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Paper Citation Record · LEDGER

Deep Tone Mapping Operator for High Dynamic Range Images

As of 16 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:1908.04197.

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

pith.paper-citation-record.v1
1908.04197 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:54:10.490564Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

68 of 68 outbound references displayed

  • verified exact1
  • verified fuzzy49
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cd7e000-9d63-468f-9603-7c2592a5e735 · outbound

This paper cites Visualization of high dynamic range images,.

Deep Tone Mapping Operator for High Dynamic Range Images Visualization of high dynamic range images,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 48309c3d-6e2f-4ee0-945d-41ee9dbf9bba · outbound

This paper cites High dynamic range image compression by optimizing tone mapped image quality index,.

Deep Tone Mapping Operator for High Dynamic Range Images High dynamic range image compression by optimizing tone mapped image quality index,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.565387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aca85c5a-9967-4baa-b06c-5eb3efb924a2 · outbound

This paper cites Gradient-based tone mapping for rate-distortion optimized backward- compatible high dynamic range compression,.

Deep Tone Mapping Operator for High Dynamic Range Images Gradient-based tone mapping for rate-distortion optimized backward- compatible high dynamic range compression,

Reference 3

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raw_fallback, observed 2026-08-14T13:54:11.549389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 167f9d91-366b-47c0-9df2-087100e8f3b3 · outbound

This paper cites Learning-based Adaptive Tone Mapping for Keypoint Detection,.

Deep Tone Mapping Operator for High Dynamic Range Images Learning-based Adaptive Tone Mapping for Keypoint Detection,

Reference 4

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raw_fallback, observed 2026-08-14T13:54:11.533129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 18fa8bc1-1b74-4d25-93e6-3b0a4345fdea · outbound

This paper cites Dufaux, P.

Deep Tone Mapping Operator for High Dynamic Range Images Dufaux, P

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.514992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b3cd4750-43f3-4ab8-9b55-6eaeee7e9f4f · outbound

This paper cites McCann and A.

Deep Tone Mapping Operator for High Dynamic Range Images McCann and A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.497245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6720df06-ec25-4910-83fc-7d0fbb3d6624 · outbound

This paper cites Learning-Based Tone Mapping Operator for Image Matching,.

Deep Tone Mapping Operator for High Dynamic Range Images Learning-Based Tone Mapping Operator for Image Matching,

Reference 7

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raw_fallback, observed 2026-08-14T13:54:11.480928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 53555139-ac3a-45d9-84d0-c1839096174c · outbound

This paper cites Evaluation of tone mapping operators using a high dynamic range display,.

Deep Tone Mapping Operator for High Dynamic Range Images Evaluation of tone mapping operators using a high dynamic range display,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.464366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.210464Z digest=sha256:e227907d2544a69a79fb8b133859cb623471a895cac162b365d57a23eef3cb56

Observation e23ae152-3677-4dcc-9992-6c73b9e0f4a9 · outbound

This paper cites Evaluation of Tone Mapping Operators for HDR-Video,.

Deep Tone Mapping Operator for High Dynamic Range Images Evaluation of Tone Mapping Operators for HDR-Video,

Reference 9

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raw_fallback, observed 2026-08-14T13:54:11.447653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.215087Z digest=sha256:780e806a72d50f33effd6fc93ccef6dea766f0d7e725c438f8913f47e0a50b08

Observation e839e056-6d86-486c-b42d-e67dd687599b · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Imagenet classification with deep convolutional neural networks,

Reference 10

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unresolved
no resolver link, observed 2026-08-14T13:54:10.219683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.219683Z digest=sha256:1d0ef632ed85d4c4a2bc2e82d561f30222b2d62f98d48a76aaeecc07a9838f5c

Observation 605a5a6d-2d11-44dc-b9d5-70de00d9466b · outbound

This paper cites Generative adversarial nets,.

Deep Tone Mapping Operator for High Dynamic Range Images Generative adversarial nets,

Reference 11

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raw_fallback, observed 2026-08-14T13:54:11.419456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.224413Z digest=sha256:b250c5061cd21360c2e4b93b097ca6c9e031b5a095d0b33941405aaf5d29cb9e

Observation b41d72a3-e871-43ae-9499-626f5b49a8a1 · outbound

This paper cites Conditional Generative Adversarial Nets.

