Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T19:52:32.527863Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 0 inbound Pith citation observations for arXiv:2511.22459.
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 2026-08-03T19:52:32.527863Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 116 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c56521eb-ea18-4892-bb71-564e282514e3 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Per-gaussian embedding- based deformation for deformable 3d gaussian splatting
Reference 1
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Observation 33a9f591-8923-485b-ae6b-3ea295587f20 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Narasimhan
Reference 2
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Observation 76e7ff6c-c19b-4fa5-ae4a-8d45ba37b59b · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Memfof: High-resolution training for memory-efficient multi-frame optical flow estimation
Reference 3
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Observation 6f6ef232-a98f-4124-8181-9b7cac87ed79 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames SURF: Speeded up robust features
Reference 4
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Observation 643a0a4b-bf0b-4e22-a93c-8efc040f8bde · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Black and Padmanabhan Anandan
Reference 5
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Observation 39aa1a43-ebe4-4993-a2db-bab03f527ec1 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Patchmatch stereo-stereo matching with slanted support windows
Reference 6
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Observation 448cc651-9fd1-41b5-8daa-e642b8ce23e0 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Depth pro: Sharp monocular metric depth in less than a second
Reference 7
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Observation 41e2b2a0-21dc-4bee-9de1-23b647fffa51 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Deepdeform: Learning non-rigid RGB- D reconstruction with semi-supervised data
Reference 8
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Observation 16b87ce1-41ac-4160-ab12-2c4e5df50b08 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Recovering non-rigid 3d shape from image streams
Reference 9
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Observation 3eb76d75-d033-469f-9057-5cf4e9eefc93 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames High accuracy optical flow estimation based on a theory for warping
Reference 10
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Observation b4d21ceb-4d90-4fe1-a966-5a171b27c5db · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Large displacement optical flow
Reference 11
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Observation c773eace-9e70-491c-b0f0-c7cd02201a2b · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Immersive light field video with a layered mesh representation.ACM TOG, 39(4), 2020
Reference 12
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Observation cb2bf804-ef9d-4771-8372-5b133bdfad0c · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Hexplane: A fast representa- tion for dynamic scenes
Reference 13
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Observation d94ae56c-1f7f-4f72-b7cc-2c08c90fb897 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Black, Otmar Hilliges, and Andreas Geiger
Reference 14
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Observation 64779653-329b-455a-8977-333e00808f85 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Physics informed neural fields for smoke reconstruction with sparse data.ACM TOG, 41(4):119:1–119:14, 2022
Reference 15
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Observation f35062eb-0065-45d6-b3a9-74d4688f6527 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames A simple prior- free method for non-rigid structure-from-motion factoriza- tion.IJCV, 107(2), 2014
Reference 16
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Observation 466f7788-b955-4d44-9bcf-dc027ccde9f7 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Superpoint: Self-supervised interest point detection and description
Reference 17
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Observation d5d50501-86cb-49ba-b176-9e2e6efaecf3 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Tap-vid: A benchmark for track- ing any point in a video
Reference 18
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Observation aa3f3488-db8d-42eb-b292-a6cd0db92be9 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Tapir: Tracking any point with per-frame initialization and temporal refinement
Reference 19
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Observation e50766de-e629-496b-b762-9443071fdd10 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Bootstap: Bootstrapped training for tracking-any-point
Reference 20
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Observation 95883475-dcd9-402d-8a3a-0621af86a487 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Degtyarev, Philip L
Reference 21
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Observation 4c18b1ae-24b3-4de5-af53-1b4b53a9d96e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Tenen- baum, and Jiajun Wu
Reference 22
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Observation 76de2c90-3b4e-440a-8aa2-478f033d8c5e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames 4d-rotor gaussian splat- ting: Towards efficient novel view synthesis for dynamic scenes
Reference 23
