Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images | Paper Citation Record

Observation c3bdf08a-572b-45f6-81b2-1c5708cf3174 · outbound

This paper cites Object tracking in satellite videos based on a multiframe optical flow tracker,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Object tracking in satellite videos based on a multiframe optical flow tracker,

Reference 1

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Observation 82868004-9fa6-40b1-bc05-121807833087 · outbound

This paper cites Siamese-detr for generic multi- object tracking,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Siamese-detr for generic multi- object tracking,

Reference 2

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Observation 3e69676f-71b6-4f6f-b5ef-447819854700 · outbound

This paper cites Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models,

Reference 3

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Observation b0b27218-4bcd-4f98-a6c3-bb0b618f902d · outbound

This paper cites Learning monocular 3d reconstruc- tion of articulated categories from motion,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Learning monocular 3d reconstruc- tion of articulated categories from motion,

Reference 4

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Observation 3e5febd8-56aa-49e2-a435-dcde46bd9c58 · outbound

This paper cites Flow- fusion: Dynamic dense rgb-d slam based on optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Flow- fusion: Dynamic dense rgb-d slam based on optical flow,

Reference 5

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Observation 00538166-cdd7-4ea7-957c-37bf2ebb3338 · outbound

This paper cites Improving monocular visual slam in dynamic environments: an optical-flow-based ap- proach,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Improving monocular visual slam in dynamic environments: an optical-flow-based ap- proach,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:43.143140Z

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Observation 3ce91636-3c75-446c-bea4-0b61ddd0d0d2 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,

Reference 7

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Observation 23544dac-ef3f-45af-8225-2119c573d749 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Raft: Recurrent all-pairs field transforms for optical flow,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:43.386938Z

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Observation e32b2e9c-d82c-404e-b545-37412a802b24 · outbound

This paper cites A lightweight optical flow cnn —revisiting data fidelity and regularization,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images A lightweight optical flow cnn —revisiting data fidelity and regularization,

Reference 9

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Observation 95e22663-80e9-4e14-afab-db589705c2e4 · outbound

This paper cites Motion detail preserving optical flow estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Motion detail preserving optical flow estimation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:43.554899Z

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Observation 9af93bd0-925a-46d7-8b62-93a4cff77a50 · outbound

This paper cites Deep- flow: Large displacement optical flow with deep matching,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Deep- flow: Large displacement optical flow with deep matching,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:43.709616Z

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Observation 8b53ee18-b789-419e-afe4-90951d7cc191 · outbound

This paper cites Flownet: Learning op- tical flow with convolutional networks,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Flownet: Learning op- tical flow with convolutional networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:43.833508Z

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Observation 421eb532-bb89-4e12-b1b0-34b2a32a457c · outbound

This paper cites Flownet 2.0: Evolution of optical flow estimation with deep networks,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Flownet 2.0: Evolution of optical flow estimation with deep networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:43.961850Z

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Observation f5a85dd7-7e2d-45a1-8e72-760c797419a1 · outbound

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

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:44.103788Z

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Observation 7de1a2df-1fae-4686-b390-fc0b5924e1a6 · outbound

This paper cites Object scene flow for autonomous vehicles,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Object scene flow for autonomous vehicles,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.396851Z

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Observation d4c7ca85-cd94-4080-b8b9-c3ec62e23147 · outbound

This paper cites Dynamic shape capture via periodical- illumination optical flow estimation and multi-view photometric stereo,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Dynamic shape capture via periodical- illumination optical flow estimation and multi-view photometric stereo,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.386867Z

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Observation a0a3aae3-5111-410e-ba57-3a12deebc625 · outbound

This paper cites Learning optical flow and scene flow with bidirectional camera-lidar fusion,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Learning optical flow and scene flow with bidirectional camera-lidar fusion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.377194Z

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Observation a34c7f51-99e5-4a3e-a374-560ba7412017 · outbound

