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Paper Citation Record · LEDGER

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion

As of 10 August 2026, this Paper Citation Record lists 100 of 125 outbound references and 1 inbound Pith citation observation for arXiv:2501.18804.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.18804 v1

Coverage vector

measured 100 of 125 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:30:41.854233Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T10:45:18.830629Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T10:46:16.182778Z

Reference resolution

100 of 125 outbound references displayed

  • verified exact2
  • verified fuzzy34
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9581ccb1-74e9-455f-8039-aec64d495858 · outbound

This paper cites https://github.com/webdataset/ webdataset, 2024.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion https://github.com/webdataset/ webdataset, 2024

Reference 1

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source=pdf_text observed=2026-08-09T22:30:41.491843Z digest=sha256:4dd8883f5d06a42c73825437c7e81ee99b50bc2b4aed97ff8387264d042234a7

Observation dd995b57-16cf-4c72-a320-b570a83e5f16 · outbound

This paper cites STORM: Spatio-temporal reconstruction model for large-scale outdoor scenes.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion STORM: Spatio-temporal reconstruction model for large-scale outdoor scenes

Reference 2

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source=pdf_text observed=2026-08-09T22:30:41.495346Z digest=sha256:5ef8887b837fa971888c3e69bdd7ef96ea9b03c6a6f61b3a8506ea40a707eed5

Observation 3747ebbe-3d36-485a-bc91-27a96da49f88 · outbound

This paper cites Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P

Reference 3

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source=pdf_text observed=2026-08-09T22:30:41.499645Z digest=sha256:7b7735ebd8b9a75cae934859af1923af79b859457007cda1b4b03cb9e62ef5d2

Observation 4fba1c23-8202-480a-9410-50506c7a599b · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 4

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source=pdf_text observed=2026-08-09T22:30:41.504425Z digest=sha256:e8cca3ff3f6c997bb33f334644cd9ada4e7ebbfda59fd2ec799f67e02111c0a6

Observation fbee8ef7-0481-4270-9c7e-1545c57c97cb · outbound

This paper cites Zoedepth: Zero-shot trans- fer by combining relative and metric depth, 2023.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Zoedepth: Zero-shot trans- fer by combining relative and metric depth, 2023

Reference 5

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source=pdf_text observed=2026-08-09T22:30:41.508551Z digest=sha256:a0bb00ee02f0524aa2e789d825dc6b6d1ff6603db1a8b5912b82307edf403a3c

Observation 196ca915-5361-47df-b20e-f40f1fde7c56 · outbound

This paper cites Midas v3.1 – a model zoo for robust monocular relative depth estima- tion, 2023.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Midas v3.1 – a model zoo for robust monocular relative depth estima- tion, 2023

Reference 6

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source=pdf_text observed=2026-08-09T22:30:41.511788Z digest=sha256:7063bc16b7080d93ca8fc57e765b443e6741b0bfa7d57f107f855e32bf1b9df0

Observation 657b3c49-5f4d-453b-b793-22776a051ec3 · outbound

This paper cites Virtual KITTI 2.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Virtual KITTI 2

Reference 7

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source=pdf_text observed=2026-08-09T22:30:41.515314Z digest=sha256:89caa41b1fbb814535dfd9fbaf4a07bb33e653aeff3b21c3e44028a588a8bd2a

Observation dead24b1-e6a0-47c9-a75a-ec3cb9074bce · outbound

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

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion nuscenes: A mul- timodal dataset for autonomous driving

Reference 8

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source=pdf_text observed=2026-08-09T22:30:41.519187Z digest=sha256:80aa2c9645387cd6624f95b1c8d9d1042b47313a2bf5d540f430c0015a3e093d

Observation 867d327a-e4e6-4249-b4bb-5aa64d5fb3c2 · outbound

This paper cites EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction

Reference 9

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source=pdf_text observed=2026-08-09T22:30:41.522452Z digest=sha256:8d0f5bbfb32c946ae77ec6b11c044c2d4a45aac658d78db9c0a17370acb69036

Observation 31d32300-e1c0-4e1e-90ae-936438cf94f7 · outbound

This paper cites pi-gan: Periodic implicit genera- tive adversarial networks for 3d-aware image synthesis.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion pi-gan: Periodic implicit genera- tive adversarial networks for 3d-aware image synthesis

Reference 10

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source=pdf_text observed=2026-08-09T22:30:41.525835Z digest=sha256:4651e388c456588059d7bcf13725f772c69168573dd1edf8b1c9c277a64513ae

