MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement | Paper Citation Record

Observation 60bd6390-b17c-473d-b3ad-ba93958e9279 · outbound

This paper cites Apollo synthetic dataset, 2019.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Apollo synthetic dataset, 2019

Reference 1

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Observation 5a7350ac-3e9a-488e-8042-348de279f37e · outbound

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

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement ARKitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data

Reference 2

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Observation 5219e44f-164d-44bb-bd4e-3a188493de93 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 3

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Observation f82eda3d-bf7b-418e-b053-9685172c4f05 · outbound

This paper cites Richter, and Vladlen Koltun.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Richter, and Vladlen Koltun

Reference 4

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This paper cites an unresolved cited work.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Unresolved cited work

Reference 5

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Observation 8f7563e7-05c3-43fb-b192-ffa2b81f5132 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks, 2019.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement 4d spatio-temporal convnets: Minkowski convolutional neural networks, 2019

Reference 6

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Observation 7aa82530-8844-46fc-a087-bf25ae70001b · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Objaverse: A Universe of Annotated 3D Objects

Reference 7

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Observation 17b0d12b-02b7-4287-9403-438b649bc29e · outbound

This paper cites Mid-air: A multi-modal dataset for extremely low altitude drone flights.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Mid-air: A multi-modal dataset for extremely low altitude drone flights

Reference 8

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Observation 707fc724-90dd-4a88-b683-606cd904cb81 · outbound

This paper cites GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image

Reference 9

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Observation e85d7cd6-8595-45ec-9b11-9574331d8b64 · outbound

This paper cites an unresolved cited work.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Unresolved cited work

Reference 10

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Observation 8b08cb6a-a43a-45b2-8b83-ed737c661be6 · outbound

This paper cites 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Reference 11

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Observation 0c29e9fa-07d6-4107-9ef0-cc4a1073798a · outbound

This paper cites Gómez, Manuel Silva, Antonio Seoane, Agnés Borràs, Mario Noriega, German Ros, Jose A.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Gómez, Manuel Silva, Antonio Seoane, Agnés Borràs, Mario Noriega, German Ros, Jose A

Reference 12

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Observation 9397d54b-1ff3-4fa4-b7ef-70fc29956dab · outbound

This paper cites an unresolved cited work.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Unresolved cited work

Reference 13

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Observation d0573369-6f5c-4076-ac96-88f6c3ff0200 · outbound

This paper cites Deep- mvs: Learning multi-view stereopsis.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Deep- mvs: Learning multi-view stereopsis

Reference 14

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Observation 25019c30-f343-41b4-a683-486818fae61c · outbound

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

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement On the importance of accurate geometry data for dense 3d vision tasks

Reference 15

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Observation d6fcd443-2377-4f87-b30f-94e15b32c595 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation,.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Repurposing diffusion-based image generators for monocular depth estimation,

Reference 16

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Observation 15c865f3-ccbf-42e0-9238-63bc95522478 · outbound

This paper cites Comparison of monocular depth estimation methods using geometrically relevant metrics on the ibims-1 dataset.Computer Vision and Image Understanding (CVIU), 191:102877, 2020.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Comparison of monocular depth estimation methods using geometrically relevant metrics on the ibims-1 dataset.Computer Vision and Image Understanding (CVIU), 191:102877, 2020

Reference 17

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Observation bfd910eb-526d-455d-9dbb-556b73b7d590 · outbound

This paper cites EDEN: Multimodal Synthetic Dataset of Enclosed garDEN Scenes.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement EDEN: Multimodal Synthetic Dataset of Enclosed garDEN Scenes

Reference 19

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Observation 28d99d91-7c28-4348-9ac1-d41fc17096c9 · outbound

This paper cites MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

Reference 20

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Observation 32ffda98-5b38-433f-a88c-16344fa0187c · outbound

This paper cites MegaDepth: Learning Single-View Depth Prediction from Internet Photos.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement MegaDepth: Learning Single-View Depth Prediction from Internet Photos

Reference 21

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Observation 23522f04-d136-4789-bd66-5705f031e775 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Depth Anything 3: Recovering the Visual Space from Any Views