This paper cites Dense continuous- time optical flow from event cameras,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Dense continuous- time optical flow from event cameras,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.367900Z

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Observation 4b3aaf8d-5051-455e-a018-45aff1c623e9 · outbound

This paper cites How do neural networks estimate optical flow? a neuropsychology- inspired study,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images How do neural networks estimate optical flow? a neuropsychology- inspired study,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.358369Z

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Observation 5cb1d18d-974c-4acc-8c87-61db17e17c45 · outbound

This paper cites Instance segmen- tation in the dark,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Instance segmen- tation in the dark,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.348791Z

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Observation 8b6a2e90-4fee-49a9-b76a-7dc75b5a20ee · outbound

This paper cites Learning optical flow from still images,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Learning optical flow from still images,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.339343Z

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Observation c9472c7f-0651-471d-a21d-6c83b6da1393 · outbound

This paper cites Realflow: Em-based realistic optical flow dataset generation from videos,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Realflow: Em-based realistic optical flow dataset generation from videos,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.329173Z

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Observation b1981d5e-2acb-4856-9d2f-44addc033cc0 · outbound

This paper cites Single-view view synthesis with mul- tiplane images,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Single-view view synthesis with mul- tiplane images,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.318843Z

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Observation b54959a2-c078-4a4d-a59b-856d02b0be8b · outbound

This paper cites Single-view view synthesis in the wild with learned adaptive multiplane images,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Single-view view synthesis in the wild with learned adaptive multiplane images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.308421Z

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Observation 8bb32027-9c03-4fa6-84f2-cf9ac9b6ca27 · outbound

This paper cites Virtual KITTI 2.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Virtual KITTI 2

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:45.521762Z

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Observation 07965378-cfc1-4d2f-a217-bf89f1a82b0c · outbound

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

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.286991Z

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Observation 6eba3e63-3ccc-4d7c-9195-09dbc8f5057c · outbound

This paper cites Stereo ground truth with error bars,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Stereo ground truth with error bars,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.276655Z

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Observation cf208f81-34d8-4d3e-a322-44bc4034e5df · outbound

This paper cites Multi-scale binocular stereo matching based on semantic association,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Multi-scale binocular stereo matching based on semantic association,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.266835Z

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Observation 3e26e391-5596-421d-9717-f0417580a978 · outbound

This paper cites Liteflownet: A lightweight convolutional neural network for optical flow estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Liteflownet: A lightweight convolutional neural network for optical flow estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.257203Z

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Observation 9adf627c-6785-423f-8c56-6d31ad13793e · outbound

This paper cites Iterative residual refinement for joint optical flow and occlusion estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Iterative residual refinement for joint optical flow and occlusion estimation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.247165Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b360999-0652-4031-8080-71b30ad82e02 · outbound

This paper cites Learning optical flow with adaptive graph reasoning,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Learning optical flow with adaptive graph reasoning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.237157Z

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Observation 3c4718dd-4279-4320-8428-5745c7df1604 · outbound

This paper cites Transformer based pluralistic image completion with reduced information loss,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Transformer based pluralistic image completion with reduced information loss,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.226182Z

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Observation 64d28427-94a3-4442-a428-a7c7c07d92c9 · outbound

This paper cites Flowformer++: Masked cost volume autoencod- ing for pretraining optical flow estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Flowformer++: Masked cost volume autoencod- ing for pretraining optical flow estimation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.215882Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 936bed64-45b9-4762-a8a1-80afc56a2a81 · outbound

This paper cites SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:46.710167Z

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Observation 15fe043a-2471-43c8-9b48-f128e843b306 · outbound

This paper cites Physics-based noise mod- eling for extreme low-light photography,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Physics-based noise mod- eling for extreme low-light photography,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.205656Z

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Observation 0306ae51-9e5a-431a-920f-71a4f9516c3a · outbound

This paper cites Relation-guided adversarial learning for data- free knowledge transfer,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Relation-guided adversarial learning for data- free knowledge transfer,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.195212Z