Deep Tone Mapping Operator for High Dynamic Range Images Conditional Generative Adversarial Nets

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.229153Z digest=sha256:cc47fd6827bdf9f3034df404f33b588ae04ba1dfa0e2496551da2a7aa8eabe0e

Observation 2a0c9b00-4288-4836-84c9-d95ac4e2a5a4 · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Image-to-image translation with conditional adversarial networks,

Reference 13

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raw_fallback, observed 2026-08-14T13:54:11.403495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.233958Z digest=sha256:d6dae607825faeff470523c11dc3a7fded00d9fbc49c33c9cb77ed55eae9c2b7

Observation bd97df52-0592-47d5-be47-896539cf5646 · outbound

This paper cites Optimizing tone mapping operators for keypoint detection under illumination changes,.

Deep Tone Mapping Operator for High Dynamic Range Images Optimizing tone mapping operators for keypoint detection under illumination changes,

Reference 14

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raw_fallback, observed 2026-08-14T13:54:11.387586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.239009Z digest=sha256:c95d057d65829e47fb0e628b6ae80f2d989be848d52e3d681f03d87865c5050d

Observation e9c48da3-78ab-46c0-9fbe-e211d2ad2e38 · outbound

This paper cites Applicationspecific tone mapping via genetic program- ming,.

Deep Tone Mapping Operator for High Dynamic Range Images Applicationspecific tone mapping via genetic program- ming,

Reference 15

Resolution
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raw_fallback, observed 2026-08-14T13:54:11.372829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.243647Z digest=sha256:6086706a428cd87c455354417dfadc4d544c15d1880baf776ba4c77d223f22f5

Observation c03fb2fb-ae04-418d-920f-5675379671f0 · outbound

This paper cites Feature learning for the image retrieval task,.

Deep Tone Mapping Operator for High Dynamic Range Images Feature learning for the image retrieval task,

Reference 16

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raw_fallback, observed 2026-08-14T13:54:11.358013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 33eb8e8e-8baa-48ad-8032-9730c6079a80 · outbound

This paper cites Precomputed real-time texture synthesis with markovian generative adversarial networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Precomputed real-time texture synthesis with markovian generative adversarial networks,

Reference 17

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raw_fallback, observed 2026-08-14T13:54:11.342589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d723d242-4fe1-4913-9f98-761926ccb566 · outbound

This paper cites Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

Deep Tone Mapping Operator for High Dynamic Range Images Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Reference 18

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unresolved
no resolver link, observed 2026-08-14T13:54:10.258477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.258477Z digest=sha256:84b753816aab67e3e3eed970ff7c2d5fefd659ce8a4e9335e50149adcd560774

Observation e576addc-da90-4927-a642-969a9c6eb822 · outbound

This paper cites Banterle, A.

Deep Tone Mapping Operator for High Dynamic Range Images Banterle, A

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.326617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6cabb17b-f10b-46be-84e7-8794410d75e4 · outbound

This paper cites A visibility matching tone reproduction operator for high dynamic range scenes,.

Deep Tone Mapping Operator for High Dynamic Range Images A visibility matching tone reproduction operator for high dynamic range scenes,

Reference 20

Resolution
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raw_fallback, observed 2026-08-14T13:54:11.311266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.268581Z digest=sha256:c10541dd15b7d401b48036ba7c76196261758e1a7fe947b3e7ef530a2adc78b0

Observation 313bbd28-4a3e-47e9-b168-7c7760f64c3b · outbound

This paper cites Adaptive logarith- mic mapping for displaying high contrast scenes,.

Deep Tone Mapping Operator for High Dynamic Range Images Adaptive logarith- mic mapping for displaying high contrast scenes,

Reference 21

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raw_fallback, observed 2026-08-14T13:54:11.295089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.273161Z digest=sha256:3c465844700225efb783d31b42c3e1e2bfff5f2f104bcfd5b4bc8a8c37c4ec37

Observation a9a3d481-7ef9-447c-885f-55a829e3526e · outbound

This paper cites An adaptive sampling technique for multidimensional integration by ray-tracing,.