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Observation 8ae925fa-e89a-4422-af70-f14a844bb3d3 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames MASt3r-sfm: a fully-integrated solution for unconstrained structure-from-motion
Reference 24
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Observation fd325b58-8a7e-4f08-acff-c99904c650cf · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Black, Trevor Darrell, and Angjoo Kanazawa
Reference 25
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Observation 26871d07-e5a0-4cf9-bf57-1979addb4fb0 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames K- planes: Explicit radiance fields in space, time, and appear- ance
Reference 26
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Observation 6b08e24d-328a-4179-bc9d-e72e569d1781 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Dynamic view synthesis from dynamic monocu- lar video
Reference 27
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Observation 018af290-28f9-4691-85dd-6403b74f3630 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Fluid- nexus: 3d fluid reconstruction and prediction from a single video
Reference 28
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Observation 2ac869e3-39cb-4cd4-b512-06b27c4aab3f · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Fleet, Saurabh Sax- ena, and Andrea Tagliasacchi
Reference 29
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Observation f61dfa6d-d86a-4494-96d7-b4651bc68889 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Harley, Zhaoyuan Fang, and Katerina Fragki- adaki
Reference 30
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Observation 76386c68-5b48-4800-9bf7-c666f7200d8b · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Unresolved cited work
Reference 31
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Observation fcbbaa59-539d-4c36-a02b-0c158d2825b6 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames 2d gaussian splatting for geometrically ac- curate radiance fields
Reference 32
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Observation c818e93e-8666-4833-b5b8-4681d6a65f99 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes
Reference 33
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Observation d777cea8-e59a-4c07-8044-3319cbeede63 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Self-supervised monocular scene flow estimation
Reference 34
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Observation ef9790b2-f91e-42cd-b6b9-63aaac523c4e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Unresolved cited work
Reference 35
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Observation 0c038d80-0c26-419a-86c0-1dc2a0ab2bfa · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames V olumedeform: Real-time volumetric non-rigid reconstruction
Reference 36
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Observation f15bfdff-5956-4285-966a-b35cb8e86c0e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Humanrf: High-fidelity neural radiance fields for humans in motion.ACM TOG, 2023
Reference 37
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Observation cbb8677f-25d0-4023-a2ca-95992f192efd · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Learning to estimate hidden motions with global motion aggregation
Reference 38
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Observation aee5f145-06e4-41cf-bea1-fb9698c51448 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Learning optical flow from a few matches
Reference 39
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Observation b6c15e72-f83d-488b-ba89-8e80394681c6 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Co- tracker: It is better to track together
Reference 40
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Observation 85f01ed8-d56e-4d8c-b8e1-6b85c09cab38 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (SIGGRAPH), 42(4):1–14, 2023
Reference 41
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Observation 4816f556-7468-4f2f-be1f-fb910e6c9f92 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Michels, S¨oren Pirk, and Wojtek Palubicki
Reference 42
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Observation 65814942-fde4-4d5b-aac9-a94cbcd01f63 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Robust consistent video depth estimation
Reference 43
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Observation 5e20be0f-e16a-49f4-89a3-46fa5d55af7d · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Tapvid-3d: A benchmark for tracking any point in 3d
Reference 44
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Observation 2bc301ba-e2df-4339-b69e-55310c3ba40d · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames DynMF: Neural motion factorization for real-time dynamic view synthesis with 3d gaussian splatting
Reference 45
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Observation 0a122190-4a43-455c-9ec2-a002114168d3 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Monoc- ular dense 3d reconstruction of a complex dynamic scene from two perspective frames
Reference 46
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Observation 85961cf5-c576-4b16-a743-afbb1bbe6719 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Harley, Leonidas Guibas, and Kostas Daniilidis
Reference 47
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Observation cc62cf0b-1cf4-426c-a59f-c8589fb23d93 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Grounding image matching in 3d with mast3r, 2024
Reference 48
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Observation ed6d6f9b-5b43-405d-99e2-ed1ffcad7381 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Tava: Template-free animatable volumetric actors
Reference 49