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Observation 782a1eb3-6459-4a6a-8589-f3d3282753c5 · outbound

This paper cites Guided hyperspectral image denoising with realistic data,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Guided hyperspectral image denoising with realistic data,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.184349Z

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Observation 43780c11-2c92-4cae-a075-a313e8cd24b5 · outbound

This paper cites Low-light raw video denoising with a high-quality realistic motion dataset,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Low-light raw video denoising with a high-quality realistic motion dataset,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:47.139841Z

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Observation 92c54511-7e95-4f4d-8298-f1097bcba53c · outbound

This paper cites Eventhdr: From event to high-speed hdr videos and beyond,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Eventhdr: From event to high-speed hdr videos and beyond,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.167192Z

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Observation 42cf3658-6649-49f5-b768-fa3e4d5064cf · outbound

This paper cites A database and evaluation methodology for optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images A database and evaluation methodology for optical flow,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.157866Z

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Observation c6c3bc5e-8a59-4179-b744-e9839f8979ad · outbound

This paper cites Autoflow: Learning a better training set for optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Autoflow: Learning a better training set for optical flow,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.148009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5e3a5a5-aff8-4863-a091-fa4f3185a856 · outbound

This paper cites Mpi-flow: Learning realistic optical flow with multiplane images,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Mpi-flow: Learning realistic optical flow with multiplane images,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.137761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72f78ee1-99de-41f9-ba5b-d5747856284c · outbound

This paper cites Neural Volumes: Learning Dynamic Renderable Volumes from Images.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:47.803779Z

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Observation d1a2fd31-cfc0-4150-9805-99ec4e573356 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:47.978932Z

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Observation ddd86d4a-3bb7-49c7-90cd-0e7ef88e9092 · outbound

This paper cites Hsi-guided intrinsic image decomposition for outdoor scenes,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Hsi-guided intrinsic image decomposition for outdoor scenes,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.120932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f97421c0-d45c-4085-8268-ba3f208e22cd · outbound

This paper cites Geometry-free view syn- thesis: Transformers and no 3d priors,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Geometry-free view syn- thesis: Transformers and no 3d priors,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.111746Z

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Observation 33727bff-cc82-40ed-bb58-9e5a7d3c7eb2 · outbound

This paper cites Pixelsynth: Generating a 3d-consistent experience from a single image,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Pixelsynth: Generating a 3d-consistent experience from a single image,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.102189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f079012c-d5cf-4519-8802-5d66098e9ad2 · outbound

This paper cites Mine: Towards continuous depth mpi with nerf for novel view synthe- sis,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Mine: Towards continuous depth mpi with nerf for novel view synthe- sis,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.092135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 622178c1-25a9-416e-aea8-41ec620331b7 · outbound

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

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.082139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1e88481-2048-4d7f-a8f1-d5545d4592b4 · outbound

This paper cites Multiple view geometry,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Multiple view geometry,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.061914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 419e3ad1-f171-45c0-990b-4cc76ee52d2d · outbound

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

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images High-resolution image synthesis with latent diffusion models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.052692Z

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Observation e9ad5295-813c-4859-813d-0fbe7d03074c · outbound

This paper cites A naturalistic open source movie for optical flow evaluation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images A naturalistic open source movie for optical flow evaluation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.297396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ba530a6-19f7-459c-be5d-1d67735d97fd · outbound

This paper cites Bdd100k: A diverse driving dataset for hetero- geneous multitask learning,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Bdd100k: A diverse driving dataset for hetero- geneous multitask learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.042607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e623816d-a920-41be-847b-ffe9b232227a · outbound

This paper cites Microsoft coco: Common objects in context,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Microsoft coco: Common objects in context,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.032380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8743a2ca-820c-4354-b4a8-4539ac8029b0 · outbound

This paper cites Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.022481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a47ee091-eea3-46a9-b9b9-e232132da8da · outbound

