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Paper Citation Record · LEDGER

Neural Field Representations of Mobile Computational Photography

As of 15 August 2026, this Paper Citation Record lists 100 of 226 outbound references and 0 inbound Pith citation observations for arXiv:2508.05907.

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

pith.paper-citation-record.v1
2508.05907 v1

Coverage vector

measured 100 of 226 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

100 of 226 outbound references displayed

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Outbound references

Observation ac97aba0-77ea-4a61-8fd1-4fcb042e2f07 · outbound

This paper cites Defocus deblurring using dual-pixel data.

Neural Field Representations of Mobile Computational Photography Defocus deblurring using dual-pixel data

Reference 1

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Observation 2217e8b8-0b2e-4f10-ac18-467a9c48302d · outbound

This paper cites De-fencing and multi-focus fusion using markov random field and image inpainting.IEEE Access, 10:35992–36005, 2022.

Neural Field Representations of Mobile Computational Photography De-fencing and multi-focus fusion using markov random field and image inpainting.IEEE Access, 10:35992–36005, 2022

Reference 2

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Observation 50a29d4d-df52-4d0a-a6e4-1943d60d4312 · outbound

This paper cites Pyramid methods in image processing.RCA engineer, 29(6):33– 41, 1984.

Neural Field Representations of Mobile Computational Photography Pyramid methods in image processing.RCA engineer, 29(6):33– 41, 1984

Reference 3

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Observation eef9439f-cb17-4caa-afdd-b65eddf5d8d7 · outbound

This paper cites Interactive digital photomontage.

Neural Field Representations of Mobile Computational Photography Interactive digital photomontage

Reference 4

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Observation 72dd74fd-e47c-4bae-9597-c769ff59c316 · outbound

This paper cites Panoramic video tex- tures.

Neural Field Representations of Mobile Computational Photography Panoramic video tex- tures

Reference 5

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Observation 07544c2d-8986-42f8-a3ce-999ec8cf9848 · outbound

This paper cites Nonrigid structure from motion in trajectory space.Advances in neural information processing systems, 21, 2008.

Neural Field Representations of Mobile Computational Photography Nonrigid structure from motion in trajectory space.Advances in neural information processing systems, 21, 2008

Reference 6

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Observation 4f78574e-0245-4826-bea1-ecfe35ac7f6b · outbound

This paper cites Video from stills: Lensless imaging with rolling shutter.

Neural Field Representations of Mobile Computational Photography Video from stills: Lensless imaging with rolling shutter

Reference 7

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Observation b9d4c912-352f-49f0-9292-d1c44b8448b9 · outbound

This paper cites Learning neural light fields with ray-space embedding.

Neural Field Representations of Mobile Computational Photography Learning neural light fields with ray-space embedding

Reference 8

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Observation 2334d700-795a-42c6-acd5-0c2c041e49c8 · outbound

This paper cites Matryodshka: Real-time 6dof video view synthesis using multi-sphere images.

Neural Field Representations of Mobile Computational Photography Matryodshka: Real-time 6dof video view synthesis using multi-sphere images

Reference 9

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Observation 79bb982f-bb85-411d-a8eb-6cb59028129c · outbound

This paper cites Explorable super resolution.

Neural Field Representations of Mobile Computational Photography Explorable super resolution

Reference 10

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Observation 610bff51-a522-4281-b87c-518ff5d6babe · outbound

This paper cites Depth-aware video frame interpolation.

Neural Field Representations of Mobile Computational Photography Depth-aware video frame interpolation

Reference 11

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Observation b86395af-e372-4576-968a-8030f7f7147c · outbound

This paper cites Shape, illumination, and reflectance from shading.IEEE transactions on pattern analysis and machine intelligence, 37(8):1670–1687, 2014.

Neural Field Representations of Mobile Computational Photography Shape, illumination, and reflectance from shading.IEEE transactions on pattern analysis and machine intelligence, 37(8):1670–1687, 2014

Reference 12

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Observation 6400fb93-0bce-4f57-bad1-21ec34705473 · outbound

This paper cites Mip-nerf: A multiscale representa- tion for anti-aliasing neural radiance fields.

Neural Field Representations of Mobile Computational Photography Mip-nerf: A multiscale representa- tion for anti-aliasing neural radiance fields

Reference 13

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Observation 477fc309-bf90-4f57-a73c-8dfac67dce58 · outbound

This paper cites Zip-nerf: Anti-aliased grid-based neural radiance fields.

Neural Field Representations of Mobile Computational Photography Zip-nerf: Anti-aliased grid-based neural radiance fields

Reference 14

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Observation 653b6a56-7a59-4283-a874-792c370622d3 · outbound

This paper cites Color imaging array.United States Patent 3,971,065, 1976.

Neural Field Representations of Mobile Computational Photography Color imaging array.United States Patent 3,971,065, 1976

Reference 15

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Observation 597a9e5b-7351-47dd-8bb2-5d9b8b8d7980 · outbound

This paper cites Om- niphotos: casual 360 vr photography.ACM Transactions on Graphics (TOG), 39(6):1–12, 2020.

