-44ea-b738-bd6c466de574 · outbound

This paper cites Video depth anything: Consistent depth estimation for super-long videos.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Video depth anything: Consistent depth estimation for super-long videos

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.265968Z

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Observation 115e6229-efa4-4e32-83dd-8a39241465f7 · outbound

This paper cites Depth estimation for colonoscopy images with self- supervised learning from videos.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Depth estimation for colonoscopy images with self- supervised learning from videos

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.262292Z

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Observation 46c873ee-5dc7-49af-904f-7a0d5dc6d7f2 · outbound

This paper cites Hierarchical neural architecture search for deep stereo matching.Adv.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Hierarchical neural architecture search for deep stereo matching.Adv

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.258977Z

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Observation 3edc2d80-a3fd-45b9-9509-547d63ab1aa0 · outbound

This paper cites Hsfm: Hybrid structure-from-motion.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Hsfm: Hybrid structure-from-motion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.280525Z

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Observation 2b6a70b4-12ec-45c0-8027-3ab57225cd3c · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.284499Z

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Observation 71ddfcf5-60a5-4f31-bb87-c835a95b6054 · outbound

This paper cites FlashAttention-2: Faster attention with better paral- lelism and work partitioning.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation FlashAttention-2: Faster attention with better paral- lelism and work partitioning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.288356Z

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Observation a734adf5-f050-4cfa-8f1b-7b35a66af8c0 · outbound

This paper cites Transmvsnet: Global context-aware multi-view stereo network with trans- formers.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Transmvsnet: Global context-aware multi-view stereo network with trans- formers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.252610Z

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Observation 5c3b5d85-82b4-4d7f-bff5-4947055cba57 · outbound

This paper cites Lsd- slam: Large-scale direct monocular slam.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Lsd- slam: Large-scale direct monocular slam

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.230345Z

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Observation 01b98a42-0403-4565-90d9-7c2f23f51763 · outbound

This paper cites Direct sparse odometry.IEEE Trans.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Direct sparse odometry.IEEE Trans

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.089973Z

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Observation 23c088d2-00d1-423b-8fa2-957219d9a281 · outbound

This paper cites Graspnet-1billion: A large-scale benchmark for general ob- ject grasping.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Graspnet-1billion: A large-scale benchmark for general ob- ject grasping

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.093974Z

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Observation 641bfcea-a725-404c-acad-8549f52a6f7e · outbound

This paper cites Geowiz- ard: Unleashing the diffusion priors for 3d geometry estima- tion from a single image.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Geowiz- ard: Unleashing the diffusion priors for 3d geometry estima- tion from a single image

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.102453Z

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Observation 09289d09-6e96-4434-86df-6fce8680b596 · outbound

This paper cites Accurate, dense, and robust multi-view stereopsis.Int.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Accurate, dense, and robust multi-view stereopsis.Int

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:08.974697Z

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Observation 37219b21-e416-4ab5-a581-9305149341a0 · outbound

This paper cites Vision meets robotics: The kitti dataset.Int.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Vision meets robotics: The kitti dataset.Int

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:08.992445Z

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Observation bc707e5c-4c2f-4795-8f8d-40c95f5ee035 · outbound

This paper cites an unresolved cited work.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-23T15:33:09.000327Z

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Observation e532cf94-ea48-4489-8d81-85bf0e62414c · outbound

This paper cites Honnotate: A method for 3d annotation of hand and object poses.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Honnotate: A method for 3d annotation of hand and object poses

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.048706Z

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Observation e9ccff62-8594-489e-b5de-da7783595a88 · outbound

This paper cites Deep residual learning for image recognition.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Deep residual learning for image recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.125593Z

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Observation d07ad2b9-9561-4d5f-8e57-3b7bb65fb22a · outbound

This paper cites Diffcalib: Reformulating monocu- lar camera calibration as diffusion-based dense incident map generation.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Diffcalib: Reformulating monocu- lar camera calibration as diffusion-based dense incident map generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.218998Z

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Observation 578550df-9f14-4478-b213-19dd96346968 · outbound

This paper cites Metric3d v2: A versatile monocular geomet- ric foundation model for zero-shot metric depth and surface normal estimation.IEEE Trans.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Metric3d v2: A versatile monocular geomet- ric foundation model for zero-shot metric depth and surface normal estimation.IEEE Trans

