Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:31:01.975283Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 1 inbound Pith citation observation for arXiv:2411.19189.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:31:01.975283Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T23:15:20.254402Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T23:24:02.091990Z
88 of 88 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 507e7022-fdaf-4084-88b5-f9c5722ccc6e · outbound
Video Depth without Video Models Bidirectional attention network for monocular depth estimation
Reference 1
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Observation 204de18b-90a8-4a39-8cea-91ab1ba0cd9b · outbound
Video Depth without Video Models AdaBins: Depth estimation using adaptive bins
Reference 2
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Observation 1ab953cd-a1aa-4f3c-8a2c-1a1caa5a53f7 · outbound
Video Depth without Video Models ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
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Observation 75bbbc40-938c-48f2-979b-ed448ffca992 · outbound
Video Depth without Video Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
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Observation b9a9e055-e7eb-4c60-b1b9-fcb1c021889c · outbound
Video Depth without Video Models Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
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Observation 1e554693-4b2d-4ed4-bd83-59bd4c5d1ebb · outbound
Video Depth without Video Models Pix2Video: Video editing using image diffusion
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Video Depth without Video Models Self-supervised learning with geometric constraints in monocular video: Connecting flow, depth, and camera
Reference 7
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Observation 6829c104-18d1-4dac-87aa-366847d3ad27 · outbound
Video Depth without Video Models Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Niessner
Reference 8
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Observation f7b13c93-1053-488e-986c-b8b61c30a104 · outbound
Video Depth without Video Models Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner
Reference 9
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Observation 0fdcab84-ca89-4c24-8f79-b2d7267b7803 · outbound
Video Depth without Video Models Warped diffusion: Solving video inverse problems with image diffusion models
Reference 10
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Observation b82abd2c-4468-4e0a-8398-10b027644a9b · outbound
Video Depth without Video Models DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
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Observation cfe8e210-1d49-439a-a892-b2b25ce751c7 · outbound
Video Depth without Video Models Depth map prediction from a single image using a multi-scale deep net- work
Reference 12
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Observation 60ad2e89-56ff-40b4-b4d5-10f499920978 · outbound
Video Depth without Video Models Deep ordinal regression net- work for monocular depth estimation
Reference 13
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Observation c62ae05e-c8e3-41e5-9dec-ab40d8093018 · outbound
Video Depth without Video Models GeoWiz- ard: Unleashing the diffusion priors for 3d geometry estima- tion from a single image
Reference 14
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Observation 952a6f5c-9836-4b1f-af69-3721799602e4 · outbound
Video Depth without Video Models Multi-view stereo: A tutorial
Reference 15
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Observation 40640050-410c-421b-8f50-23ac2eee121b · outbound
Video Depth without Video Models Fine-tuning image-conditional diffusion models is easier than you think
Reference 16
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Observation d6ee4879-9902-4fcf-8e99-c9ae7a550b04 · outbound
Video Depth without Video Models AliceVision Meshroom: An open- source 3d reconstruction pipeline
Reference 17
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Observation 22feaac2-643b-48ef-9212-fff47be37735 · outbound
Video Depth without Video Models DepthFM: Fast Monocular Depth Estimation with Flow Matching
Reference 18
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Observation 435fd2d8-7dcd-49a0-908e-1f7b79d138f9 · outbound
Video Depth without Video Models 3d packing for self-supervised monocular depth estimation
Reference 19
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Observation ff25ae2c-843c-42cd-a2b6-92a68d290066 · outbound
Video Depth without Video Models Towards zero-shot scale-aware monoc- ular depth estimation
Reference 20
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Observation 862a587c-9c33-450c-b771-d1576e9dc811 · outbound
Video Depth without Video Models Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Reference 21
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Observation 4f34e0e8-3cdf-49a8-9e8a-5117ac170b38 · outbound
Video Depth without Video Models Denoising diffu- sion probabilistic models
Reference 22
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Observation 4c04a0b5-1a9d-448a-ac4d-eca2b0ac8199 · outbound
Video Depth without Video Models Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
Reference 23
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Observation 34e551eb-4817-44e1-92bf-6c88593ff22c · outbound
Video Depth without Video Models DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
Reference 24
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Observation e8561de6-6fe2-41b2-a210-212a9823cac0 · outbound
Video Depth without Video Models Repurpos- ing diffusion-based image generators for monocular depth estimation
Reference 25
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Observation fd429453-75fd-4c59-825c-c08c4c19135e · outbound