Neural Field Representations of Mobile Computational Photography Om- niphotos: casual 360 vr photography.ACM Transactions on Graphics (TOG), 39(6):1–12, 2020

Reference 16

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Observation 45174253-5598-478b-a222-4854513c8a09 · outbound

This paper cites CRC press, 2021.

Neural Field Representations of Mobile Computational Photography CRC press, 2021

Reference 17

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Observation 2c840fb1-8d5c-43a1-bddb-b454da589fe8 · outbound

This paper cites Deep burst super-resolution.

Neural Field Representations of Mobile Computational Photography Deep burst super-resolution

Reference 18

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Observation 077cdfc7-ff84-42bf-8065-908c1b291a7e · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

Neural Field Representations of Mobile Computational Photography Adabins: Depth estimation using adaptive bins

Reference 19

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Observation 747b34cc-8894-4c02-85fd-1c00c007dd72 · outbound

This paper cites Color constancy using cnns.

Neural Field Representations of Mobile Computational Photography Color constancy using cnns

Reference 20

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Observation 261e891a-30c9-43fa-ad69-e46534130ab1 · outbound

This paper cites Smartphone imaging technology and its applications.Advanced Optical Technologies, 10(3):145–232, 2021.

Neural Field Representations of Mobile Computational Photography Smartphone imaging technology and its applications.Advanced Optical Technologies, 10(3):145–232, 2021

Reference 21

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Observation ebd6ebc8-4c01-4282-95e5-6d4ce2d93797 · outbound

This paper cites High-precision wafer- level optics fabrication and integration.Photonics Spectra, 2011.

Neural Field Representations of Mobile Computational Photography High-precision wafer- level optics fabrication and integration.Photonics Spectra, 2011

Reference 22

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Observation a7394eb4-6dff-4e79-89c8-a0f968e39f24 · outbound

This paper cites John Wiley & Sons, 2006.

Neural Field Representations of Mobile Computational Photography John Wiley & Sons, 2006

Reference 23

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Observation cb735929-f357-4faf-8197-e4c3163c7bd4 · outbound

This paper cites an unresolved cited work.

Neural Field Representations of Mobile Computational Photography Unresolved cited work

Reference 24

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Observation 412d3292-a729-4967-a405-c3202f0d5c57 · outbound

This paper cites Brainard and Anya C.

Neural Field Representations of Mobile Computational Photography Brainard and Anya C

Reference 25

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Observation 569406e5-1d22-4462-8da0-90d1613d5aa2 · outbound

This paper cites Unprocessing images for learned raw denoising.

Neural Field Representations of Mobile Computational Photography Unprocessing images for learned raw denoising

Reference 26

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Observation 662a6c2b-d692-496a-95ef-53df1f7d00dd · outbound

This paper cites Automatic panoramic image stitching using invariant features.International journal of computer vision, 74:59–73, 2007.

Neural Field Representations of Mobile Computational Photography Automatic panoramic image stitching using invariant features.International journal of computer vision, 74:59–73, 2007

Reference 27

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Observation 5aad2c6e-0ba1-44c6-a2e0-bf62406fabe9 · outbound

This paper cites Photo statistics: How many photos are taken every day?, 2024.

Neural Field Representations of Mobile Computational Photography Photo statistics: How many photos are taken every day?, 2024

Reference 28

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Observation e2babc79-3618-4e94-96df-55ffcd430590 · outbound

This paper cites A spatial processor model for object colour perception.

Neural Field Representations of Mobile Computational Photography A spatial processor model for object colour perception

Reference 29

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Observation 46e6fb67-0873-4566-ae21-f370cf8f0f9c · outbound

This paper cites Unstructured lumigraph rendering.

Neural Field Representations of Mobile Computational Photography Unstructured lumigraph rendering

Reference 30

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Observation 3468285b-d0f4-43c6-8cfd-3b22ae1700bb · outbound

This paper cites A multiresolution spline with application to image mosaics.ACM Transactions on Graphics (TOG), 2(4):217–236, 1983.

Neural Field Representations of Mobile Computational Photography A multiresolution spline with application to image mosaics.ACM Transactions on Graphics (TOG), 2(4):217–236, 1983

Reference 31

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Observation 54de57f6-5f27-4050-a6f7-197b1a02b458 · outbound

This paper cites Low-cost spad sensing for non-line-of-sight tracking, material classification and depth imaging.

Neural Field Representations of Mobile Computational Photography Low-cost spad sensing for non-line-of-sight tracking, material classification and depth imaging

Reference 32

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Observation e71eaf49-0d3b-41d1-afa9-98fcd1ee64d5 · outbound

This paper cites Plenop- tic sampling.

Neural Field Representations of Mobile Computational Photography Plenop- tic sampling

Reference 33

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Observation 1a4f893f-8fb8-44c2-ae1a-aee0da23fba8 · outbound

This paper cites Pyramid stereo matching network.

Neural Field Representations of Mobile Computational Photography Pyramid stereo matching network

Reference 34

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Observation 186d433a-ddee-44c2-95f4-d0dc075cdc51 · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo.

