UniDAC: Universal Metric Depth Estimation for Any Camera | Paper Citation Record

Observation cfe05f5c-3376-40b6-aaaa-a75e228d4bf3 · outbound

This paper cites Hrdfuse: Monocular 360° depth estimation by collab- oratively learning holistic-with-regional depth distributions.

UniDAC: Universal Metric Depth Estimation for Any Camera Hrdfuse: Monocular 360° depth estimation by collab- oratively learning holistic-with-regional depth distributions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.942005Z

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Observation 61d69250-6c32-4f31-91e1-ae7be666f79e · outbound

This paper cites Pano3d: A holistic benchmark and a solid baseline for 360deg depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera Pano3d: A holistic benchmark and a solid baseline for 360deg depth estimation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.719202Z

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Observation 37178412-3864-4c6b-929b-36156d2d0bbf · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

UniDAC: Universal Metric Depth Estimation for Any Camera Adabins: Depth estimation using adaptive bins

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.920299Z

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Observation 16723428-2fd3-46aa-94e0-b1412bf09613 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

UniDAC: Universal Metric Depth Estimation for Any Camera nuscenes: A multi- modal dataset for autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.924693Z

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Observation 431e7a0f-480d-4555-bd83-6c5935718224 · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

UniDAC: Universal Metric Depth Estimation for Any Camera Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:33:10.633758Z

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Observation 2bc8e42c-8e11-4d7a-89fd-1c5ba3d4b1d0 · outbound

This paper cites Towards real-time monocular depth estimation for robotics: A survey.IEEE Transactions on Intelligent Transportation Systems, 23(10):16940–16961.

UniDAC: Universal Metric Depth Estimation for Any Camera Towards real-time monocular depth estimation for robotics: A survey.IEEE Transactions on Intelligent Transportation Systems, 23(10):16940–16961

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.937748Z

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Observation 64217134-955e-44ca-864e-5f72e6da039c · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

UniDAC: Universal Metric Depth Estimation for Any Camera An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.710946Z

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Observation f484e6c5-9ed8-4f27-ba48-ab6cb5acd598 · outbound

This paper cites Depthlab: Real-time 3d in- teraction with depth maps for mobile augmented reality.

UniDAC: Universal Metric Depth Estimation for Any Camera Depthlab: Real-time 3d in- teraction with depth maps for mobile augmented reality

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.776434Z

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Observation 9b82d305-66ab-4e18-91e3-7713df0f65cf · outbound

This paper cites Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans.

UniDAC: Universal Metric Depth Estimation for Any Camera Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.754276Z

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Observation 13abd550-c29a-4e5a-bdf9-608fcd14aaa3 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.Advances in neural information processing systems, 27.

UniDAC: Universal Metric Depth Estimation for Any Camera Depth map prediction from a single image using a multi-scale deep net- work.Advances in neural information processing systems, 27

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.668868Z

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Observation 24db2b9f-d31c-4e07-a15c-5a470ffc2a75 · outbound

This paper cites Simfir: A simple framework for fisheye image rectification with self-supervised representation learn- ing.

UniDAC: Universal Metric Depth Estimation for Any Camera Simfir: A simple framework for fisheye image rectification with self-supervised representation learn- ing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.903679Z

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Observation c6b70af1-6ed1-4898-a31a-9e8216f7bc3b · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera Geowiz- ard: Unleashing the diffusion priors for 3d geometry esti- mation from a single image

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.929157Z

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Observation 05b54545-6f42-4be0-b425-147fb107086f · outbound

This paper cites Extending foun- dational monocular depth estimators to fisheye cameras with calibration tokens.

UniDAC: Universal Metric Depth Estimation for Any Camera Extending foun- dational monocular depth estimators to fisheye cameras with calibration tokens

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.767375Z

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Observation 04a4a4ef-7442-48fd-9ec5-0560609d7bdb · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

UniDAC: Universal Metric Depth Estimation for Any Camera Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.727758Z

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Observation 7b5efa08-cf3e-4b57-8a15-fec98ef607c1 · outbound

This paper cites A unifying theory for central panoramic systems and practical implications.

UniDAC: Universal Metric Depth Estimation for Any Camera A unifying theory for central panoramic systems and practical implications

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.831638Z

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Observation ec0b4a4c-9afb-425e-acca-8bda10928f90 · outbound

This paper cites A2D2: Audi Autonomous Driving Dataset.