Observation 81d1c2d6-12e1-400c-9b0f-f5e73652b5b2 · outbound

This paper cites Chan, Connor Z.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Chan, Connor Z

Reference 11

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source=pdf_text observed=2026-08-09T22:30:41.529197Z digest=sha256:9273b3ed4b5f9ab6932ba920786d0664bf73800b2d9e8dbe66275de8611df0c3

Observation 1c8273ba-de28-4db3-a5d0-18a8e998edcd · outbound

This paper cites Chan, Koki Nagano, Matthew A.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Chan, Koki Nagano, Matthew A

Reference 12

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source=pdf_text observed=2026-08-09T22:30:41.532594Z digest=sha256:b069c32e4ebcece1aa6bc4a62f6147ee664df7c01afa9e1fb48281cdb46c1de3

Observation cc17270c-f4f6-416e-9213-e42d63193f8a · outbound

This paper cites an unresolved cited work.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-09T22:30:41.535807Z digest=sha256:db84dfb592b44190519a1c4718d21b0c32793159ba473d75ed87c58596a4bd12

Observation 798d809c-b468-4d54-8c18-f538b102693c · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 14

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source=pdf_text observed=2026-08-09T22:30:41.540111Z digest=sha256:e3114d8f05839df530b608bf84c175b16b099afbb06c471809ad98ec52c76e70

Observation cfa67c2a-5fe0-4d38-8c6d-2611095be5a0 · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 15

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source=pdf_text observed=2026-08-09T22:30:41.543700Z digest=sha256:5879073e498d0a2108cbeb604b8ef7e32b5545eac16930b660e3c48fffe08797

Observation 3e8117d0-5db8-470d-9843-d52314958dc5 · outbound

This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner

Reference 16

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source=pdf_text observed=2026-08-09T22:30:41.547467Z digest=sha256:fb8e8c26e66277d3225402f328c040e45289fe3b6fd8dc5f84c7339a1f723d90

Observation 67ee91e1-0d0a-446b-b0e5-0b634780098e · outbound

This paper cites Depth-supervised NeRF: Fewer Views and Faster Training for Free.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Depth-supervised NeRF: Fewer Views and Faster Training for Free

Reference 17

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source=pdf_text observed=2026-08-09T22:30:41.551182Z digest=sha256:efbeca5f8c08393d532f3ab3f09e63cf127746d44d54f887e26497ac2d89e997

Observation f7a1e857-4d55-41a8-be1e-20860df41a7e · outbound

This paper cites Uncon- strained scene generation with locally conditioned radiance fields.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Uncon- strained scene generation with locally conditioned radiance fields

Reference 18

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source=pdf_text observed=2026-08-09T22:30:41.554956Z digest=sha256:5ae030ba9093cad755b9d76cf9cf3641435b2bfc2458ec07ab6bef809e6e7b6f

Observation 18aca851-8d6b-4233-ab37-820a74837688 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Diffusion models beat gans on image synthesis

Reference 19

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source=pdf_text observed=2026-08-09T22:30:41.559103Z digest=sha256:89d7ffe01db3133200fb76ca82951d5eb3fc8552004dc9546ba49811178a7be3

Observation 35d7bf19-b248-4650-a3b2-0a18cb91f33a · outbound

This paper cites Learning to render novel views from wide-baseline stereo pairs.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Learning to render novel views from wide-baseline stereo pairs

Reference 20

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source=pdf_text observed=2026-08-09T22:30:41.562511Z digest=sha256:3990d46cdf3236b1822e536572a863daad5016305f58e60498bcda92ebdd7d4c

Observation 1427b4ac-c1b2-425f-85e7-0602400fd757 · outbound

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

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Omnidata: A scalable pipeline for making multi- task mid-level vision datasets from 3d scans

Reference 21

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source=pdf_text observed=2026-08-09T22:30:41.566948Z digest=sha256:998066386e97e8ca3531c8e850bb7dfbbd29f2a74eb3f1ab7ce1a2416bd4b37b

Observation 04b78d91-a00b-4da2-a19c-301b52f5d4fa · outbound

This paper cites Self-supervised camera self-calibration from video.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Self-supervised camera self-calibration from video

Reference 22

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source=pdf_text observed=2026-08-09T22:30:41.570095Z digest=sha256:5f7536dc96e3ee08a85bb02d9a4f8f4def75c1c2c55e6a3a9bae0adea83fb4d5

Observation 0e4bea80-14b0-4043-8eb4-e4701b14ca0d · outbound

This paper cites Ge- owizard: Unleashing the diffusion priors for 3d geometry estimation from a single image.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Ge- owizard: Unleashing the diffusion priors for 3d geometry estimation from a single image