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Observation d4f1050b-32b8-4b89-a9ad-6c3c34c9c606 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Neural 3d video synthesis from multi-view video
Reference 50
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Observation 3dc40f53-8b51-4b05-b6ce-b1b3244bd79d · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Unresolved cited work
Reference 51
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Observation 4a7e93d0-7a14-47b4-8ff8-e14f750b8f80 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Neural scene flow fields for space-time view syn- thesis of dynamic scenes
Reference 52
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Observation 3cb68045-f50b-41d3-960b-d3e0eaab99e2 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Dynibar: Neural dynamic image-based rendering
Reference 53
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Observation 617b2cfc-3db2-4eb0-88de-13bbf469fe34 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Spacetime gaussian feature splatting for real-time dynamic view syn- thesis
Reference 54
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Observation 03acbc7f-5367-4c74-a17f-8f7433252486 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames SIFT flow: Dense correspondence across scenes and its applications
Reference 55
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Observation a17aeb36-1af1-44c7-8ca8-4f9d2022ec77 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Modgs: Dy- namic gaussian splatting from casually-captured monocular videos
Reference 56
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Observation c99195f5-b1af-4655-849a-517aaba38434 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Unresolved cited work
Reference 57
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Observation 5f815cf2-8777-42e9-9d77-8cfa5670a194 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Align3r: Aligned monocular depth estimation for dynamic videos
Reference 58
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Observation c18868a5-a54e-4e94-85a8-71cc893eee73 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Lucas and Takeo Kanade
Reference 59
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Observation 9e07c8fa-5104-40d6-a013-4c59580ac488 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis
Reference 60
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Observation 5b77816b-a9d1-4c0c-b02e-b3ab37a5c6e1 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Consistent video depth estimation
Reference 61
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Observation 7643bda5-8c68-4b55-bbad-94ac8d977e64 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Srinivasan, Matthew Tancik, Jonathan T
Reference 62
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Observation 169d934c-5d47-40ea-9b8d-9403a0b9ffb6 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames MFT: Long- term tracking of every pixel
Reference 63
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Observation fd2a8de3-d1e1-4cf0-8ee2-403704176877 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Newcombe, Dieter Fox, and Steven M
Reference 64
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Observation 3dc83b04-346a-4a64-aed1-a033a74178df · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Delta: Dense efficient long-range 3d tracking for any video
Reference 65
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Observation a9dcec49-23af-4706-97d4-c37b2f46c72e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames C3DPO: Canonical 3d pose networks for non-rigid structure from motion
Reference 66
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Observation 60f9a63d-378a-4a6f-8196-7448569e33ba · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Barron, Sofien Bouaziz, Dan B
Reference 67
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Observation 8eca4f64-3f4c-4adf-a075-1dcc280b57ee · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Barron, Sofien Bouaziz, Dan B
Reference 68
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Observation 77618c50-c7e5-4cd5-90cb-0ca37a1caaa3 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames D-nerf: Neural radiance fields for dynamic scenes
Reference 69
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Observation 762ad0ff-35c0-412f-b4ff-8b243516ca4e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Dense monocular depth estimation in complex dy- namic scenes
Reference 70
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Observation a8c8ede0-e665-4f84-90a3-d3d1d8254546 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Sudderth, and Jan Kautz
Reference 71
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Observation 34aac2f3-426c-4be8-a655-86d8ef135779 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Unresolved cited work
Reference 72
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Observation 40f32cbc-9a67-485f-b914-229fe50bffec · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Video pop-up: Monocular 3d reconstruction of dynamic scenes
Reference 73
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Observation ed0c734b-a210-4602-b0c5-015a9289cee7 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames R3d3: Dense 3d reconstruction of dynamic scenes from multiple cameras
Reference 74
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Observation 2160f69f-3a27-4eab-aa10-066dcb4c5a90 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Structure-from-motion revisited
Reference 75