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.245672Z

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Observation 737e01c0-d521-4be4-81e2-d248cc28e59c · outbound

This paper cites Deepmvs: Learning multi-view stereopsis.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Deepmvs: Learning multi-view stereopsis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.203260Z

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Observation 7f187e1d-ae9d-4707-98c6-804ab4efd835 · outbound

This paper cites Pow3r: Empowering un- constrained 3d reconstruction with camera and scene priors.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Pow3r: Empowering un- constrained 3d reconstruction with camera and scene priors

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.211686Z

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Observation e0b823bb-b219-4ec9-83cc-4afbefea28b6 · outbound

This paper cites On the importance of accurate geometry data for dense 3d vision tasks.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation On the importance of accurate geometry data for dense 3d vision tasks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.165653Z

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Observation e4a481d6-bec5-426c-bae1-1dafe86ae648 · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.181892Z

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Observation e5532d9e-a720-4328-a5a6-6caabaa5464a · outbound

This paper cites Ground- ing image matching in 3d with mast3r.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Ground- ing image matching in 3d with mast3r

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.295550Z

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Observation 217961ab-4eb6-4794-927f-4ba06f7b6a09 · outbound

This paper cites Megasam: Accurate, fast and robust structure and motion from casual dynamic videos.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Megasam: Accurate, fast and robust structure and motion from casual dynamic videos

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.186329Z

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Observation 7e4594db-0931-4ff5-83af-3be37ebe78ae · outbound

This paper cites Chen, Zhenyu Li, Yang Zhao, Sida Peng, Hengkai Guo, Xiaowei Zhou, Guang Shi, Jiashi Feng, and Bingyi Kang.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Chen, Zhenyu Li, Yang Zhao, Sida Peng, Hengkai Guo, Xiaowei Zhou, Guang Shi, Jiashi Feng, and Bingyi Kang

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.207950Z

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Observation 802a5f34-73c0-4aad-823e-d9d8f0289e78 · outbound

This paper cites Local similarity pattern and cost self-reassembling for deep stereo matching networks.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Local similarity pattern and cost self-reassembling for deep stereo matching networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.157934Z

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Observation c136f770-d0f1-430a-abb8-fc6467c3b8d0 · outbound

This paper cites Robotic online path planning on point cloud.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Robotic online path planning on point cloud

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.141071Z

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Observation 0570bbad-6220-4c15-884f-811414741965 · outbound

This paper cites Decoupled weight decay regularization.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Decoupled weight decay regularization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.137638Z

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Observation 02b33bd2-029a-4e7e-ad81-c6e66d2deca4 · outbound

This paper cites Bim- based registration and localization of 3d point clouds of in- door scenes using geometric features for augmented reality.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Bim- based registration and localization of 3d point clouds of in- door scenes using geometric features for augmented reality

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.129623Z

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Observation 1113cbae-0564-4a38-bc07-7176c3122384 · outbound

This paper cites Spring: A high-resolution high- detail dataset and benchmark for scene flow, optical flow and stereo.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Spring: A high-resolution high- detail dataset and benchmark for scene flow, optical flow and stereo

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.148369Z

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Observation 390c361c-28b0-49c0-9284-d49df1c50555 · outbound

This paper cites Global fusion of relative motions for robust, accurate and scalable structure from motion.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Global fusion of relative motions for robust, accurate and scalable structure from motion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.154119Z

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Observation d47bd875-5bfd-4c13-b103-1e5bdd929ef1 · outbound

This paper cites Orb-slam: A versatile and accurate monocular slam system.IEEE Trans.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Orb-slam: A versatile and accurate monocular slam system.IEEE Trans

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.177884Z

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Observation fe87a775-ba79-4223-9569-77f70bf9db6a · outbound

This paper cites DINOv2: Learning robust visual features without supervi- sion.Transactions on Machine Learning Research.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation DINOv2: Learning robust visual features without supervi- sion.Transactions on Machine Learning Research

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.161595Z

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Observation b63d7057-25fa-47d9-a542-d95011052adf · outbound

This paper cites Palazzolo, J.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Palazzolo, J

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.215232Z

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Observation 63135f44-468e-4cdd-9dc1-407efd1a2444 · outbound

This paper cites Global structure-from-motion revisited.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Global structure-from-motion revisited