Neural Field Representations of Mobile Computational Photography Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

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Observation 099d6a0b-5e67-4793-aba9-87ddf1c11baf · outbound

This paper cites A simple model for intrinsic image decom- position with depth cues.

Neural Field Representations of Mobile Computational Photography A simple model for intrinsic image decom- position with depth cues

Reference 36

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Observation edc057f0-51bb-4ecf-849f-438f3df1b587 · outbound

This paper cites View interpolation for image syn- thesis.

Neural Field Representations of Mobile Computational Photography View interpolation for image syn- thesis

Reference 37

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Observation 6eb7719c-c75e-48af-9a96-82f90e1bdf5a · outbound

This paper cites The inverse problems you carry in your pocket.XRDS: Cross- roads, The ACM Magazine for Students, 31(2):44–49, 2025.

Neural Field Representations of Mobile Computational Photography The inverse problems you carry in your pocket.XRDS: Cross- roads, The ACM Magazine for Students, 31(2):44–49, 2025

Reference 38

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Observation 3e837d1e-69de-4292-8bcd-59be7ab9ab77 · outbound

This paper cites Neural light spheres for implicit image stitching and view synthesis.

Neural Field Representations of Mobile Computational Photography Neural light spheres for implicit image stitching and view synthesis

Reference 39

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source=pdf_text observed=2026-08-05T23:10:32.100199Z digest=sha256:f89d17d601fa9da8f415a6842bd794eb160d05942e959e1c6ed09f413dd339c8

Observation a816b98a-783b-40c3-af69-c8a517afb76c · outbound

This paper cites Neural spline fields for burst image fusion and layer separation.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.

Neural Field Representations of Mobile Computational Photography Neural spline fields for burst image fusion and layer separation.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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source=pdf_text observed=2026-08-05T23:10:32.235513Z digest=sha256:4750a9d64db7fa6025bad8d069e0364909e0e753cae97e261cd5c1ff6f74d035

Observation fe1beae7-e699-4815-96f9-0d81cb8fe67f · outbound

This paper cites Shakes on a plane: Unsuper- vised depth estimation from unstabilized photography.

Neural Field Representations of Mobile Computational Photography Shakes on a plane: Unsuper- vised depth estimation from unstabilized photography

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source=pdf_text observed=2026-08-05T23:10:32.405272Z digest=sha256:dd5806c4f95f82fb6bd3e1f69b83b10df7c41c738baeec9e3348a23071e4cfeb

Observation 12ac8b5f-dda5-4171-9706-c24a3151fd37 · outbound

This paper cites The implicit values of a good hand shake: Handheld multi-frame neural depth refinement.

Neural Field Representations of Mobile Computational Photography The implicit values of a good hand shake: Handheld multi-frame neural depth refinement

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source=pdf_text observed=2026-08-05T23:10:32.615242Z digest=sha256:094233b19695a6890d106baad5c230078f360806f06131de54f08802d87a17cd

Observation abea6704-f8a5-420b-b3a3-94d32eb13d72 · outbound

This paper cites Mednerf: Medical neural radi- ance fields for reconstructing 3d-aware ct-projections from a single x-ray.

Neural Field Representations of Mobile Computational Photography Mednerf: Medical neural radi- ance fields for reconstructing 3d-aware ct-projections from a single x-ray

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source=pdf_text observed=2026-08-05T23:10:32.756599Z digest=sha256:c3ffacce28527b9ad17bedecb19bbe23b50a02571d7c3f16f8bbfdf207ad1835

Observation 8fdeb325-bf80-41f9-a325-40fd7817f375 · outbound

This paper cites Mobile Computational Photography: A Tour.

Neural Field Representations of Mobile Computational Photography Mobile Computational Photography: A Tour

Reference 44

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local_arxiv, observed 2026-08-05T23:10:38.834371Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:10:32.932151Z digest=sha256:0bf4a0fe7c7684b5131c1b0d785d121e342f0d9811165fab9682e7580bf0e4a3

Observation 90b1bd74-f736-48a6-93d4-48bda31b89e8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Neural Field Representations of Mobile Computational Photography Imagenet: A large-scale hierarchical image database

Reference 45

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source=pdf_text observed=2026-08-05T23:10:33.056639Z digest=sha256:dab9eb63f2c2ab439a1b12b563baee727f340acc3917871a211eb134b58a6ce3

Observation e9aea330-0dd0-4450-9aeb-3c585d63bc99 · outbound

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

Neural Field Representations of Mobile Computational Photography Depthlab: Real-time 3d interaction with depth maps for mobile augmented reality

Reference 46

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source=pdf_text observed=2026-08-05T23:10:33.214307Z digest=sha256:784ed1e1962189049c77a1fee5f790e211a48293fd318eb7d2b39723af32093e

Observation 96483c2a-76b1-4335-8a3a-060ed5c72692 · outbound

This paper cites an unresolved cited work.

Neural Field Representations of Mobile Computational Photography Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-05T23:10:33.361685Z digest=sha256:f7237d92f2c4ab6827b00ae493e5f2fd25bdddff4b04dafe6fd8b0e9d9ead56b

Observation d485f9d0-5284-4f33-aca7-1d882873bc0d · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network.