Reference 23

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Observation 3e1d3b89-0266-4a75-b1df-f3194b84a5a9 · outbound

This paper cites Srini- vasan, Jonathan T.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Srini- vasan, Jonathan T

Reference 24

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source=pdf_text observed=2026-08-09T22:30:41.577206Z digest=sha256:dfd29cdf46694cace1674d3a8314400ad08defe18165286aab2bb1d018c7f9b1

Observation e730ad1c-02e1-426f-99a6-cfe690a3af82 · outbound

This paper cites an unresolved cited work.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-09T22:30:41.582036Z digest=sha256:b28205c3a5c4ba3333fcbca6b4a8bd2129e5b79c27a518261d30c40d4bd58052

Observation 80d5fe19-0a32-4e1f-978e-934b47750ec3 · outbound

This paper cites Accurate, large minibatch sgd: Training imagenet in 1 hour, 2018.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Accurate, large minibatch sgd: Training imagenet in 1 hour, 2018

Reference 26

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source=pdf_text observed=2026-08-09T22:30:41.585253Z digest=sha256:939edb6d226413991b748d20d3192176742ed1a6b10858003655d141b6934477

Observation 25c3da41-1203-46aa-a592-847500ac953b · outbound

This paper cites 16 Nerfdiff: Single-image view synthesis with nerf-guided dis- tillation from 3d-aware diffusion.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion 16 Nerfdiff: Single-image view synthesis with nerf-guided dis- tillation from 3d-aware diffusion

Reference 27

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source=pdf_text observed=2026-08-09T22:30:41.588676Z digest=sha256:a61a6ee464241c12f395b9643f6870be9ba395f61d01ac32f5adbb8fbf65ed21

Observation 56e00c32-3351-4d17-9ea8-6a25c0ecdfd6 · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Sparsenerf: Distilling depth ranking for few-shot novel view synthesis

Reference 28

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Observation 7444edc4-6f24-41fb-b0d0-2bda896cdfc6 · outbound

This paper cites Depthfm: Fast monocular depth estimation with flow matching, 2024.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Depthfm: Fast monocular depth estimation with flow matching, 2024

Reference 29

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source=pdf_text observed=2026-08-09T22:30:41.595692Z digest=sha256:bc594eb2aab27e3f4af13d523ea57fec72cf32e50121584dd2664480340e812f

Observation b78f95c2-61a4-46bc-9f53-17d0e7f461c1 · outbound

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

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion 3d packing for self-supervised monocular depth estimation

Reference 30

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source=pdf_text observed=2026-08-09T22:30:41.598663Z digest=sha256:c36a92f12366aeb81bb939d5a6ec5612f228f1974a9da2de918aeb7cdc726bd5

Observation 4fc98ec3-2da4-4373-a6a9-bb4eb779ba09 · outbound

This paper cites Semantically-guided representation learning for self-supervised monocular depth.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Semantically-guided representation learning for self-supervised monocular depth

Reference 31

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source=pdf_text observed=2026-08-09T22:30:41.602181Z digest=sha256:c346421776eef8ab5b2a215eabb6aed9a3654218aac57a7ac44a4c99b37a3357

Observation 70b67582-f515-4962-9516-427fedcd3d8b · outbound

This paper cites Geometric unsupervised domain adaptation for semantic segmentation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Geometric unsupervised domain adaptation for semantic segmentation

Reference 32

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source=pdf_text observed=2026-08-09T22:30:41.605642Z digest=sha256:2280a8730185a8472194dd074c60476e975d30c9b91003e181d8ad893eedd8f8

Observation c0816e8c-5650-48d4-9c91-0d7b2c529501 · outbound

This paper cites Full Surround Monodepth from Multiple Cameras.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Full Surround Monodepth from Multiple Cameras

Reference 33

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verified exact
local_arxiv, observed 2026-08-09T22:30:42.223165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.609338Z digest=sha256:56b4da301e6e531e317b42dc6424cda20d6a7288f855bb934c4bb235fbcafbe4

Observation f77d83d4-589d-42e9-94e9-71f2bd575561 · outbound

This paper cites Multi-frame self-supervised depth with transformers.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Multi-frame self-supervised depth with transformers

Reference 34

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source=pdf_text observed=2026-08-09T22:30:41.613369Z digest=sha256:5e3a69beaeb0a520df8152ebd79ab9ebf02d6afff03b60470596b66d3a3b22ae