Deep Tone Mapping Operator for High Dynamic Range Images An adaptive sampling technique for multidimensional integration by ray-tracing,

Reference 22

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raw_fallback, observed 2026-08-14T13:54:11.279707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 37e88746-415b-40c3-b698-7c6e2c3c1cfe · outbound

This paper cites Two methods for display of high contrast images,.

Deep Tone Mapping Operator for High Dynamic Range Images Two methods for display of high contrast images,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.264743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.281998Z digest=sha256:c5744e54d85c2502d8b0f66bcbedac71237091b196ec6cb407461f33efe27581

Observation 7c0ec331-0c34-42c0-9f21-2a4805d3456d · outbound

This paper cites Adaptive gain control for high dynamic range image display,.

Deep Tone Mapping Operator for High Dynamic Range Images Adaptive gain control for high dynamic range image display,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.249431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.286404Z digest=sha256:b6db0368864a47c5a8d2525d2982d058876227d232a9a0bed7f47cd81804cd3c

Observation c1cb493d-693b-4c60-b3e6-1eeb8953f83e · outbound

This paper cites Spatially nonuniform scaling functions for high contrast images,.

Deep Tone Mapping Operator for High Dynamic Range Images Spatially nonuniform scaling functions for high contrast images,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.233186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.291077Z digest=sha256:897da6cab8b1a2bb7e247b9180c119c3dad4976fb9f63ee5d4e484360c392cd5

Observation a182bc1f-7685-4a30-9366-aefde4c1a303 · outbound

This paper cites Fast bilateral filtering for the display of high-dynamic-range images,.

Deep Tone Mapping Operator for High Dynamic Range Images Fast bilateral filtering for the display of high-dynamic-range images,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.216184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.295886Z digest=sha256:b6bb27af5efd9b7f3b7a5df8d978548d9023a1d5a8da7c3d4e0a97facbb0de63

Observation 0422199e-0df8-4d4d-9e26-3fbe5b02cacc · outbound

This paper cites A perceptual framework for contrast processing of high dynamic range images,.

Deep Tone Mapping Operator for High Dynamic Range Images A perceptual framework for contrast processing of high dynamic range images,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.199677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.300331Z digest=sha256:c19a302a30d82d9c199fad7ff3ed802a169bc13405768167b9d3564f7db1a779

Observation 8c7ac33f-4af9-443b-9ffd-e535d020be78 · outbound

This paper cites Gradient domain high dynamic range compression,.

Deep Tone Mapping Operator for High Dynamic Range Images Gradient domain high dynamic range compression,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.184302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.305422Z digest=sha256:c3caef9be14c333ac6f6edd001fb009cf62d91d5cf16825ea0fa4bf1c57da567

Observation 3bfd930f-63da-496a-8f1b-53d1695fee98 · outbound

This paper cites Learning-based tone mapping operator for efficient image matching,.

Deep Tone Mapping Operator for High Dynamic Range Images Learning-based tone mapping operator for efficient image matching,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.168930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.310093Z digest=sha256:5edf83732307cd5327bc22badc03fd66130bec0bcc72171dd80febef3d223aea

Observation 9db13bd0-8b8b-4adc-b228-d4af8ee6254c · outbound

This paper cites Evaluation of HDR tone mapping methods using essential perceptual attributes,.

Deep Tone Mapping Operator for High Dynamic Range Images Evaluation of HDR tone mapping methods using essential perceptual attributes,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.153578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.314665Z digest=sha256:ec05ae5bda54efa643d543a3ee3da7a39c9201b3c6cd3098d833c9065b4907e3

Observation 67e364b9-3145-4b5f-85e2-5dffa31ba214 · outbound

This paper cites Objective quality assessment of tone-mapped images,.

Deep Tone Mapping Operator for High Dynamic Range Images Objective quality assessment of tone-mapped images,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.137484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.321161Z digest=sha256:24a37c076b3f127c337d0f9769d0efe0847f97d0dc9be9a9dfcacf61babd636d

Observation d7f67f59-7e2f-4c9f-90e8-1cf491717c2e · outbound

This paper cites Fsitm: A feature similarity index for tone-mapped images,.