Neural Field Representations of Mobile Computational Photography Depth map prediction from a single image using a multi-scale deep network

Reference 48

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source=pdf_text observed=2026-08-05T23:10:33.484834Z digest=sha256:bf8819cf9a89d5b020fa649e59aa1fd75351d9483e7f033fa340c2d50e7f81e1

Observation 95b8f75f-293e-4381-bb0a-c318b8a5e3ee · outbound

This paper cites ¨Uber einen die erzeugung und verwandlung des lichtes betref- fenden heuristischen gesichtspunkt.Annalen der Physik, 17:132–148, 1905.

Neural Field Representations of Mobile Computational Photography ¨Uber einen die erzeugung und verwandlung des lichtes betref- fenden heuristischen gesichtspunkt.Annalen der Physik, 17:132–148, 1905

Reference 49

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source=pdf_text observed=2026-08-05T23:10:33.628538Z digest=sha256:a78c59bbd859deadcd4917ae0370cf77c68983360b2cac58805d9d2aa5fa0b6a

Observation 258ba56e-be0d-4e8c-87cb-e8f82b49a3fd · outbound

This paper cites Hyperdepth: Learning depth from structured light without matching.

Neural Field Representations of Mobile Computational Photography Hyperdepth: Learning depth from structured light without matching

Reference 50

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source=pdf_text observed=2026-08-05T23:10:33.781558Z digest=sha256:1d853ffe76312fc2e680c162118a144fbf522247b7e3149fed6d519ac1d099ed

Observation 9d9ecdc5-f845-4552-a7bb-715730056308 · outbound

This paper cites Image de- fencing framework with hybrid inpainting algorithm.Signal, Image and Video Processing, 10:1193–1201, 2016.

Neural Field Representations of Mobile Computational Photography Image de- fencing framework with hybrid inpainting algorithm.Signal, Image and Video Processing, 10:1193–1201, 2016

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source=pdf_text observed=2026-08-05T23:10:33.874492Z digest=sha256:08dfa9c3c81ab7628822500da3f74af452247d084fdcca021600ab56774a3ebe

Observation e8aae60e-5145-480d-9968-0a1a98d491ff · outbound

This paper cites Morgan Kaufmann, 2002.

Neural Field Representations of Mobile Computational Photography Morgan Kaufmann, 2002

Reference 52

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source=pdf_text observed=2026-08-05T23:10:33.960674Z digest=sha256:a0ff02904bdd24748558528c5359baed036b24bf82133497eb6dee2313ac0715

Observation bc45943b-9cc4-4fec-881c-8f3cee616c9f · outbound

This paper cites Deepstereo: Learning to predict new views from the world’s imagery.

Neural Field Representations of Mobile Computational Photography Deepstereo: Learning to predict new views from the world’s imagery

Reference 53

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source=pdf_text observed=2026-08-05T23:10:34.025011Z digest=sha256:24edb4f934ce80192fd70c08a3630293848d55b8f1bce706f37432a886c203b8

Observation 03b5f8b2-84ac-45da-bdbb-7a2c44a77e8d · outbound

This paper cites M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments.

Neural Field Representations of Mobile Computational Photography M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments

Reference 54

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source=pdf_text observed=2026-08-05T23:10:34.104403Z digest=sha256:7b756cfc7525f593bc08da9eb8d20248aa72d0159aa08eea98f670737cb64a4b

Observation 647dc379-0e5d-400e-b072-87dccfa3de4c · outbound

This paper cites an unresolved cited work.

Neural Field Representations of Mobile Computational Photography Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-05T23:10:34.192350Z digest=sha256:f4699162280bb220f7a9f10221f71c0f2a87fce1c5aa80f9a88d5161a5602c5a

Observation d2b2bfb4-00fd-4366-9c93-b4b0eb8f1b1b · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

Neural Field Representations of Mobile Computational Photography K-planes: Explicit radiance fields in space, time, and appearance

Reference 56

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source=pdf_text observed=2026-08-05T23:10:34.265275Z digest=sha256:b9823cda4dd5f0f0d127f1ce37263f4e7deba41944335916dd2a16dd6be9dff5

Observation a9169269-1a67-4eb5-8764-4f5578076bc5 · outbound

This paper cites Massively parallel multiview stereopsis by surface normal diffusion.

Neural Field Representations of Mobile Computational Photography Massively parallel multiview stereopsis by surface normal diffusion

Reference 57

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source=pdf_text observed=2026-08-05T23:10:34.344542Z digest=sha256:4b8072df29524b41b57e09ca68000eea76a75da3f807e3b2d9b486342ca2a602

Observation 29783220-34ed-4a25-9aa5-01a968fef44f · outbound

This paper cites Locally non-rigid registration for mobile hdr photography.

Neural Field Representations of Mobile Computational Photography Locally non-rigid registration for mobile hdr photography

Reference 58

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source=pdf_text observed=2026-08-05T23:10:34.403541Z digest=sha256:5c6d177390854c995489520df1c8201d6a5a57c4c6653a0baf1661da2f669072

Observation 010da3c0-7037-4b26-842f-f0a21c07609f · outbound

This paper cites ” double-dip”: unsuper- vised image decomposition via coupled deep-image-priors.