Observation 1302ab7b-a6b9-4336-af1f-9692c3417a46 · outbound

This paper cites Learning optical flow, depth, and scene flow with- out real-world labels.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Learning optical flow, depth, and scene flow with- out real-world labels

Reference 35

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source=pdf_text observed=2026-08-09T22:30:41.617119Z digest=sha256:c3c3a946ef602226b1526af485ac98e94896d6740ca50d779c2c98ab076da692

Observation 26142837-1736-430f-b35b-f347595b0796 · outbound

This paper cites Depth field networks for generalizable multi-view scene representation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Depth field networks for generalizable multi-view scene representation

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.620940Z digest=sha256:eeb6e6b2b9b3fb8375d93cc65c3e299e451468f1b2037a9a72736549826717db

Observation 21e29fe1-9336-4c92-8f2d-2b9bcda28be0 · outbound

This paper cites Towards zero-shot scale-aware monoc- ular depth estimation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Towards zero-shot scale-aware monoc- ular depth estimation

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.624497Z digest=sha256:adb114772c00390833148056856ae2e456c35436f15305487614958b2f680997

Observation 748a4516-4013-4695-910d-c6ab46035ca5 · outbound

This paper cites Delira: Self-supervised depth, light, and radiance fields.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Delira: Self-supervised depth, light, and radiance fields

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.627788Z digest=sha256:25b707fe924458eeae9899b91e3ce784bb32f04a10c400e42245ef51061f8123

Observation bb2e2a45-f31b-4ef6-aaec-b1d7c5d24702 · outbound

This paper cites Grin: Zero-shot metric depth with pixel-level dif- fusion, 2024.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Grin: Zero-shot metric depth with pixel-level dif- fusion, 2024

Reference 39

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.631033Z digest=sha256:757b8083fafbc95099ee220ea3fa004bd0ba8f34e4626f38cdeac9626e4f3c69

Observation e6301d55-3f49-4399-9024-c9ce92ae8663 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Denoising dif- fusion probabilistic models

Reference 40

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no resolver link, observed 2026-08-09T22:30:41.634565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.634565Z digest=sha256:d3e07d9ae2e6936288485e8105da086076908f4af3db75dd1a1108da35d751f1

Observation c32612d0-b60d-41d8-a55a-f6820e01b46e · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Cascaded diffusion models for high fidelity image generation

Reference 41

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unresolved
no resolver link, observed 2026-08-09T22:30:41.638189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.638189Z digest=sha256:829c7248c4a802cc2920c1b673b956d4bbc722458b89220286b79569f39e8732

Observation a0b453b6-0311-4e7b-9828-d171b0e3c1f8 · outbound

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

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion One thousand and one hours: Self-driving motion prediction dataset

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.641597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.641597Z digest=sha256:3aeb0783d4d9666e455b2ccd08432d6d6632873c4276d54784379815c9ad8593

Observation 935b79d3-37b1-4c56-b086-84beb2c793c4 · outbound

This paper cites Mvd-fusion: Single-view 3d via depth-consistent multi-view generation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Mvd-fusion: Single-view 3d via depth-consistent multi-view generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.645356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.645356Z digest=sha256:e141edc0f421f3f9c8782e2b6b33aeb16e787aaaa27cbcab9c822f5c0779a902

Observation 0ac27569-e789-4a0e-864c-6a8a9555615a · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.649111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.649111Z digest=sha256:e5fd34b713c2117fdc73e79490e98d3eee9d4f2039566056eee3689c8521523b

Observation 7a3929cf-42f4-4668-829a-b3aad5c14d2d · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.652803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.652803Z digest=sha256:29ab280d633f21014054239c96a6c6ef371233c0973b085890775f3bfd1cdc30

Observation 75459c8d-12a7-4258-8721-189b5795124d · outbound

This paper cites DPSNet: End-to-end Deep Plane Sweep Stereo.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion DPSNet: End-to-end Deep Plane Sweep Stereo

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.657140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.657140Z digest=sha256:2f7d67a17c91edf45fac15501c2fdc33faa10c89c75081c0a832028e869d883a

Observation 226c4272-e513-4ae9-a937-c56daa2996b9 · outbound

This paper cites Neo 360: Neural fields for sparse view synthesis of outdoor scenes.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Neo 360: Neural fields for sparse view synthesis of outdoor scenes

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.661212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.661212Z digest=sha256:3a099ce8e1070d11acf0dbbf50162054ee52e193721df09d0b5b6d3b1d678199