UniDAC: Universal Metric Depth Estimation for Any Camera A2D2: Audi Autonomous Driving Dataset

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-29T00:24:28.889631Z

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Observation 3d2c99da-6bb3-4140-b5a0-791d28946163 · outbound

This paper cites 3d packing for self-supervised monocular depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera 3d packing for self-supervised monocular depth estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.827569Z

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Observation 113acf09-e1b7-424a-b469-aae969c176d7 · outbound

This paper cites Towards zero-shot scale-aware monocu- lar depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera Towards zero-shot scale-aware monocu- lar depth estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.815464Z

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Observation 19b0c9dd-257d-40d8-a761-d753013927ee · outbound

This paper cites Depth any camera: Zero-shot metric depth estimation from any camera.

UniDAC: Universal Metric Depth Estimation for Any Camera Depth any camera: Zero-shot metric depth estimation from any camera

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.810880Z

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Observation 4f47fdcb-1d95-412e-9f9d-0d30b1c680ca · outbound

This paper cites Deep residual learning for image recognition.

UniDAC: Universal Metric Depth Estimation for Any Camera Deep residual learning for image recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.844691Z

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Observation 80d14c35-a6e1-43b7-9bcc-1eb5eb54eb6e · outbound

This paper cites Rotary position embedding for vision transformer.

UniDAC: Universal Metric Depth Estimation for Any Camera Rotary position embedding for vision transformer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.894937Z

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Observation d76e1374-70fa-4a9d-b5cc-bca70ec62a0f · outbound

This paper cites One thousand and one hours: Self-driving motion prediction dataset.

UniDAC: Universal Metric Depth Estimation for Any Camera One thousand and one hours: Self-driving motion prediction dataset

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.899258Z

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Observation e8567a5d-cd88-4565-ba6c-7876c9447c38 · outbound

This paper cites an unresolved cited work.

UniDAC: Universal Metric Depth Estimation for Any Camera Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-14T22:33:11.910787Z

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Observation c1fbccec-8271-4e40-b808-d0201eafed86 · outbound

This paper cites Unifuse: Unidirectional fusion for 360° panorama depth estimation.IEEE Robotics Autom.

UniDAC: Universal Metric Depth Estimation for Any Camera Unifuse: Unidirectional fusion for 360° panorama depth estimation.IEEE Robotics Autom

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.877671Z

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Observation 1dd7075c-3b1b-41d9-85cf-bc2f2d3c07df · outbound

This paper cites an unresolved cited work.

UniDAC: Universal Metric Depth Estimation for Any Camera Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-14T22:33:11.864502Z

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Observation 252e5857-ce18-411c-8a32-b52c04c9290c · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.873325Z

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Observation 7fd653e5-dccb-42b3-af93-29416ea23f2a · outbound

This paper cites Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis.

UniDAC: Universal Metric Depth Estimation for Any Camera Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:33:10.615206Z

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Observation 9ef0803f-3a4b-43c5-8553-b9a577015030 · outbound

This paper cites Evaluation of cnn-based single-image depth estimation methods.

UniDAC: Universal Metric Depth Estimation for Any Camera Evaluation of cnn-based single-image depth estimation methods

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.840455Z

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Observation 624b166d-0adf-4538-8b93-51be3a8a6e79 · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:33:10.621676Z

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Observation eb674b61-4500-4dc1-ae0b-ee53ba782106 · outbound

This paper cites Omnifusion: 360 monocular depth estima- tion via geometry-aware fusion.

UniDAC: Universal Metric Depth Estimation for Any Camera Omnifusion: 360 monocular depth estima- tion via geometry-aware fusion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.852441Z

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Observation 99027b02-74e1-4875-b66a-97586312fc66 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310.

UniDAC: Universal Metric Depth Estimation for Any Camera Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.881906Z

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Observation c56207c4-82a8-4408-a2e2-419e048fdbde · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

UniDAC: Universal Metric Depth Estimation for Any Camera Swin transformer: Hierarchical vision transformer using shifted windows

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.945946Z

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Observation 9cbd6f26-5b34-405f-9503-9dc57058417f · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

UniDAC: Universal Metric Depth Estimation for Any Camera SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:33:10.609361Z

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Observation af18f927-8fe5-4099-a811-b8ef4ea88376 · outbound

This paper cites aimotive dataset: A multimodal dataset for robust autonomous driving with long-range perception.