Neural Field Representations of Mobile Computational Photography ” double-dip”: unsuper- vised image decomposition via coupled deep-image-priors

Reference 59

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source=pdf_text observed=2026-08-05T23:10:34.491382Z digest=sha256:174f96edf322817f6dd1be7bc238167e49bba167773160091ab8211686afefbe

Observation 4594ed76-5219-4b3b-9e25-c9496f184c50 · outbound

This paper cites Monocular Dynamic View Synthesis: A Reality Check.

Neural Field Representations of Mobile Computational Photography Monocular Dynamic View Synthesis: A Reality Check

Reference 60

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verified exact
local_arxiv, observed 2026-08-05T23:10:38.806305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:10:34.551885Z digest=sha256:315b382bb0f49223db16fc9551f07386c80d0897b78fe8d946fda217cca10d13

Observation 09ccdaa9-35c8-4137-9360-bb6f86de8962 · outbound

This paper cites Constructing image panora- mas using dual-homography warping.

Neural Field Representations of Mobile Computational Photography Constructing image panora- mas using dual-homography warping

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source=pdf_text observed=2026-08-05T23:10:34.639725Z digest=sha256:fadf0c91331f3a6291d595ada21a1709108723a4975d92c69ac86ed0435bedc5

Observation ac989d38-5978-421c-9776-081d23fe4438 · outbound

This paper cites Seam-driven image stitching.

Neural Field Representations of Mobile Computational Photography Seam-driven image stitching

Reference 62

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source=pdf_text observed=2026-08-05T23:10:34.733087Z digest=sha256:c1742bfe7dc68f5e2fcf6b7da9286a8c53167d1eed712cbe2b39b5425b173a6a

Observation 2003d3b4-0c36-4db8-8cba-dd790b64477b · outbound

This paper cites Deep burst denoising.

Neural Field Representations of Mobile Computational Photography Deep burst denoising

Reference 63

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source=pdf_text observed=2026-08-05T23:10:34.821375Z digest=sha256:c74f597c63e975d7c711d29aadcbe1ed13bd00fe54356f21413df82d9840b1ae

Observation d63cb7a7-f634-4cfc-81b5-78d58636cf1a · outbound

This paper cites See in the dark with night sight.https://blog.google/products/ pixel/see-light-night-sight/, 2018.

Neural Field Representations of Mobile Computational Photography See in the dark with night sight.https://blog.google/products/ pixel/see-light-night-sight/, 2018

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source=pdf_text observed=2026-08-05T23:10:34.944180Z digest=sha256:8f216bc1d43c551526fed8029332308bb2df903df6c85dae0049fe207c797013

Observation c945825a-3734-4398-9fe6-6be993a707c4 · outbound

This paper cites Astrophotography with night sight on pixel phones.https://blog.

Neural Field Representations of Mobile Computational Photography Astrophotography with night sight on pixel phones.https://blog

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source=pdf_text observed=2026-08-05T23:10:35.041289Z digest=sha256:32826cf57bec951d126bc4619812a525a5b94df4dd33a80b76866410397a5828

Observation 0cb19ec7-2336-4ebc-bbdf-e8011bbcab9f · outbound

This paper cites The lumigraph.

Neural Field Representations of Mobile Computational Photography The lumigraph

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source=pdf_text observed=2026-08-05T23:10:35.129060Z digest=sha256:cd453633bc8590899ec9d1c217cd42a55add01d1969d8d8905be559a227e59e3

Observation ab3d7a18-6824-4c07-b80b-7dc74288d307 · outbound

This paper cites Coded rolling shutter photography: Flexible space-time sampling.

Neural Field Representations of Mobile Computational Photography Coded rolling shutter photography: Flexible space-time sampling

Reference 67

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source=pdf_text observed=2026-08-05T23:10:35.204336Z digest=sha256:9410320d36830169b6987ae9240ff5e1b33d92d6d4b6f33e1dc382c7ea14dcb0

Observation 0b2ee9c2-ba06-4ac1-9f41-772fb04d7590 · outbound

This paper cites The relightables: Volumetric performance capture of humans with realistic relighting.ACM Transactions on Graphics (ToG), 38(6):1–19, 2019.

Neural Field Representations of Mobile Computational Photography The relightables: Volumetric performance capture of humans with realistic relighting.ACM Transactions on Graphics (ToG), 38(6):1–19, 2019

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source=pdf_text observed=2026-08-05T23:10:35.283848Z digest=sha256:9dafed9ff115686371340e8896efefa5bed880ea1813fdd16b66da6f5b86cc33

Observation 7aaaaee3-37fb-4478-92c2-7704a33f3089 · outbound

This paper cites Nerfren: Neural radiance fields with reflections.