Observation b1b2da4c-6b14-43a3-bf57-8f192eb2f2cf · outbound

This paper cites Nerf-mae: Masked autoencoders for self-supervised 3d rep- resentation learning for neural radiance fields.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Nerf-mae: Masked autoencoders for self-supervised 3d rep- resentation learning for neural radiance fields

Reference 48

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no resolver link, observed 2026-08-09T22:30:41.665695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.665695Z digest=sha256:e211bbf9401531fcba5498dfbf00b27704e06cc0ca2f9e1fcdeeadb447f2941c

Observation 2b681d68-7271-48a9-81cd-fedf33d751a6 · outbound

This paper cites Fleet, and Ting Chen.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Fleet, and Ting Chen

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.669678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.669678Z digest=sha256:a304d68a4f3c49987507a5156bb1a186bc232d7ee08be653ede904ce7825b823

Observation 425b5f94-3dfc-435c-8ba5-7946c23c71fa · outbound

This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Putting nerf on a diet: Semantically consistent few-shot view synthesis

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.673153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.673153Z digest=sha256:19e08d5db1a25bd619144814ec1aed49d29efbd40943ca62c150fe3acd7e68db

Observation 324b8939-e699-439e-a212-676416447eed · outbound

This paper cites Large scale multi-view stereopsis eval- uation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Large scale multi-view stereopsis eval- uation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.676958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.676958Z digest=sha256:3802e8034ab1e542ecd1bf77e6eaf6043c3f3b207f42cccf47ff9e2e9d10c714

Observation 87a750a3-7691-4fe6-8734-8add83d96ffa · outbound

This paper cites Holodiffusion: Training a 3D diffusion model using 2D images.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Holodiffusion: Training a 3D diffusion model using 2D images

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.680759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.680759Z digest=sha256:f9030667a13386f2e2a29f1361f20f022ec10601f6fdf603830e166c5ad9ecba

Observation b2c9948f-f033-45de-a806-a2bff2f0f021 · outbound

This paper cites Re- purposing diffusion-based image generators for monocular depth estimation, 2023.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Re- purposing diffusion-based image generators for monocular depth estimation, 2023

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.684127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.684127Z digest=sha256:a59d88bf2e10fd8c1c32646e07bc4e37657ab167de9655039b77fc07bcca9dcb

Observation ef148e5e-28a1-4607-bb1b-8ed8bee162f1 · outbound

This paper cites Deep Multi-view Depth Estimation with Predicted Uncertainty.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Deep Multi-view Depth Estimation with Predicted Uncertainty

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:30:42.106180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.687707Z digest=sha256:43abc5493d2a516865b5a564c120cb196f1cac06a56c39708e04de9cea1d3692

Observation 28163d8c-7416-44a3-87cf-18944964172c · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion 3d gaussian splatting for real-time radiance field rendering

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.142093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.691524Z digest=sha256:1d20182954669f3850d475df78a20e18061af10bc12cc1f5b7a3d23c62267f04

Observation 16c7541b-63c5-40d9-9af9-bc985ae399ec · outbound

This paper cites an unresolved cited work.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:30:43.132419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.695077Z digest=sha256:26d9f9c60d22e779b0eadcc1f6f26588f067f68da9c60acdb0b91deae0f98832

Observation d08e76fa-5edb-42cb-8bcf-24db42f435f9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Adam: A Method for Stochastic Optimization

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.698943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.698943Z digest=sha256:e1c4a3e27ef3750c6cf7d90da650f651025199d4b49bd4e9d924deafc5dc055a

Observation 763a012b-e2ba-4aa9-8c5c-c4210eca8c5c · outbound

This paper cites Nor- mal assisted stereo depth estimation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Nor- mal assisted stereo depth estimation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.123124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.702522Z digest=sha256:884db218bc0e429ba7a08d939c03c502766c29b9d5e6b96b2227b6cd35b2662d

Observation c59dafa1-66ee-4a3b-9bb0-d787cfba638e · outbound

This paper cites Infinite nature: Perpetual view generation of natural scenes from a single image.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Infinite nature: Perpetual view generation of natural scenes from a single image

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.114387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.707603Z digest=sha256:049bb3f1ecc5df14a0fbe021c81b8fc2c8f049b7de202ce7e749bff7f9f62db2

Observation 67365214-4d2c-4c1e-a027-7f9f1cd70527 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Zero-1-to-3: Zero-shot one image to 3d object

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.105913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.711102Z digest=sha256:88f563793a7f76db5b1b38ee1a6330f8edadc80d3d3e49b11f9949bab934ac1d

Observation 0abfdf86-0f8c-4378-8655-107678b9486c · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.714356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.714356Z digest=sha256:3745fd25b7ab06cdece6a325f660e7c74ae1a002eba08b2b9320cd94458f1f82