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.079358Z

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Observation ee03e53a-3870-4d8d-881d-84d51b7eda93 · outbound

This paper cites Tartan- ground: A large-scale dataset for ground robot perception and navigation.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Tartan- ground: A large-scale dataset for ground robot perception and navigation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.248818Z

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Observation 00534e6d-27a6-484c-b5be-15ff57fb1019 · outbound

This paper cites Low-cost aug- mented reality systems via 3d point cloud sensors.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Low-cost aug- mented reality systems via 3d point cloud sensors

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.059641Z

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Observation 0dbc3a5f-e640-4c94-80aa-696ac36feb60 · outbound

This paper cites Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.071903Z

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Observation 7b3494f5-8c9b-445f-8f24-c9214a79aafb · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Superglue: Learning feature matching with graph neural networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.086624Z

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Observation 44f5529a-4169-4d85-9653-eab737828476 · outbound

This paper cites Structure- from-motion revisited.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Structure- from-motion revisited

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.117925Z

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Observation 23093ebc-0c88-48b3-a6a6-6d3605c80d53 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Pixelwise view selection for unstructured multi-view stereo

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.007760Z

Source-reported events for the cited work

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Observation 740a4dd7-ff81-4a4b-bb2b-125bcf816dcf · outbound

This paper cites A multi-view stereo benchmark with high- resolution images and multi-camera videos.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation A multi-view stereo benchmark with high- resolution images and multi-camera videos

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.064054Z

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Observation 1c30cf01-2cf7-48db-a084-092c772bfbd1 · outbound

This paper cites Scene co- ordinate regression forests for camera relocalization in rgb-d images.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Scene co- ordinate regression forests for camera relocalization in rgb-d images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.222546Z

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Observation 09bdbe06-116f-46b1-8cf8-22b54ffb85d9 · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learn- ing rates.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Super-convergence: Very fast training of neural networks using large learn- ing rates

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.237704Z

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Observation 4f01c313-9155-4c12-8c1f-064d5daa7a2c · outbound

This paper cites Three-dimensional reconstruction for medical-cad modeling.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Three-dimensional reconstruction for medical-cad modeling

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:08.983553Z

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Observation 039d1157-9a2a-4383-8bfe-5019fafabe2f · outbound

This paper cites A benchmark for the evalua- tion of RGB-D slam systems.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation A benchmark for the evalua- tion of RGB-D slam systems

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:08.978651Z

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Observation b8ba3341-d75d-478d-9033-941c1186e864 · outbound

This paper cites Loftr: Detector-free local feature match- ing with transformers.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Loftr: Detector-free local feature match- ing with transformers

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:08.988567Z

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Observation 9aff2733-13ad-4257-bb55-b1c43cc3a916 · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.Adv.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.Adv

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:08.996853Z

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Observation 91bc8efa-e23a-446e-b4cd-7709a8f50dba · outbound

This paper cites Open synthetic dataset for improving cyclist detection.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Open synthetic dataset for improving cyclist detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.068082Z

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Observation 32e1f13a-d7b1-4cbf-bca5-7f2c77dbc985 · outbound

This paper cites Smd-nets: Stereo mixture density networks.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Smd-nets: Stereo mixture density networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.003828Z

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Observation d0d6fade-c28a-4a4f-8ab2-981b057030ba · outbound

This paper cites 3d reconstruction with spatial memory.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation 3d reconstruction with spatial memory

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.051856Z

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Observation f82f68d3-2cf3-48fe-ba27-b9e96b74dece · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Vggt: Vi- sual geometry grounded transformer

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.110334Z

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Observation a791e779-6600-4b8c-b2de-16428a1bfd7f · outbound

This paper cites Continuous 3d per- ception model with persistent state.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Continuous 3d per- ception model with persistent state

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.234360Z

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Observation 477da350-729a-4c59-bc44-3f4de69afd2d · outbound

This paper cites Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.241497Z

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Observation f8ff3215-c870-41d7-9d0c-2f07f31be6b2 · outbound

This paper cites Moge-2: Accurate monocular geometry with metric scale and sharp details.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Moge-2: Accurate monocular geometry with metric scale and sharp details

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.173264Z

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Observation 795fb726-2ac1-4cf2-93dc-581e6aec11d1 · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Dust3r: Geometric 3d vi- sion made easy