UniDAC: Universal Metric Depth Estimation for Any Camera aimotive dataset: A multimodal dataset for robust autonomous driving with long-range perception

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.819856Z

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Observation 5e787fa8-4400-4c7b-b91f-b663c6aedf39 · outbound

This paper cites Single view point om- nidirectional camera calibration from planar grids.

UniDAC: Universal Metric Depth Estimation for Any Camera Single view point om- nidirectional camera calibration from planar grids

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.723523Z

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Observation 83a913ba-13c8-4f82-aac8-43b49cb26535 · outbound

This paper cites Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?Queue, 6(2):40–53.

UniDAC: Universal Metric Depth Estimation for Any Camera Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?Queue, 6(2):40–53

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.785179Z

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Observation e884bf73-ba21-4eee-9d7a-60edbdfbe55e · outbound

This paper cites Is pseudo-lidar needed for monocular 3d object detection? InProceedings of the IEEE/CVF Inter- national Conference on Computer Vision, pages 3142–3152.

UniDAC: Universal Metric Depth Estimation for Any Camera Is pseudo-lidar needed for monocular 3d object detection? InProceedings of the IEEE/CVF Inter- national Conference on Computer Vision, pages 3142–3152

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.664328Z

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Observation 55a251e7-41e9-4cd2-b884-a3929072eb49 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32.

UniDAC: Universal Metric Depth Estimation for Any Camera Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.706881Z

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Observation 76b812a7-4d1f-4709-8ac2-dfbc3c67b1c8 · outbound

This paper cites idisc: In- ternal discretization for monocular depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera idisc: In- ternal discretization for monocular depth estimation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.886055Z

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

Observation 40bbc9a7-3376-4914-ab45-84b38df1b2f2 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera Unidepth: Universal monocular metric depth estimation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.762989Z

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

Observation 7c13ddb4-6c99-4f9a-94d4-197d9d2cdf49 · outbound

This paper cites Unik3d: Universal camera monocular 3d estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera Unik3d: Universal camera monocular 3d estimation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.780636Z

Source-reported events for the cited work

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

Observation e6c71816-fa1d-4905-95f1-080a9721be71 · outbound

This paper cites Unidepthv2: Universal monocular metric depth estimation made simpler.

UniDAC: Universal Metric Depth Estimation for Any Camera Unidepthv2: Universal monocular metric depth estimation made simpler

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.697796Z

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Observation 160d01db-6203-4243-94d1-a2103d24138d · outbound

This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.

UniDAC: Universal Metric Depth Estimation for Any Camera Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:33:10.646913Z

Source-reported events for the cited work

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

Observation 26330a5e-e03f-4b1a-ac23-095543c8321f · outbound

This paper cites an unresolved cited work.

UniDAC: Universal Metric Depth Estimation for Any Camera Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-05-14T22:33:11.823833Z

Source-reported events for the cited work

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

Observation a43a8837-4623-4964-80c2-6982dcd30c00 · outbound

This paper cites Vi- sion transformers for dense prediction.

UniDAC: Universal Metric Depth Estimation for Any Camera Vi- sion transformers for dense prediction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.802531Z

Source-reported events for the cited work

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

Observation 75272ee6-4659-4a47-9197-bcc4a522cb8a · outbound

This paper cites 360monodepth: High-resolution 360 monocular depth esti- mation.

UniDAC: Universal Metric Depth Estimation for Any Camera 360monodepth: High-resolution 360 monocular depth esti- mation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.772025Z

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Observation 7f156d74-3053-40c0-bf23-c51bc2f2679c · outbound

This paper cites Susskind.

UniDAC: Universal Metric Depth Estimation for Any Camera Susskind

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.714817Z

Source-reported events for the cited work

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

Observation fa94748b-6ef9-457d-916b-fc158b52a3f3 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

UniDAC: Universal Metric Depth Estimation for Any Camera High-resolution image synthesis with latent diffusion models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.677471Z

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

Observation 5eca5a7b-8e4d-4f2f-a66b-3b30b94ac194 · outbound

This paper cites Single image based depth estimation for robotic applications.

UniDAC: Universal Metric Depth Estimation for Any Camera Single image based depth estimation for robotic applications

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.659936Z

Source-reported events for the cited work

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

Observation 3f08ee1a-a312-481d-b8ca-ab36bb4e399f · outbound

This paper cites Depth map esti- mation of single-view image using smartphone camera for a 3-dimension image generation in augmented reality.