Observation 8bc31383-af06-4653-9e1a-a24f971c44c9 · outbound

This paper cites Decoupled weight decay regularization, 2019.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Decoupled weight decay regularization, 2019

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.718169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.718169Z digest=sha256:b0e055987f82a092695f41981b394e5c41cc3d3d02950d83286db22daceaef25

Observation 6ff23cd8-f931-4d91-b180-3de84937fda0 · outbound

This paper cites Consistent video depth estimation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Consistent video depth estimation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.091365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.721767Z digest=sha256:3614bc8c31a8c9326d03e6161f3902bc782eb0088ceec7314316604be8dbc79c

Observation 11dfb769-8f1c-4d06-a006-0af082d4f3ce · outbound

This paper cites Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.081518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.725384Z digest=sha256:ee91c5ffd328f5682ce85bdbcfa15cb354253271d7ea9d5f7397fb3f6f128d30

Observation ea01283e-9adc-4154-98e4-97c9fe6731c9 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view syn- thesis.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion NeRF: Representing scenes as neural radiance fields for view syn- thesis

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.071618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.728989Z digest=sha256:08dd23922596ba5585c85882c552317a99e0a8b9059f61ae4b2a5002b492efdb

Observation 989d0e2e-1a10-46a6-bbef-0884c9cbb520 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Instant neural graphics primitives with a multiresolution hash encoding

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.061640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.733303Z digest=sha256:797ce551fdccf73f80fb75947ca7d72d6144e7eb55a81cc0f244ad2880be8350

Observation b720ec6a-d0cc-43fa-a9a2-c2cb6e8b3bc1 · outbound

This paper cites Giraffe: Repre- senting scenes as compositional generative neural feature fields.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Giraffe: Repre- senting scenes as compositional generative neural feature fields

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.051197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.737172Z digest=sha256:05e707407cc37cf4086edddd6dc6f913ada796f744354851561dc7c3ced41652

Observation c48dcd2e-60e9-494f-a322-25177c880d0f · outbound

This paper cites Barron, Ben Mildenhall, Mehdi S.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Barron, Ben Mildenhall, Mehdi S

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.740755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.740755Z digest=sha256:1172456fbf6ab4590f4b0675ba1f3db19a1f81aa3de90c7a2719a93b16623213

Observation 9f9ba80a-0a07-4352-85fe-bc64958e70c7 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Scalable Diffusion Models with Transformers

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.744405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.744405Z digest=sha256:20c1f6979980ddc66870f3e60908b0fd5d667861176b325be82949a0321f0c86

Observation d55b69a4-5886-4bb0-9e13-944d7856a144 · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion UniDepth: Universal monocular metric depth estimation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.035260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.748793Z digest=sha256:9b49a0b94f70097cebb931e7268bc36606890031d1c8e3a7b2bf461c7beccfe6

Observation 8a19fe01-c239-4a52-9abd-8ab11317f86d · outbound

This paper cites Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embodied AI.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embodied AI

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.025507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.752600Z digest=sha256:c4ccb74a45f5e3ea0dc09f8186b088eec23a95785511c8c08a3a029edf974487

Observation be18c099-a0c6-4c60-b5e4-1b18243dabcc · outbound

This paper cites Zero-shot text-to-image generation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Zero-shot text-to-image generation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.016159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.755993Z digest=sha256:70b5f944cefa78037751ada65f05c23a328e88d600bcdd0d6f8a5fc1c975251b

Observation 0f83b3b9-eb38-4bbe-9e9d-690cac430a23 · outbound

This paper cites Towards robust monocu- lar depth estimation: Mixing datasets for zero-shot cross- dataset transfer.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Towards robust monocu- lar depth estimation: Mixing datasets for zero-shot cross- dataset transfer

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:43.006390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.759461Z digest=sha256:151761a57df4a5bdb7a69d0e3e13777cc0de5252486d1e06b3640404e4b7448b

Observation 6303f58a-d8c8-47bf-87c0-c4a2bb89371c · outbound

This paper cites Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.996327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.763238Z digest=sha256:6582f840531016f7a69e0be09fd159321337018df1e310e3de1a4cdf677e3bd1

Observation d781628d-9471-4db5-a6e0-f115cedc81b8 · outbound

This paper cites Susskind.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Susskind

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.986640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.767161Z digest=sha256:b9dbdd90bcf5ec567648b3ba19a06c3bf15e9e063129b469ddb73e1884328e9f