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.190853Z

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Observation 8ddb4f41-9279-404b-bf91-a941c5dd49f8 · outbound

This paper cites Tartanair: A dataset to push the limits of vi- sual slam.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Tartanair: A dataset to push the limits of vi- sual slam

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.196557Z

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Observation 5c3e2ca2-e161-4ebe-890f-55afb0450166 · outbound

This paper cites Navigation of a mobile robot in a dynamic environment using a point cloud map.Artif.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Navigation of a mobile robot in a dynamic environment using a point cloud map.Artif

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.106631Z

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Observation 261d71cd-47d9-4d85-9a52-0a7986f51b0d · outbound

This paper cites an unresolved cited work.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-05-23T15:33:09.114079Z

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Observation d5c384ee-4252-4b03-9cff-6e74aae0baff · outbound

This paper cites Frozenrecon: Pose-free 3d scene reconstruction with frozen depth models.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Frozenrecon: Pose-free 3d scene reconstruction with frozen depth models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.098231Z

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Observation 9a8b536b-4e69-4109-991e-95231c552343 · outbound

This paper cites What matters when repurposing diffusion models for gen- eral dense perception tasks? InInt.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation What matters when repurposing diffusion models for gen- eral dense perception tasks? InInt

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.122177Z

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Observation 4dcb8026-8709-4f55-bddc-f4a43f44bdc2 · outbound

This paper cites Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.075790Z

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Observation c249e9ba-e66c-4207-b71f-0f2f53efc4c6 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.082736Z

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Observation fc2d9554-dafb-44fb-b516-2bdfc367447c · outbound

This paper cites Depth any- thing v2.Adv.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Depth any- thing v2.Adv

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.133443Z

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Observation 1febdb3a-73cc-4bf3-ba24-55a707f03159 · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Mvsnet: Depth inference for unstructured multi-view stereo

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.144648Z

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Observation 0ea3d7bd-1b30-43f6-ab65-426fb2daa624 · outbound

This paper cites Blendedmvs: A large- scale dataset for generalized multi-view stereo networks.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Blendedmvs: A large- scale dataset for generalized multi-view stereo networks

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.041091Z

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Observation 609fecd2-775b-44a4-933d-18f125876a66 · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d in- door scenes.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Scannet++: A high-fidelity dataset of 3d in- door scenes

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.055563Z

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Observation 636a2d39-d127-48ad-9703-7a386fbb1caa · outbound

This paper cites Learning to recover 3d scene shape from a single image.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Learning to recover 3d scene shape from a single image

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.029225Z

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Observation f350e490-59fc-4425-87f0-5e72af3babef · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.036930Z

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Observation c46e9f48-783c-4783-9bc8-e24a368f4944 · outbound

This paper cites Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.011551Z

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Observation d245f1c5-f2f0-47a7-9684-83a39ffc7f6e · outbound

This paper cites 3d lidar point cloud based intersec- tion recognition for autonomous driving.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation 3d lidar point cloud based intersec- tion recognition for autonomous driving

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.044940Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 07dc8955-5a43-47c1-aebe-b3c42373d712 · outbound

This paper cites For a fair comparison, we further fine-tune VGGT on “Data3” under the same final training setting as CARVE.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation For a fair comparison, we further fine-tune VGGT on “Data3” under the same final training setting as CARVE

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.015635Z

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Observation a771b5c4-5ad8-4553-9d9a-7a52aa304f17 · outbound

This paper cites 1) We present more training and evaluation details for the ablation study and main ex- periments; 2) We include extended visualization results in Figure 4.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation 1) We present more training and evaluation details for the ablation study and main ex- periments; 2) We include extended visualization results in Figure 4

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.020303Z

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Observation d5dab13a-8d96-4ebc-a5c8-b1d1b70650bf · outbound

This paper cites Lreg(Winv)+L F +L consis.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation Lreg(Winv)+L F +L consis

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.033064Z

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Observation c842b739-c85c-4698-b440-64bc192d41ef · outbound

This paper cites For point cloud estimation, we aggregate the predictions of each sequence in world coordinates by stacking the in- dividual estimations.

Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation For point cloud estimation, we aggregate the predictions of each sequence in world coordinates by stacking the in- dividual estimations

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:33:09.025246Z

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