Neural Field Representations of Mobile Computational Photography Nerfren: Neural radiance fields with reflections

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source=pdf_text observed=2026-08-05T23:10:35.378874Z digest=sha256:73af1ca113ac6336c72fe0ebb75199592a38751c932b4fc1bfd9c03fcae0cef3

Observation 68762d62-6fb1-4fa2-9ae7-22d17d9c297d · outbound

This paper cites Fully automated image de-fencing using conditional generative adversarial networks, 2019.

Neural Field Representations of Mobile Computational Photography Fully automated image de-fencing using conditional generative adversarial networks, 2019

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source=pdf_text observed=2026-08-05T23:10:35.442935Z digest=sha256:d6af496298b8e863f822cf992175820ba0e68a0dd735cc89fc0d7879aae98ffc

Observation 38bc5df4-a3bc-4214-9b8d-cb4f7e9594d5 · outbound

This paper cites High- quality depth from uncalibrated small motion clip.

Neural Field Representations of Mobile Computational Photography High- quality depth from uncalibrated small motion clip

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:10:35.533667Z digest=sha256:08430a3676daad6fe3dcb8564480e9aac93232098f81bd962a0759eeef941a6f

Observation 11e0196a-e0e1-4642-8dae-f30232e915d5 · outbound

This paper cites Image-based 3d object reconstruction: State-of-the-art and trends in the deep learning era.

Neural Field Representations of Mobile Computational Photography Image-based 3d object reconstruction: State-of-the-art and trends in the deep learning era

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source=pdf_text observed=2026-08-05T23:10:35.621863Z digest=sha256:fdae68d3facfeb85a88e456744e72b04bbf7a4fb3112a4b5a4205f27a5a804bd

Observation 132a6ecd-f3ff-449d-9305-a90cc9924099 · outbound

This paper cites Springer Science & Business Media, 2012.

Neural Field Representations of Mobile Computational Photography Springer Science & Business Media, 2012

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source=pdf_text observed=2026-08-05T23:10:35.718328Z digest=sha256:4b00de024be9ade9a8f30fa5afcf065003dae01528637e01ff9f3efe0efd0e86

Observation 294e17bf-52e6-4485-a48d-44316ee72a80 · outbound

This paper cites SIAM, 2006.

Neural Field Representations of Mobile Computational Photography SIAM, 2006

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source=pdf_text observed=2026-08-05T23:10:35.805006Z digest=sha256:c40cf352f1f4e59a0db0f6b0a4f29e0f8fc4d274e371ed5a443f2acced2719d0

Observation d20f64f0-66f3-48d6-8a92-131e3a57e14c · outbound

This paper cites Cambridge University Press, USA, 2 edition, 2003.

Neural Field Representations of Mobile Computational Photography Cambridge University Press, USA, 2 edition, 2003

Reference 75

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source=pdf_text observed=2026-08-05T23:10:35.870545Z digest=sha256:5998ea4ff18fb4db3e4655eff568a17ce7a2a6bc01dd67830c9ca9423998a5cc

Observation aef88b41-7690-4a8e-8f95-c5cd4f146f1d · outbound

This paper cites Cambridge university press, 2003.

Neural Field Representations of Mobile Computational Photography Cambridge university press, 2003

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source=pdf_text observed=2026-08-05T23:10:35.959305Z digest=sha256:53e79560316b0da7be2761f1ff8fe08df5342336142827736e04d7223aa08ac6

Observation 19f4b9e7-587f-4445-9a39-716122c766aa · outbound

This paper cites Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM Transac- tions on Graphics (ToG), 35(6):1–12, 2016.

Neural Field Representations of Mobile Computational Photography Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM Transac- tions on Graphics (ToG), 35(6):1–12, 2016

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source=pdf_text observed=2026-08-05T23:10:36.053311Z digest=sha256:a5b9a87e8b78b3e443179cca333413f1378dc4cbb2a2e07e0b7331b142c48451

Observation 89309b6d-99b1-43f1-800c-4b146f02437b · outbound

This paper cites Rolling shutter bundle adjustment.

Neural Field Representations of Mobile Computational Photography Rolling shutter bundle adjustment

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source=pdf_text observed=2026-08-05T23:10:36.117594Z digest=sha256:d796722e25a42f10b2ad7a568cb3144dd8f3a233370fe5b9f8e2923b3673ade1

Observation 87cd009b-2e9c-4524-8d54-0ea7754b921e · outbound

This paper cites Casual 3d photography.ACM Transactions on Graphics (TOG), 36(6):1–15, 2017.

Neural Field Representations of Mobile Computational Photography Casual 3d photography.ACM Transactions on Graphics (TOG), 36(6):1–15, 2017

Reference 79

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source=pdf_text observed=2026-08-05T23:10:36.175696Z digest=sha256:3a03617c1bc4c3c67a8ee3c4274e650f64a5779817b86d37e31f632aadde6aa5

Observation 8fa0ba85-6ff4-4d50-a27b-cf964322e7d1 · outbound

This paper cites Instant 3d photography.ACM Transactions on Graphics (TOG), 37(4):1–12, 2018.