Observation 8e8be45a-ba9a-4fff-b78c-97892864f770 · outbound

This paper cites Barron, Ben Mildenhall, Pratul P.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Barron, Ben Mildenhall, Pratul P

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.976468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.771068Z digest=sha256:9fa72dc439a5d6c4b60f595053c59e524147c192dd0b4a0fe3271d18e75d4ad3

Observation aebb89de-9dc5-476c-9129-9bcfccb7f214 · outbound

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

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion High-resolution image synthesis with latent diffusion models

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.774851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.774851Z digest=sha256:e919807bf20182a4b14f6aaa27687483dcfd322c67cd192bc5e8ab3dea3cc41f

Observation 6f1ade3e-8b85-4cac-a2cc-afacc71b76c7 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion U- net: Convolutional networks for biomedical image segmen- tation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.961118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.778758Z digest=sha256:122ac96bb4e600524681fc662fdafddb7991de5c815136ab8712a334c60ea052

Observation b46babb6-0bcf-4b04-842f-70522fafc387 · outbound

This paper cites an unresolved cited work.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:30:42.950621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.782231Z digest=sha256:2892d9f5bff38d0fcd86b6fc97b60a8b632e690a88f826bbab2fb906fa86fad4

Observation 32c07f22-3a96-4247-a6de-5c9e51edec07 · outbound

This paper cites Ze- roNVS: Zero-shot 360-degree view synthesis from a single real image.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Ze- roNVS: Zero-shot 360-degree view synthesis from a single real image

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.940015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.785904Z digest=sha256:cbb1d6ee9e5a2bb36a9302958dd8f9e6f3ef5d63c5834c2898bbfb2712c53846

Observation bc4043b8-6702-4d86-9fed-7ae8e60e0938 · outbound

This paper cites an unresolved cited work.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:30:42.929413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.789432Z digest=sha256:47a485aa19c71e4279fe2fa6eed7856e618703e9a1916a2f2360eec50e6d541a

Observation 4bcb0189-aeff-40fa-9de2-c98e0a9145db · outbound

This paper cites Structure-from-motion revisited.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Structure-from-motion revisited

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.920846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.793278Z digest=sha256:0d622975042e17c433c81088322fea9135991964e1c083816440599a6b75be99

Observation 9e3a5ed0-5e7e-4e60-a438-2d32f6cdf2eb · outbound

This paper cites V oxgraf: Fast 3d-aware image syn- thesis with sparse voxel grids.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion V oxgraf: Fast 3d-aware image syn- thesis with sparse voxel grids

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.912932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.796913Z digest=sha256:7efe67c9bcc307b5b897a423d20dd8474c74a6827f47ae284e4b25d01545fc50

Observation 536eb1e0-3f74-44ce-9c5d-805ebd7d087d · outbound

This paper cites Learning tem- porally consistent video depth from video diffusion priors,.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Learning tem- porally consistent video depth from video diffusion priors,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.903828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.800165Z digest=sha256:c1b98fa9fc33ddabf468b5b59ecdf1a3b0e001dc76397f3d354507d20022dec1

Observation 47d51992-649f-4eff-81f6-be00acca997f · outbound

This paper cites Feature-metric loss for self-supervised learning of depth and egomotion.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Feature-metric loss for self-supervised learning of depth and egomotion

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.893559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.803387Z digest=sha256:97cf11c64a8072b7a8b1163df5a60f70528bc6e81b70060e04754f77c122e0df

Observation 7b3b36bb-7376-471a-afc0-01dcd93c95c8 · outbound

This paper cites Freeman, Joshua B.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Freeman, Joshua B

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.882972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.806767Z digest=sha256:f8101c20fa7ac92a20b9423e47f39c143db908a0dc265acbd609a1bdcdeb722c

Observation 55012344-7136-4a54-a924-e07dbda5705d · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Deep unsupervised learning using nonequilibrium thermodynamics

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.810084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.810084Z digest=sha256:639c39817a3d344e902a208c6e184dd03b4cb1b3e651445aa34124e446bceb52

Observation 68026687-13d8-4af7-ab33-c7bb6364b677 · outbound

This paper cites SimpleNeRF: Regularizing sparse input neural radiance fields with simpler solutions.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion SimpleNeRF: Regularizing sparse input neural radiance fields with simpler solutions

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.865904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.813443Z digest=sha256:a9b15a0d95573bc9177aa99127f99fb63655d490273db8bfa4c75bbf456b60af

Observation ce22e576-aaac-4d5c-9d64-4efd26d81a01 · outbound

This paper cites Denoising Diffusion Implicit Models.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Denoising Diffusion Implicit Models