Reference 22

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Observation da1a6c38-23ff-4e4f-bdeb-1da68eda5a73 · outbound

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

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo

Reference 23

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Observation 2430cff1-44a3-424b-b96e-e34d04043299 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Indoor segmentation and support inference from rgbd images

Reference 24

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Observation bb021045-bf7b-4e82-bf3b-a039eff2d7f5 · outbound

This paper cites 3d ken burns effect from a single image,.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement 3d ken burns effect from a single image,

Reference 25

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Observation 57599190-ee8f-4511-a134-4b93f6280d14 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement DINOv2: Learning Robust Visual Features without Supervision

Reference 26

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Observation 89c5aa4d-5fae-4dc8-9544-6695f9ec46a2 · outbound

This paper cites UniDepth: Universal Monocular Metric Depth Estimation.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement UniDepth: Universal Monocular Metric Depth Estimation

Reference 27

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Observation 3eb221fb-56b4-481b-b625-001a8ed1a3a5 · outbound

This paper cites UniK3D: Universal Camera Monocular 3D Estimation.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement UniK3D: Universal Camera Monocular 3D Estimation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:23.601418Z

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Observation a2e96322-d4bf-4d8d-a9ad-afc96d17b241 · outbound

This paper cites 3D Ken Burns Effect from a Single Image.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement 3D Ken Burns Effect from a Single Image

Reference 29

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Observation 2b9cb9cd-0d6e-4143-9098-b7ef5edcb7ee · outbound

This paper cites Vision Transformers for Dense Prediction.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Vision Transformers for Dense Prediction

Reference 30

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Observation eb4f3611-f560-447d-a7ed-fe314286a4ac · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement SAM 2: Segment Anything in Images and Videos

Reference 31

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Observation 01be916e-13ce-4ea1-8904-d6076d75ea59 · outbound

This paper cites 3dvnet: Multi-view depth prediction and volumetric refinement.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement 3dvnet: Multi-view depth prediction and volumetric refinement

Reference 32

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Observation 73735029-e415-4136-9db1-98df445c89b9 · outbound

This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 33

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Observation dc923120-2a8b-4033-a8b8-517f3436c071 · outbound

This paper cites an unresolved cited work.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Unresolved cited work

Reference 34

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Observation 9750b4f4-4025-495e-bd9b-bb50f15ab9c0 · outbound

This paper cites BAD SLAM: Bundle adjusted direct RGB-D SLAM.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement BAD SLAM: Bundle adjusted direct RGB-D SLAM

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:23.795702Z

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Observation 31249720-a261-4f74-980d-a8b9a92a6a51 · outbound

This paper cites DINOv3.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement DINOv3

Reference 36

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Observation 1d5c42eb-746a-435f-8a79-eb497c3a413a · outbound

This paper cites Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

Reference 37

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Observation 176c2f7d-9e25-4b4c-a892-de600579bfa8 · outbound

This paper cites Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Reference 38

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Observation d007b813-9062-4904-8ca5-faf6ec77b0e4 · outbound

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

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Smd-nets: Stereo mixture density networks

Reference 39

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Observation db5c27c7-e8af-445b-a06a-6f7e7280d0fa · outbound

This paper cites Sparsity invariant cnns.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Sparsity invariant cnns

Reference 40

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Observation 80a321be-b716-49cc-aedf-e05e28f4c25e · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Scalability in perception for autonomous driving: Waymo open dataset

Reference 41

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Observation c69adfa3-3451-4987-87e8-5895ebabf08c · outbound

This paper cites Flow-Motion and Depth Network for Monocular Stereo and Beyond.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Flow-Motion and Depth Network for Monocular Stereo and Beyond

Reference 42

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Observation 1cc18ed6-a08d-447a-a829-61293dc38e1e · outbound

This paper cites IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation

Reference 43

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Observation 779a25f6-65ef-4e8e-8a82-c5134a36b288 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 44