Deep Tone Mapping Operator for High Dynamic Range Images Fsitm: A feature similarity index for tone-mapped images,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.120405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.325786Z digest=sha256:65bd990cd2c5d002d9b35ce8df1d4d13a9f75e33229e3c47f2b19a11a363b027

Observation 7ac20a41-1a85-420c-a150-17ad56fca0c7 · outbound

This paper cites Hdr image reconstruction from a single exposure using deep cnns,.

Deep Tone Mapping Operator for High Dynamic Range Images Hdr image reconstruction from a single exposure using deep cnns,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.102160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.330228Z digest=sha256:850a95c791c07ba1375d511c7da3b55287c29aebb992a13579cb31de4aaf5d0d

Observation 1ff05891-2414-4fa6-a77d-9966369c2270 · outbound

This paper cites Expandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content.

Deep Tone Mapping Operator for High Dynamic Range Images Expandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:11.085949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.334724Z digest=sha256:27d2a82198c9d69c2da2c6850c2f5917cea2eaafbc850d4dae8d6f7d92e35d2d

Observation 5a6f7c5e-70d6-4964-978b-990524320e41 · outbound

This paper cites Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance.

Deep Tone Mapping Operator for High Dynamic Range Images Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:54:10.692442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.339389Z digest=sha256:93b62b06fc4d32a9098fd9350494dbfd9948f216bc3d871419d684147f8fee15

Observation 1894a96a-c097-44f6-8640-a75c70c71846 · outbound

This paper cites Hybrid Loss for Learning Single-Image-based HDR Reconstruction.

Deep Tone Mapping Operator for High Dynamic Range Images Hybrid Loss for Learning Single-Image-based HDR Reconstruction

Reference 36

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source=pdf_text observed=2026-08-14T13:54:10.344517Z digest=sha256:242c268d81cbf850b250d2f60096ee8dfa87f4fdbb308f28301716da9c09b4cb

Observation c81aa7b4-e387-418a-9697-156e9ecc1a8b · outbound

This paper cites Deep reverse tone mapping,.

Deep Tone Mapping Operator for High Dynamic Range Images Deep reverse tone mapping,

Reference 37

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raw_fallback, observed 2026-08-14T13:54:11.069675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.349351Z digest=sha256:147036b828bd569153db7a5a59c3b4dcb8c35fd550dd74ba70ec89f7394c32ad

Observation e3c2d17b-a720-4b79-b016-1bd97ee5e2c2 · outbound

This paper cites Deep high dynamic range imag- ing of dynamic scenes,.

Deep Tone Mapping Operator for High Dynamic Range Images Deep high dynamic range imag- ing of dynamic scenes,

Reference 38

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raw_fallback, observed 2026-08-14T13:54:11.054174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.353690Z digest=sha256:f456bb99f87a5db30bc8596c9e143b9a3038a57916d9b72be97b613f8daccbab

Observation e5d79db3-d7f5-430d-8f97-a72f6f9b53e3 · outbound

This paper cites Deep joint demo- saicking and denoising,.

Deep Tone Mapping Operator for High Dynamic Range Images Deep joint demo- saicking and denoising,

Reference 39

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raw_fallback, observed 2026-08-14T13:54:11.038381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.358166Z digest=sha256:3046a7c0f7f85bc86d63adee4ad09c0b28befcdc093d2d680ef9b5ff6abae26e

Observation ec2e8e84-fa69-4c71-b638-38360276c151 · outbound

This paper cites Bilateral guided upsampling,.

Deep Tone Mapping Operator for High Dynamic Range Images Bilateral guided upsampling,

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.362447Z digest=sha256:ffefee97bdaa48174820c979a5d1d11a46a5b023d7e18fd541115791e55abdeb

Observation d9931019-a30f-4002-a7db-5fa40c5138dd · outbound

This paper cites Deep bilateral learning for real-time image enhancement,.