Video Depth without Video Models 3d Gaussian splatting for real-time radiance field rendering
Reference 26
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Observation a67928a0-0eed-4e55-a7ae-720c6e0b10ad · outbound
Video Depth without Video Models Text2Video-Zero: Text- to-image diffusion models are zero-shot video generators
Reference 27
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Observation e8225162-637c-416d-b9d3-864408c7f9a1 · outbound
Video Depth without Video Models EscherNet: A generative model for scalable view synthesis
Reference 28
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Observation 9bbbb42c-cefa-4371-8225-c70b9d9647fa · outbound
Video Depth without Video Models Robust consistent video depth estimation
Reference 29
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Observation f87ee3bb-adc8-4bb9-aa32-f7a57d5d3b0e · outbound
Video Depth without Video Models Solving Video Inverse Problems Using Image Diffusion Models
Reference 30
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Observation 380c524c-704b-4acb-ba37-ba04eea4b98f · outbound
Video Depth without Video Models From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Reference 31
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Observation d8f62468-4713-4128-b130-07e087c01a4e · outbound
Video Depth without Video Models MegaDepth: Learning single- view depth prediction from internet photos
Reference 32
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Observation eabffd05-2720-4d0c-bf5c-9f3cb901bc34 · outbound
Video Depth without Video Models BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
Reference 33
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Observation b7fa91fa-e083-4195-ac68-b31b3b90d185 · outbound
Video Depth without Video Models DepthFormer: Exploiting long-range correlation and local information for accurate monocular depth estimation
Reference 34
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Observation 481c72b1-cec9-468c-86de-c1b221da4619 · outbound
Video Depth without Video Models Temporally consistent online depth estimation in dynamic scenes
Reference 35
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Observation f9ebe0e3-dfb4-44f5-b95d-fc5cc9f4b944 · outbound
Video Depth without Video Models Patch- Fusion: An end-to-end tile-based framework for high- resolution monocular metric depth estimation
Reference 36
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Observation d64d3662-0bb2-4520-af55-3763bba33551 · outbound
Video Depth without Video Models PatchRe- finer: Leveraging synthetic data for real-domain high- resolution monocular metric depth estimation
Reference 37
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Observation ad86ee3f-4ea5-408c-a561-38c47e2393cd · outbound
Video Depth without Video Models Common diffusion noise schedules and sample steps are flawed
Reference 38
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Observation e08582c1-c91b-41fa-9d3e-b2392fe6da4c · outbound
Video Depth without Video Models V A-DepthNet: A variational approach to sin- gle image depth prediction
Reference 39
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Video Depth without Video Models Video-P2P: Video editing with cross-attention control
Reference 40
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Observation 2af15d2e-7aee-494f-9ff5-b44e70f2dc13 · outbound
Video Depth without Video Models SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Reference 41
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Observation 9be976d2-92a6-4e6e-9e8a-32cedc83b05b · outbound
Video Depth without Video Models Decoupled weight decay regularization
Reference 42
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Observation 3e086bdf-840e-4fe8-b9fd-8ab3d8323262 · outbound
Video Depth without Video Models Consistent video depth estimation.ACM Transactions on Graphics, 39(4), 2020
Reference 43
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Video Depth without Video Models NeRF: Representing scenes as neural radiance fields for view syn- thesis
Reference 44
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Observation 8fcb55ee-7cea-4a89-ad43-05c5ab084d2e · outbound
Video Depth without Video Models All in tokens: Uni- fying output space of visual tasks via soft token
Reference 45
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Observation c2f00492-7546-43d7-9bdb-3708338816a4 · outbound
Video Depth without Video Models DINOv2: Learning Robust Visual Features without Supervision
Reference 46
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Video Depth without Video Models ReFusion: 3d reconstruc- tion in dynamic environments for RGB-D cameras exploit- ing residuals
Reference 47
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Video Depth without Video Models P3Depth: Monocular depth estimation with a piecewise planarity prior
Reference 48
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Observation e7e2d022-3458-4da9-a0d2-451a6a01bb24 · outbound
Video Depth without Video Models UniDepth: Universal monocular metric depth estimation
Reference 49
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Observation c4d69034-2dee-4d07-8773-7a0640579482 · outbound
Video Depth without Video Models UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler
Reference 50
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Observation f12d81f2-dcf5-47c4-948f-4d4f11cf43e8 · outbound
Video Depth without Video Models FateZero: Fus- ing attentions for zero-shot text-based video editing
Reference 51
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Video Depth without Video Models Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
Reference 52
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Video Depth without Video Models Susskind
Reference 53