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Observation 40ce639b-454a-4015-ae71-3f6779098c0b · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement DIODE: A Dense Indoor and Outdoor DEpth Dataset

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Observation 71b8093a-9d78-4e42-b5d6-785a8009f52b · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam,.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Tartanair: A dataset to push the limits of visual slam,

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Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.233746Z

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Observation a79017d8-699e-4fc6-9a28-29cab1f41718 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Argoverse 2: Next generation datasets for self-driving perception and forecasting

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Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.313039Z

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Observation 3df5b8ba-953e-4435-9c66-5ae247eda4c1 · outbound

This paper cites Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

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Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.340299Z

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Observation 4ad5a0f4-b573-4885-84a1-3fd6f5877cbe · outbound

This paper cites MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

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Observation 2f6c6357-291b-4f92-91d8-fcab1cddcb06 · outbound

This paper cites Sparse convolutional networks for surface reconstruction from noisy point clouds.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Sparse convolutional networks for surface reconstruction from noisy point clouds

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Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.208962Z

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Observation 3a6488c3-b5a8-4e17-a467-a6565f0cbf31 · outbound

This paper cites Second: Sparsely embedded convolutional detection.Sensors, 18(10), 2018.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Second: Sparsely embedded convolutional detection.Sensors, 18(10), 2018

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Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.466281Z

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Observation 3a97d50e-b18c-40fb-811f-ff676b901c52 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

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Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.525121Z

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Observation b5c29b6a-6ee1-4c96-b1c0-93f0e4661f73 · outbound

This paper cites Depth Anything V2.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Depth Anything V2

Reference 54

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Observation 9f0f2ce7-96b5-4029-ad14-0210a2ba2b3f · outbound

This paper cites BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

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Observation eb2795bd-faca-4a78-9a17-5cb3ba1c8eeb · outbound

This paper cites Native and Compact Structured Latents for 3D Generation.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Native and Compact Structured Latents for 3D Generation

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Observation 6a47b7e0-ddd9-435f-988c-cc338e941253 · outbound

This paper cites Pixel-perfect depth with semantics-prompted diffusion transformers, 2025.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Pixel-perfect depth with semantics-prompted diffusion transformers, 2025

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Observation 4635355b-508b-44a8-ad0f-3ffff4c0edcc · outbound

This paper cites Infinidepth: Arbitrary-resolution and fine-grained depth estimation with neural implicit fields, 2026.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Infinidepth: Arbitrary-resolution and fine-grained depth estimation with neural implicit fields, 2026

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Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.756059Z

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Observation 7f236af0-1ea8-4879-8f7f-dcb46be811c1 · outbound

This paper cites Taskonomy: Disentangling Task Transfer Learning.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Taskonomy: Disentangling Task Transfer Learning

Reference 59

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Observation 911a1829-c8d8-476b-88b8-985f7b62c607 · outbound

This paper cites Structured3d: A large photo-realistic dataset for structured 3d modeling.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Structured3d: A large photo-realistic dataset for structured 3d modeling

Reference 60

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Observation b2be98cd-4232-4601-a877-e1f8b3603337 · outbound

This paper cites Omniworld: A multi-domain and multi-modal dataset for 4d world modeling, 2025.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Omniworld: A multi-domain and multi-modal dataset for 4d world modeling, 2025

Reference 61

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Observation bfcd42dc-7f9e-43d3-9395-e559a4680714 · outbound

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

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.653144Z

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Observation 1c251c9b-40c0-4770-89e5-8e9b53b6ca7d · outbound

This paper cites Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.715130Z

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Observation 810d4dde-081a-4678-9cbf-7f869cec8cd0 · outbound

This paper cites Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 2019

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Observation fedba0d9-71cb-43ff-83d9-cdeddd1251a3 · outbound

This paper cites TartanAir: A Dataset to Push the Limits of Visual SLAM.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement TartanAir: A Dataset to Push the Limits of Visual SLAM

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:24.276740Z

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Observation a6d834b2-b773-49dd-b81e-0804a3241d51 · outbound

This paper cites Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Reference 2024

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Observation bef0607b-c4b3-4a65-9aa9-c27bad3a4c34 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 2025

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