This paper cites nuscenes: A mul- timodal dataset for autonomous driving,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images nuscenes: A mul- timodal dataset for autonomous driving,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.012806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42dd22a2-1bfa-4ddc-b6cc-3115f00b8832 · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Sun rgb-d: A rgb-d scene understanding benchmark suite,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.002526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7b9618d3-5647-423b-a12a-c6f64d2ef2ef · outbound

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

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Vision meets robotics: The kitti dataset,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.991648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf68993e-90ce-41a5-bc96-6d8440f6412b · outbound

This paper cites Indoor segmen- tation and support inference from rgbd images,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Indoor segmen- tation and support inference from rgbd images,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.981667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15fb85ce-5e1a-4045-b558-a61ae6f30185 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images The cityscapes dataset for semantic urban scene understanding,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.971446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 700ce5c0-b096-47f0-8f8a-206b8aada1bc · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images A benchmark dataset and evaluation methodology for video object segmentation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.960802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0820dc34-de6d-4998-9325-3268838c6dc7 · outbound

This paper cites Masked-attention mask transformer for universal image segmen- tation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Masked-attention mask transformer for universal image segmen- tation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:56.072000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5dcefa69-e7a2-4f3a-a9ed-ef8fe1725c05 · outbound

This paper cites Learning to estimate hidden motions with global motion aggregation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Learning to estimate hidden motions with global motion aggregation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.950209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd0c4256-18a6-4d88-9d56-b2397ee28a87 · outbound

This paper cites Skflow: Learning optical flow with super kernels,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Skflow: Learning optical flow with super kernels,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.938898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f387b999-bc6b-4db4-81f9-2ebbd0590726 · outbound

This paper cites Flowformer: A transformer architecture for optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Flowformer: A transformer architecture for optical flow,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.928588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a1c3565-4d88-4ad6-905f-88c378919651 · outbound

This paper cites Dip: Deep inverse patchmatch for high-resolution optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Dip: Deep inverse patchmatch for high-resolution optical flow,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.918740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d78afe54-6ddb-4dc3-af08-7eea26a681c9 · outbound

This paper cites Explicit motion disentangling for efficient optical flow estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Explicit motion disentangling for efficient optical flow estimation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.908195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93d6432d-790d-4743-81c7-923eeb0d38fc · outbound

This paper cites Craft: Cross-attentional flow transformer for robust optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Craft: Cross-attentional flow transformer for robust optical flow,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.898118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f3247eaf-ddbb-469c-81e9-5974be0dc649 · outbound

This paper cites Recurrent partial kernel network for efficient optical flow estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Recurrent partial kernel network for efficient optical flow estimation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.888763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 14a1dfe0-7b07-40fd-b1a7-ac52b633c07b · outbound

This paper cites Global matching with overlapping attention for optical flow estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Global matching with overlapping attention for optical flow estimation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.879069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e718602-5e92-48c2-bb5c-39c0ac2d6b87 · outbound

This paper cites Gmflow: Learning optical flow via global matching,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Gmflow: Learning optical flow via global matching,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.869031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80aa33e3-e402-4400-a858-582e2bbd1fd7 · outbound

This paper cites Unifying flow, stereo and depth estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Unifying flow, stereo and depth estimation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.859812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5cfb6ed7-3a4d-4412-a99d-10442bed06c0 · outbound

This paper cites Youtube-vos: Sequence-to-sequence video object segmentation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Youtube-vos: Sequence-to-sequence video object segmentation,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.849781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57a3ddf2-c4e5-4caf-923e-8b356fbcdbbb · outbound

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

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Tartanair: A dataset to push the limits of visual slam,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.838921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7916db84-4f05-4828-966d-fd93299553b7 · outbound

This paper cites Unflow: Unsupervised learning of optical flow with a bidirectional census loss,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Unflow: Unsupervised learning of optical flow with a bidirectional census loss,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.828190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a65bd20f-cfa7-4637-bb12-45be9d3a30c8 · outbound