UniDAC: Universal Metric Depth Estimation for Any Camera Depth map esti- mation of single-view image using smartphone camera for a 3-dimension image generation in augmented reality

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.745453Z

Source-reported events for the cited work

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

Observation 7af8685f-6dd7-42ff-a377-7851a91794b3 · outbound

This paper cites Panoformer: Panorama transformer for indoor 360$ˆ{\circ}$ depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera Panoformer: Panorama transformer for indoor 360$ˆ{\circ}$ depth estimation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.933175Z

Source-reported events for the cited work

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

Observation 51b85851-b6ae-4460-b268-5e4202409a52 · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera Indoor segmentation and support inference from rgbd images

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.806649Z

Source-reported events for the cited work

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

Observation ed5ff64c-6f92-4a33-8a5a-927206374fbe · outbound

This paper cites DINOv3.

UniDAC: Universal Metric Depth Estimation for Any Camera DINOv3

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T22:33:10.627281Z

Source-reported events for the cited work

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

Observation 24f01ced-9e09-47ab-8041-ee1dfed306e6 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063.

UniDAC: Universal Metric Depth Estimation for Any Camera Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.651571Z

Source-reported events for the cited work

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

Observation 4d81c26a-36ad-43b4-a592-1d5b444bdcca · outbound

This paper cites Learning spherical con- volution for fast features from 360° imagery.

UniDAC: Universal Metric Depth Estimation for Any Camera Learning spherical con- volution for fast features from 360° imagery

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.868448Z

Source-reported events for the cited work

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

Observation 628abcc8-acc9-4865-94bf-7ffc623506a4 · outbound

This paper cites Anycalib: On- manifold learning for model-agnostic single-view camera calibration.

UniDAC: Universal Metric Depth Estimation for Any Camera Anycalib: On- manifold learning for model-agnostic single-view camera calibration

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.681708Z

Source-reported events for the cited work

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

Observation ce0a7c55-eaae-462a-a6d6-d8dec8b7c458 · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:33:10.597407Z

Source-reported events for the cited work

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

Observation 3f499670-afa7-4473-a76e-8a84dadea046 · outbound

This paper cites Pseudo- lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving.

UniDAC: Universal Metric Depth Estimation for Any Camera Pseudo- lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.732507Z

Source-reported events for the cited work

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

Observation 2713eb2c-32ff-4a05-9eed-241e0adbc464 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

UniDAC: Universal Metric Depth Estimation for Any Camera Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:33:10.603247Z

Source-reported events for the cited work

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

Observation a1d71b5c-d151-4619-a59d-6f619fc6365f · outbound

This paper cites Efficient de- formable convnets: Rethinking dynamic and sparse operator for vision applications.

UniDAC: Universal Metric Depth Estimation for Any Camera Efficient de- formable convnets: Rethinking dynamic and sparse operator for vision applications

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.736542Z

Source-reported events for the cited work

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

Observation d57f074d-69ee-4f6a-81f3-dea50390b9b8 · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera Depth anything: Unleashing the power of large-scale unlabeled data

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.740784Z

Source-reported events for the cited work

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

Observation d044482c-c683-451f-ad32-9dad03919c88 · outbound

This paper cites Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911.

UniDAC: Universal Metric Depth Estimation for Any Camera Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.789368Z

Source-reported events for the cited work

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

Observation ac8baecf-cb9e-44b2-a311-a4f6b2bfff17 · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera Scannet++: A high-fidelity dataset of 3d in- door scenes

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.856590Z

Source-reported events for the cited work

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

Observation ea0d26a3-adaa-4a26-9b04-d14c8cdea1a1 · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera Learning to recover 3d scene shape from a single image

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.655653Z

Source-reported events for the cited work

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

Observation 485e2a29-d0c2-4153-928c-956dd881410b · outbound

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

UniDAC: Universal Metric Depth Estimation for Any Camera Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.836201Z

Source-reported events for the cited work

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

Observation f135e812-4a6a-4c80-9bf2-ef1b74de7077 · outbound

This paper cites Neural window fully-connected crfs for monocu- lar depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera Neural window fully-connected crfs for monocu- lar depth estimation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.793822Z

Source-reported events for the cited work

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

Observation 28f7572c-5b5d-4647-b2d6-a136ecf89853 · outbound

This paper cites Egformer: Equirectangular geometry- biased transformer for 360 depth estimation.