Neural Field Representations of Mobile Computational Photography Instant 3d photography.ACM Transactions on Graphics (TOG), 37(4):1–12, 2018

Reference 80

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source=pdf_text observed=2026-08-05T23:10:36.245552Z digest=sha256:e0b5ab5d14e6b398dfcc11a203f31bdbf5b6afe9fc689539b32ae5f9a48554e7

Observation 4ad3731f-afd4-48cf-a774-ecf828be87d7 · outbound

This paper cites Column-addressable and matrix-addressable multi-junction vcsel arrays for all electronic-scanning lidar.

Neural Field Representations of Mobile Computational Photography Column-addressable and matrix-addressable multi-junction vcsel arrays for all electronic-scanning lidar

Reference 81

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no resolver link, observed 2026-08-05T23:10:36.292944Z

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source=pdf_text observed=2026-08-05T23:10:36.292944Z digest=sha256:f1bc1358632051f3760bbc46f8113baabb6e9c1747e7963b723c318e1b5d431d

Observation 1456a2ab-931f-431b-9fdc-cccc44a80295 · outbound

This paper cites an unresolved cited work.

Neural Field Representations of Mobile Computational Photography Unresolved cited work

Reference 82

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no resolver link, observed 2026-08-05T23:10:36.348329Z

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source=pdf_text observed=2026-08-05T23:10:36.348329Z digest=sha256:84f1a8005656b9ab46e5ada2cc99487ba042734490c9cec572cc46e5ab02d781

Observation ef09d892-8adb-42fb-809d-c0d27859f248 · outbound

This paper cites An overview of depth cameras and range scanners based on time-of-flight technolo- gies.Machine vision and applications, 27(7):1005–1020, 2016.

Neural Field Representations of Mobile Computational Photography An overview of depth cameras and range scanners based on time-of-flight technolo- gies.Machine vision and applications, 27(7):1005–1020, 2016

Reference 83

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source=pdf_text observed=2026-08-05T23:10:36.434526Z digest=sha256:81243a145d09f9952689aad61a63884dd5f01b4374a98d7f96fafd07bde18012

Observation 92461bea-6a05-4697-bb86-32bb8ef3a7e5 · outbound

This paper cites Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366, 1989.

Neural Field Representations of Mobile Computational Photography Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366, 1989

Reference 84

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no resolver link, observed 2026-08-05T23:10:36.512042Z

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source=pdf_text observed=2026-08-05T23:10:36.512042Z digest=sha256:4fe0506f58f80c4d2b561120a59a45ac6547359bb883477391e87d5c13307069

Observation aa9fe865-0d53-41d6-9c9e-7cf0d084cadc · outbound

This paper cites Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries.

Neural Field Representations of Mobile Computational Photography Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries

Reference 85

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no resolver link, observed 2026-08-05T23:10:36.537251Z

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source=pdf_text observed=2026-08-05T23:10:36.537251Z digest=sha256:80b9b3d0388aa6c12c688343666b5930883091a4ee89ed7398d1d6b50b5a4190

Observation f864557e-2acf-4c39-b3bf-d114356b1f0a · outbound

This paper cites Single image reflection separation via compo- nent synergy.

Neural Field Representations of Mobile Computational Photography Single image reflection separation via compo- nent synergy

Reference 86

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no resolver link, observed 2026-08-05T23:10:36.655990Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:10:36.655990Z digest=sha256:041b679c85a4be1f730a2538493eadfbccc1017798db050e7c880e7fa2ece4d1

Observation aec8f3a5-4438-4141-ad91-4f17b01fcb41 · outbound

This paper cites High quality structure from small motion for rolling shutter cameras.

Neural Field Representations of Mobile Computational Photography High quality structure from small motion for rolling shutter cameras

Reference 87

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source=pdf_text observed=2026-08-05T23:10:36.821979Z digest=sha256:04960f051aa961c688ad83bb851477cce9d6a451cef449e77504f021c2c2c93c

Observation 946b3e4e-f994-405f-93c7-d8e1558f271a · outbound

This paper cites Calibrated rgb-d salient object detection.

Neural Field Representations of Mobile Computational Photography Calibrated rgb-d salient object detection

Reference 88

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source=pdf_text observed=2026-08-05T23:10:36.991949Z digest=sha256:e0a15a14214d58141cda59e79a5e782bd567f4b9f923217adcca3d8e10811363

Observation 6e31d0d1-3766-4f29-9b08-42d52d5f5d7a · outbound

This paper cites Micro-baseline stereo.Technical Report MSR-TR-2014–73, page 8, 2014.

Neural Field Representations of Mobile Computational Photography Micro-baseline stereo.Technical Report MSR-TR-2014–73, page 8, 2014

Reference 89

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no resolver link, observed 2026-08-05T23:10:37.127603Z

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source=pdf_text observed=2026-08-05T23:10:37.127603Z digest=sha256:f222f433b9d48a57944273b3647d9ede9d01ca07f842a5a1630a4a2dd9afce85

Observation acd252d2-e017-45e7-8bc6-09c71bb50ff0 · outbound

This paper cites Deep high dynamic range imaging of dynamic scenes.ACM Trans.