This paper cites Ddflow: Learning optical flow with unlabeled data distillation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Ddflow: Learning optical flow with unlabeled data distillation,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.817482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c41cd526-c688-470e-8f07-f4455432f025 · outbound

This paper cites Selflow: Self-supervised learning of optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Selflow: Self-supervised learning of optical flow,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.805614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8de33d6-29e3-4f86-8a2a-b7cd9900dff1 · outbound

This paper cites Unsupervised learning of op- tical flow with deep feature similarity,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Unsupervised learning of op- tical flow with deep feature similarity,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.794404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9bc0203f-2cf6-44cb-8e5d-d134c2d06a07 · outbound

This paper cites What matters in unsupervised optical flow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images What matters in unsupervised optical flow,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.784720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 43438b09-0d84-4181-b304-6542a8be7408 · outbound

This paper cites Upflow: Upsampling pyramid for unsupervised optical flow learning,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Upflow: Upsampling pyramid for unsupervised optical flow learning,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.774589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7fe14b4-f1ee-4a19-996e-e59fae5e8446 · outbound

This paper cites Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.763129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d863d27-1304-4962-9c36-df1924585023 · outbound

This paper cites Semarflow: Injecting se- mantics into unsupervised optical flow estimation for autonomous driving,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Semarflow: Injecting se- mantics into unsupervised optical flow estimation for autonomous driving,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.752252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d73b4c22-cd0e-429f-9d14-4806871c5dab · outbound

This paper cites Semi-supervised learning of optical flow by flow supervisor,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Semi-supervised learning of optical flow by flow supervisor,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.741471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc1fffdb-3ef0-4f57-aa7e-1483af0adabb · outbound

This paper cites UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model

Reference 86

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:33:54.279064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccef2381-ce3c-47e7-ac70-5e3e5736d61d · outbound

This paper cites Self-supervised autoflow,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Self-supervised autoflow,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.730340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27d4ba9b-2916-40c4-8215-299f3d53917e · outbound

This paper cites Smurf: Self-teaching multi-frame unsupervised raft with full- image warping,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Smurf: Self-teaching multi-frame unsupervised raft with full- image warping,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.718729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cce5367-0b02-478c-9477-5c90b46b2abc · outbound

This paper cites Tap-vid: A benchmark for tracking any point in a video,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Tap-vid: A benchmark for tracking any point in a video,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.707503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19b664d8-f2f0-4bae-ab83-37d941a9a6a0 · outbound

This paper cites Propainter: Improving propagation and transformer for video inpainting,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Propainter: Improving propagation and transformer for video inpainting,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.681180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ca2286e-2d39-4646-9b27-358758b68c9c · outbound

This paper cites Tokencut: Segmenting objects in images and videos with self-supervised transformer and normalized cut,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Tokencut: Segmenting objects in images and videos with self-supervised transformer and normalized cut,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.525897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ca9e946-c566-432d-8ee9-7722cd8daad5 · outbound

This paper cites Treating motion as option to reduce motion dependency in unsupervised video object segmentation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Treating motion as option to reduce motion dependency in unsupervised video object segmentation,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.281230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20e78951-057f-4431-8bbf-da9586d445bb · outbound

This paper cites Dynamic view syn- thesis from dynamic monocular video,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Dynamic view syn- thesis from dynamic monocular video,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:55.024955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7593c6e6-04ec-49aa-bf75-52a0299e5d92 · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dynamic scenes,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Neural scene flow fields for space-time view synthesis of dynamic scenes,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:54.788835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c448eadf-921c-460f-a7a6-b2ba378f3ac0 · outbound

This paper cites FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:54.578993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2b6f601-c0ef-4ae3-bec2-971060bcad6c · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation,.

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:54.429284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Reference resolution

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Pith citing papers