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Video Depth without Video Models High-resolution image syn- thesis with latent diffusion models
Reference 54
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Video Depth without Video Models Monocular Depth Estimation using Diffusion Models
Reference 55
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Video Depth without Video Models Structure- from-motion revisited
Reference 56
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Video Depth without Video Models LAION-5B: An open large-scale dataset for train- ing next generation image-text models
Reference 57
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Video Depth without Video Models Learning Temporally Consistent Video Depth from Video Diffusion Priors
Reference 58
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Video Depth without Video Models Denois- ing diffusion implicit models
Reference 59
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Video Depth without Video Models Consistent Direct Time-of-Flight Video Depth Super-Resolution
Reference 60
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Video Depth without Video Models Deepv2d: Video to depth with differentiable structure from motion
Reference 61
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Video Depth without Video Models TartanAir: A dataset to push the limits of visual SLAM
Reference 62
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Video Depth without Video Models Less is more: Consistent video depth estimation with masked frames modeling
Reference 63
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Video Depth without Video Models Neural video depth stabilizer
Reference 64
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Reference 65
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Video Depth without Video Models Tune-A-Video: One-shot tuning of image diffusion models for text-to-video generation
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Video Depth without Video Models What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Reference 67
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Video Depth without Video Models GMFlow: Learning optical flow via global matching
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Video Depth without Video Models Transformer-based attention networks for con- tinuous pixel-wise prediction
Reference 69
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Video Depth without Video Models Depth Any Video with Scalable Synthetic Data
Reference 70
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Video Depth without Video Models Depth Anything: Unleashing the power of large-scale unlabeled data
Reference 71
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Reference 72
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Video Depth without Video Models Rerender a video: Zero-shot text-guided video-to-video translation
Reference 73
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Video Depth without Video Models MVSNet: Depth inference for unstructured multi- view stereo
Reference 74
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Video Depth without Video Models MAMo: Leveraging memory and attention for monocular video depth estimation
Reference 75
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Video Depth without Video Models FutureDepth: Learning to predict the future improves video depth estimation
Reference 76
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Video Depth without Video Models DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
Reference 77
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Video Depth without Video Models Met- ric3D: Towards zero-shot metric 3d prediction from a single image
Reference 78
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Video Depth without Video Models NeWCRFs: Neural window fully-connected CRFs for monocular depth estimation
Reference 79
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Observation 00272e04-f534-4c59-9f72-b0c00e4637d0 · outbound
Video Depth without Video Models Exploiting temporal consistency for real-time video depth estimation
Reference 80
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Video Depth without Video Models BetterDepth: Plug-and-play dif- fusion refiner for zero-shot monocular depth estimation
Reference 81
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Video Depth without Video Models Consistent depth of moving objects in video
Reference 82
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Video Depth without Video Models Towards consistent video edit- ing with text-to-image diffusion models
Reference 83
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Observation 0a3e5fbf-5e3d-485e-92b1-4bd17bd1b5d4 · outbound
Video Depth without Video Models Unleashing Text-to-Image Diffusion Models for Visual Perception
Reference 84
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Video Depth without Video Models Discrete cosine transform network for guided depth map super-resolution
Reference 85
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Video Depth without Video Models DDFM: Denoising diffusion model for multi-modality image fusion
Reference 86
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Observation 60fe359e-4536-48dc-827b-f9cb8b9ff1d3 · outbound
Video Depth without Video Models PointOdyssey: A large-scale synthetic dataset for long-term point tracking
Reference 87
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5d474f9b-87f7-44cf-bfc7-7ffb4ba00e1e · outbound
Video Depth without Video Models num-frames
Reference 2023
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 163a352c-fcf8-4785-b463-ba548262d900 · inbound
Stabilizing Streaming Video Geometry via Dynamic Feature Normalization Video Depth without Video Models
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.