Neural Field Representations of Mobile Computational Photography Deep high dynamic range imaging of dynamic scenes.ACM Trans

Reference 90

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source=pdf_text observed=2026-08-05T23:10:37.276736Z digest=sha256:a9a80ed9d09a5ca586810d42f36cc4b6e2207d93e892c2c30def923c00fa8781

Observation f12b8b9f-aab4-408e-82b4-52d27050e43b · outbound

This paper cites Layered neural atlases for consistent video editing.ACM Transactions on Graphics (TOG), 40(6):1– 12, 2021.

Neural Field Representations of Mobile Computational Photography Layered neural atlases for consistent video editing.ACM Transactions on Graphics (TOG), 40(6):1– 12, 2021

Reference 91

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source=pdf_text observed=2026-08-05T23:10:37.449500Z digest=sha256:596878139a22356715546633d7fbc8b05104963b95c457f13b68911b148dd4c8

Observation 69f18c43-5dd8-48fb-bb11-ab37a687160a · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):1–14, 2023.

Neural Field Representations of Mobile Computational Photography 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):1–14, 2023

Reference 92

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source=pdf_text observed=2026-08-05T23:10:37.702179Z digest=sha256:e4dc9d1ef901320f2c9f35a565dd6c117624f6f8d0e35eeadaa6be560bbf997e

Observation 393a38ac-af57-4e2e-a1e5-33e0ea893b60 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Neural Field Representations of Mobile Computational Photography Adam: A Method for Stochastic Optimization

Reference 93

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source=pdf_text observed=2026-08-05T23:10:37.819795Z digest=sha256:30b978ab212d1793c066dc1d2863eb582b18d3cc97fd5a0532989235f2770c98

Observation af8585d6-1678-405b-bdd9-a47bcd5a64e9 · outbound

This paper cites Segment anything.

Neural Field Representations of Mobile Computational Photography Segment anything

Reference 94

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source=pdf_text observed=2026-08-05T23:10:37.934959Z digest=sha256:e7dc0ca9c7fba6608023f5563cd5da00fa27bde30645632a969c1e67bd0428b7

Observation afc055db-132c-402f-9acb-90b987b87d8a · outbound

This paper cites The tensor algebra compiler.Proceedings of the ACM on Pro- gramming Languages, 1(OOPSLA):1–29, 2017.

Neural Field Representations of Mobile Computational Photography The tensor algebra compiler.Proceedings of the ACM on Pro- gramming Languages, 1(OOPSLA):1–29, 2017

Reference 95

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no resolver link, observed 2026-08-05T23:10:38.083784Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T23:10:38.083784Z digest=sha256:402bb8cdfddcb6b4227eaa04ce1e39c80a817beabd7514f8c6f8dc3034fce6a7

Observation 8e8b0a98-cb00-4f77-9c04-c0e52b623811 · outbound

This paper cites Time-of- flight cameras in computer graphics.

Neural Field Representations of Mobile Computational Photography Time-of- flight cameras in computer graphics

Reference 96

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source=pdf_text observed=2026-08-05T23:10:38.200371Z digest=sha256:7d8198ab34ddcf0d1d5126df35642fbb5fea247682429ed17e214aef61a87821

Observation c4c0eb73-3732-4524-8802-17b21df1fa8f · outbound

This paper cites One shot 3d photography.ACM Transactions on Graphics (TOG), 39(4):76–1, 2020.

Neural Field Representations of Mobile Computational Photography One shot 3d photography.ACM Transactions on Graphics (TOG), 39(4):76–1, 2020

Reference 97

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source=pdf_text observed=2026-08-05T23:10:38.210423Z digest=sha256:26e2aeed203a4a7401074b03d1312153719a0dd774f71a88fd499ff40a400144

Observation 018224e1-fc32-40d1-b986-937d026e0131 · outbound

This paper cites Robust consistent video depth estimation.

Neural Field Representations of Mobile Computational Photography Robust consistent video depth estimation

Reference 98

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source=pdf_text observed=2026-08-05T23:10:38.213483Z digest=sha256:fc098b9edc446feed0c3f86fd983007beb0a90f45d155c759eae1922d242b394

Observation 16fd5ce8-e651-4554-b5dc-2fce4741e79a · outbound

This paper cites Single image fence removal using fast fourier transform.

Neural Field Representations of Mobile Computational Photography Single image fence removal using fast fourier transform

Reference 99

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source=pdf_text observed=2026-08-05T23:10:38.216605Z digest=sha256:1fb7eb965244108e1d7d44ca0b314d562553d45e72644f283b97b20c5fdd1852

Observation bc0b4730-20e9-463e-a758-e5844dc6a60c · outbound

This paper cites Real-time panoramic depth maps from omni-directional stereo images for 6 dof videos in virtual reality.

Neural Field Representations of Mobile Computational Photography Real-time panoramic depth maps from omni-directional stereo images for 6 dof videos in virtual reality

Reference 100

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source=pdf_text observed=2026-08-05T23:10:38.220015Z digest=sha256:1d62965c0fca494edde89909094823e23ab2f0c009ed086f5815ef3f16920f77

Pith citing papers

No inbound Pith citation observations are available.