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Observation 723f7c1b-7d74-440c-8a29-23022fdbc991 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames A vote-and-verify strategy for fast spatial verification in image retrieval
Reference 76
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Observation f8b7ada4-d9ab-483c-8ed4-25724cb8bfc7 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Pixelwise view selection for unstructured multi-view stereo
Reference 77
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Observation ff0f1f3e-2f24-4e52-805f-57c93946d268 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Videoflow: Exploiting temporal cues for multi-frame optical flow estimation
Reference 78
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Observation 9950eecb-ea2c-4350-b8e0-d72ba6a80ec9 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Nerf- player: A streamable dynamic scene representation with decomposed neural radiance fields.IEEE TVCG, 29(5),
Reference 79
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Observation c3759dcd-8098-4ae4-8fce-bb475c0e1008 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Track everything everywhere fast and robustly
Reference 80
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Observation 970dab12-5ab5-4983-a836-508b09ed08ba · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Marigold-dc: Zero-shot monocular depth com- pletion with guided diffusion
Reference 81
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Observation 3958ff03-9fee-49c6-90b6-babbe2384c0e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Neural Trajectory Fields for Dynamic Novel View Synthesis
Reference 82
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Observation 1af9c22e-5b73-41e9-ba9c-4526192a0ac2 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting
Reference 83
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Observation d33984ef-7231-4af6-a5a0-1e25acf96b68 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Fourier plenoctrees for dynamic radiance field rendering in real-time
Reference 84
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Observation 5e514ed6-8eb5-4961-9e9d-8114a2a960c0 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Tracking everything everywhere all at once
Reference 85
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Observation fb02c4f9-4282-4005-ac68-c5cf838e8d6f · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Efros, and Angjoo Kanazawa
Reference 86
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Observation f12c2a70-703a-476b-aa12-f642125304a4 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Dust3r: Geometric 3d vision made easy
Reference 87
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Observation 90e7eedc-5275-4dc6-bb5f-a341cac59035 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Freetimegs: Free gaussian primitives at any- time anywhere for dynamic scene reconstruction
Reference 88
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Observation 43f6411c-c7a6-4d7c-87b8-2440d4f9f7b0 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Srinivasan, Jonathan T
Reference 89
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Observation e6cc8d56-b4ee-439e-a777-d3600c5f085e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Wagner, Sarker Miraz Mahfuz, Wo- jtek Pałubicki, Dominik L
Reference 90
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Observation 391ed43a-d70b-4798-9fc0-737609f2f0ac · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames 4d gaussian splatting for real-time dynamic 11 scene rendering
Reference 91
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Observation 37014fd7-fda2-4ae7-9b42-59844081f583 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames 4d gaussian splatting for real-time dynamic scene rendering
Reference 92
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Observation 895e1513-1c97-4960-b190-5bc528798eb4 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames 3dgut: Enabling dis- torted cameras and secondary rays in gaussian splatting
Reference 93
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Observation 10eb2739-803d-4c1f-86a7-f33b71a6df40 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Space-time neural irradiance fields for free-viewpoint video
Reference 94
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Observation 51949e89-dadb-438c-a440-926d58858de8 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Spatialtracker: Tracking any 2d pixels in 3d space
Reference 95
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Observation d250f0ad-b791-4d88-ae98-8bbf51dca4a1 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Spatialtrackerv2: 3d point tracking made easy
Reference 96
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Observation f8e818fb-4447-4504-be69-ca62aeb93f91 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames 4dgt: Learning a 4d gaus- sian transformer using real-world monocular videos
Reference 97
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Observation c8478cfe-b9e7-4558-be9b-72f5f3d87e02 · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Freeman, and Ce Liu
Reference 98
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Observation 887293fb-8a35-42e3-b4f5-075d62bba55c · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Viser: Video-specific surface embeddings for articulated 3d shape reconstruction
Reference 99
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Observation fb1e94da-5c70-4310-929e-7f869220de0e · outbound
Gaussians on Fire: High-Frequency Reconstruction of Flames Banmo: Build- ing animatable 3d neural models from many casual videos
Reference 100
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