Deep Tone Mapping Operator for High Dynamic Range Images Deep bilateral learning for real-time image enhancement,

Reference 41

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raw_fallback, observed 2026-08-14T13:54:11.010381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.366744Z digest=sha256:5148425680d64e3da27ea307a30b455b23aed3e37490ce6095527908d76f1499

Observation 25478ff0-1ae3-434c-b544-88b67f319f9d · outbound

This paper cites Deep feature consistent deep image transformations: Downscaling, decolorization and HDR tone mapping,.

Deep Tone Mapping Operator for High Dynamic Range Images Deep feature consistent deep image transformations: Downscaling, decolorization and HDR tone mapping,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.992186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.371054Z digest=sha256:f37d0fd934d82ca86a094ee3a41211184fe67d7b2905a59f5819d73c09e187f9

Observation 100fd702-5d59-40fc-96a9-cd853e1addf3 · outbound

This paper cites Perceptual losses for real- time style transfer and super-resolution,.

Deep Tone Mapping Operator for High Dynamic Range Images Perceptual losses for real- time style transfer and super-resolution,

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.375190Z digest=sha256:4c23fca97cfbb16401529fd45f07e55bc3c5361bc9de52df0f8d240c57e2ff8d

Observation 6432ffaa-38a4-480e-9421-6332ff3eea50 · outbound

This paper cites Semantic Image Inpainting with Deep Generative Models.

Deep Tone Mapping Operator for High Dynamic Range Images Semantic Image Inpainting with Deep Generative Models

Reference 44

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.379618Z digest=sha256:ee10a2567fcf34a4f8bca8fa8b04df51473826751e4cd1f3c46b62da6c0e6de3

Observation 4611ed31-f684-4d42-90d0-5bec6c0c128c · outbound

This paper cites Deep recursive hdri: Inverse tone mapping using generative adversarial networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Deep recursive hdri: Inverse tone mapping using generative adversarial networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.965170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.384412Z digest=sha256:2780f3de083812024f1b1bafe692d6dab2f3ef5ba6a43fefc9d742de684c757a

Observation dbd540ef-cf74-4a19-887b-7ef3902bf5a3 · outbound

This paper cites Deep chain hdri: Reconstructing a high dynamic range image from a single low dynamic range image,.

Deep Tone Mapping Operator for High Dynamic Range Images Deep chain hdri: Reconstructing a high dynamic range image from a single low dynamic range image,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.949577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.389155Z digest=sha256:e686c7306fcccdca943647b414f6a5e503cd129bd6df4f7847e156c7f2039ab5

Observation df3ba7af-844d-4969-9ab8-1cace3f07ae5 · outbound

This paper cites Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.

Deep Tone Mapping Operator for High Dynamic Range Images Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Reference 47

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no resolver link, observed 2026-08-14T13:54:10.393798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.393798Z digest=sha256:2c2c23d6790a1e9a4f69969235cf6ad6ee497236ef987d26d70dfabc7c537601

Observation 3636572b-7247-4d28-898a-ae9acf28de9c · outbound

This paper cites Unsupervised Image-to-Image Translation Networks.

Deep Tone Mapping Operator for High Dynamic Range Images Unsupervised Image-to-Image Translation Networks

Reference 48

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source=pdf_text observed=2026-08-14T13:54:10.399123Z digest=sha256:14a2c6892adfd7e22f6e14077ffa686d56188e383d4dc933f8b7a46dcced9e00

Observation 82d51e8e-a04a-47ff-9e46-4a1f011d0921 · outbound

This paper cites Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision.

Deep Tone Mapping Operator for High Dynamic Range Images Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision

Reference 49

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source=pdf_text observed=2026-08-14T13:54:10.403977Z digest=sha256:0e0dae1cbc779fcf3b936e1b445d6cb5644976f3e2a66e2b40133976bbba70fb

Observation f36858a5-4379-4605-8789-b97ceb319cef · outbound

This paper cites Photographic image synthesis with cascaded refinement networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Photographic image synthesis with cascaded refinement networks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.933679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.408982Z digest=sha256:82f8157c7ef92b2f43c0bd550c298214a2bcd652aab0bd16893a22f194fa282a

Observation 1eaea3cc-2433-4386-ac15-10794326c605 · outbound

This paper cites High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs.