UniDAC: Universal Metric Depth Estimation for Any Camera Egformer: Equirectangular geometry- biased transformer for 360 depth estimation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.798253Z

Source-reported events for the cited work

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

Observation dfa92d11-04b6-43e4-bc45-77858a301b08 · outbound

This paper cites Taskonomy: Disentangling task transfer learning.

UniDAC: Universal Metric Depth Estimation for Any Camera Taskonomy: Disentangling task transfer learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.694020Z

Source-reported events for the cited work

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

Observation 8ab5f8aa-9277-4bfc-ab6f-d103543d511c · outbound

This paper cites Replay: Remove projective lidar depthmap artifacts via exploiting epipolar geometry.

UniDAC: Universal Metric Depth Estimation for Any Camera Replay: Remove projective lidar depthmap artifacts via exploiting epipolar geometry

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.702022Z

Source-reported events for the cited work

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

Observation 454352d3-c318-4bad-ab07-4b0df1389088 · outbound

This paper cites De- formable convnets V2: more deformable, better results.

UniDAC: Universal Metric Depth Estimation for Any Camera De- formable convnets V2: more deformable, better results

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.890194Z

Source-reported events for the cited work

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

Observation 492b2526-7221-46b2-84f9-f9d2b48684f3 · outbound

This paper cites an unresolved cited work.

UniDAC: Universal Metric Depth Estimation for Any Camera Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-05-14T22:33:11.848494Z

Source-reported events for the cited work

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

Observation 7e142f3c-ffe3-4bee-9653-5d01b39faf63 · outbound

This paper cites Training Data Tab.

UniDAC: Universal Metric Depth Estimation for Any Camera Training Data Tab

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.758547Z

Source-reported events for the cited work

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

Observation 3143844a-ee69-45f4-bb8b-b96f77bd736a · outbound

This paper cites 5.2, the comparison with UniK3D [41] is not fair to UniDAC, since [41] is trained on large-FoV images.

UniDAC: Universal Metric Depth Estimation for Any Camera 5.2, the comparison with UniK3D [41] is not fair to UniDAC, since [41] is trained on large-FoV images

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.749929Z

Source-reported events for the cited work

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

Observation 89c5f7a1-44e4-42c4-b000-28374ed8d14e · outbound

This paper cites ‘+A2D2’ denotes adding A2D2 [16] in the training data as detailed in Sec.

UniDAC: Universal Metric Depth Estimation for Any Camera ‘+A2D2’ denotes adding A2D2 [16] in the training data as detailed in Sec

Reference 74

Resolution: malformed identifier; raw_fallback, observed 2026-05-14T22:33:11.673049Z

Source-reported events for the cited work

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

Observation 7cade4d2-4350-4f2b-9ad9-5c148a165af1 · outbound

This paper cites While [14, 28, 52] provide artifact- free depthmaps in their official dataset, we utilize [69] to estimate artifact-free depthmaps for [4].

UniDAC: Universal Metric Depth Estimation for Any Camera While [14, 28, 52] provide artifact- free depthmaps in their official dataset, we utilize [69] to estimate artifact-free depthmaps for [4]

Reference 75

Resolution: malformed identifier; raw_fallback, observed 2026-05-14T22:33:11.860946Z

Source-reported events for the cited work

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

Observation adc54a33-0c4b-467a-86d5-dd1f04676d44 · outbound

This paper cites 9 evaluates the effect of initializing encodersEwith different pre-trained weights on the model performance.

UniDAC: Universal Metric Depth Estimation for Any Camera 9 evaluates the effect of initializing encodersEwith different pre-trained weights on the model performance

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.915830Z

Source-reported events for the cited work

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

Observation 4e63ebc5-807b-4557-b599-62c11a52e7b3 · outbound

This paper cites 4.2, we estimate a scale mapSin- stead of a 1-D scalarsto adjust for irregularities.

UniDAC: Universal Metric Depth Estimation for Any Camera 4.2, we estimate a scale mapSin- stead of a 1-D scalarsto adjust for irregularities

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T22:33:11.690192Z

Source-reported events for the cited work

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

Observation a10474fd-f810-4f5e-aae8-48afbbe63310 · outbound

This paper cites an unresolved cited work.

UniDAC: Universal Metric Depth Estimation for Any Camera Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-05-14T22:33:11.685715Z

Source-reported events for the cited work

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

Coverage vector

Reference resolution

Outbound references

Pith citing papers