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.816564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.816564Z digest=sha256:31ffdd51dc8dfcadd23a0029ad9b7d5471d01a2f52c74dce4a6b4f3f223b5e36

Observation b3cc8bd5-cb8f-4cb9-af2c-3fefb9487a1d · outbound

This paper cites Sturm, N.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Sturm, N

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.856578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.819787Z digest=sha256:75a37e70d38ef3ceee9e8478a09b3140ffa1ff246c857baad377227660239540

Observation 039780d7-1e45-417f-a0e2-fde817d99be6 · outbound

This paper cites Generalizable patch-based neural ren- dering.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Generalizable patch-based neural ren- dering

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.848299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.822825Z digest=sha256:53c17a58200ab8833d8ed2fb6630094538e1b09d442af0b23692dc5dca621cec

Observation 3550a4cc-1a73-4c22-92a1-6473f9e5033b · outbound

This paper cites NeuralRecon: Real-time coherent 3D re- construction from monocular video.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion NeuralRecon: Real-time coherent 3D re- construction from monocular video

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.839861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.825640Z digest=sha256:651af7c1e6c3d14e3d1b4a22aea3db08660f07e6d75c7119d4cacd3d581331ed

Observation 609757f1-52b3-4fd2-a041-14c0d010eff5 · outbound

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

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Scalability in perception for autonomous driving: Waymo open dataset

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.831172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.829524Z digest=sha256:308526ecda6eecb313b16fb270ad3cacf427088c6daeaaea780a61275a8f3ae2

Observation 45f6fba8-5705-445b-86cc-448610182131 · outbound

This paper cites BA-Net: Dense Bundle Adjustment Network.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion BA-Net: Dense Bundle Adjustment Network

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-09T22:30:41.833232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:30:41.833232Z digest=sha256:941e682f81deff21d7fae5aca753aa51e277c01a6c587da5c7dabc59cd97c5a9

Observation 0ade1fb4-6ed3-4dbc-843e-2ad561d0db66 · outbound

This paper cites Deepv2d: Video to depth with differentiable structure from motion.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Deepv2d: Video to depth with differentiable structure from motion

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.821315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.836716Z digest=sha256:1e0fe837f2ecc452c882d535830ec5e19089550d1fb8adf6eb2dafc546d6a880

Observation 0a99ed41-8a8f-4391-af63-17c2b76b1579 · outbound

This paper cites Tenenbaum, Fr ´edo Durand, William T.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Tenenbaum, Fr ´edo Durand, William T

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.811889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.840190Z digest=sha256:fdbb66e28d4ab94315a71072bbbfc3c7cd50b67da0082891a95e3e4353c40a91

Observation 0ed37ca7-8d43-49cb-a905-7fc069eed3c2 · outbound

This paper cites Rtmv: A ray-traced multi-view synthetic dataset for novel view synthesis.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Rtmv: A ray-traced multi-view synthetic dataset for novel view synthesis

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.800887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.843813Z digest=sha256:09f15f612b941e1971128fb2dcf3b0ca6f9f471466801b97c721bcfc27fd42e4

Observation c6635377-8050-4195-9621-7f1ffd7bbfb3 · outbound

This paper cites Grf: Learning a general radi- ance field for 3d representation and rendering.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Grf: Learning a general radi- ance field for 3d representation and rendering

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.789735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.847233Z digest=sha256:5a7d6cbe2d7a7e970d7943eea3d235d7528f42a5cdee9c16126e3e9077b12dbc

Observation 9dbf80fe-c2f6-4052-be8d-c50b74183576 · outbound

This paper cites Demon: Depth and motion network for learning monocular stereo.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Demon: Depth and motion network for learning monocular stereo

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.780576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.850743Z digest=sha256:3a50cdb5d24d7526d6e5fdad1ac9d0bd1c65f2f0c731ac63a452086095c872d5

Observation 7149612f-4905-4715-9cbb-dd2bd9853c09 · outbound

This paper cites Neural discrete representation learning.

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Neural discrete representation learning

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:30:42.771586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:30:41.854233Z digest=sha256:b6b541c1c830cace00849c934753e7c3fe4bf28edc91c1cc6f55c9f3265e063a

Pith citing papers

Observation dfec715d-cd37-4cd0-a9ff-93ddd733c5e6 · inbound

A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features cites this paper.

A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:46:16.186893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T10:45:18.830629Z digest=sha256:e4c79e52fe6f99fc3347610699f85810742181415fc020b69d0a4e1cc5f7733a