Deep Tone Mapping Operator for High Dynamic Range Images High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Reference 51

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source=pdf_text observed=2026-08-14T13:54:10.413697Z digest=sha256:ebe7e0c55dd8be5bfc77e2567af8994293c846c9fe3375134b856baa3ff0188f

Observation 8a892513-d9df-410b-afe7-70f73780674b · outbound

This paper cites A generative adversarial network for tone mapping hdr images,.

Deep Tone Mapping Operator for High Dynamic Range Images A generative adversarial network for tone mapping hdr images,

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.916342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.418896Z digest=sha256:785d0ad7aafb3d0962064706a6560c43766772b6137dde526c1de1a4b59cdd83

Observation 35c279c2-23a6-4b57-8922-1d36bae08750 · outbound

This paper cites Generating images with perceptual similar- ity metrics based on deep networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Generating images with perceptual similar- ity metrics based on deep networks,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.900354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.423413Z digest=sha256:3e625e38117c3cb974b2248cface1f34af0aee1ec5d27b2ca6d3d1cca131934d

Observation a36f2bab-b460-45ba-8951-db9fe15ea045 · outbound

This paper cites Image style transfer using convolutional neural networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Image style transfer using convolutional neural networks,

Reference 54

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source=pdf_text observed=2026-08-14T13:54:10.427912Z digest=sha256:c3a0a36007ccbb4f6b165be6d7cfe3e32f4c731d23b3d0fec156912fa23c6d58

Observation 5ed4bc07-7c2c-473c-8016-5f03aefa674b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Deep Tone Mapping Operator for High Dynamic Range Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 55

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source=pdf_text observed=2026-08-14T13:54:10.432370Z digest=sha256:96d01a25b2a42d96f226929ef73dead0db323e944e9da93f8a8f52446424635f

Observation a3e66811-214d-4e15-8d37-456c93e4c7a6 · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Deep Tone Mapping Operator for High Dynamic Range Images Imagenet large scale visual recognition challenge,

Reference 56

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.436839Z digest=sha256:2b6154ace1cd6320ddec146106b835d6c89e2b38b3672e725165c20f14fd0786

Observation 2f293e1b-1780-460b-860e-14ded8d50fa9 · outbound

This paper cites Fairchild.

Deep Tone Mapping Operator for High Dynamic Range Images Fairchild

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.864495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.441332Z digest=sha256:009be5d6d46e1bc3d8ca5be637533eb1d651e9374cdd3f322e7fcae3f94c48e6

Observation 5248b66a-5dd8-4263-a394-83632163a01f · outbound

This paper cites A tone mapping algorithm for high contrast images,.

Deep Tone Mapping Operator for High Dynamic Range Images A tone mapping algorithm for high contrast images,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.849465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.445611Z digest=sha256:8ae89b54388c460e1c66f48a6e13890be23c00660008391e2df756a176fbd62e

Observation f4f57e83-92aa-454f-9a21-af066b77bc22 · outbound

This paper cites Photographic tone reproduction for digital images,.

Deep Tone Mapping Operator for High Dynamic Range Images Photographic tone reproduction for digital images,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.833481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.449825Z digest=sha256:833fedf2f357a93b7a2c5759439804c065c8bd1bee885bef1d08c8ec499d6871

Observation 1b83ab85-988f-41b1-91c4-a8782738b0cb · outbound

This paper cites Least squares generative adversarial networks,.

Deep Tone Mapping Operator for High Dynamic Range Images Least squares generative adversarial networks,

Reference 60

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.817363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.454327Z digest=sha256:d86d03b6cb40b23625666c2d137c2f71fd56fc84f5ae45ab680360327a20cdf2

Observation 1455415d-d47f-41f9-a1cd-e8b1e8b1aa67 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Deep Tone Mapping Operator for High Dynamic Range Images Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 61

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.458691Z digest=sha256:6d32ac504bbdaf2b1ea147dec5b14a290db52435d3d7d8dcab2aeb4c5c0504ee

Observation 59e29c56-3fda-485c-98a6-ea22e714523c · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Deep Tone Mapping Operator for High Dynamic Range Images Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 62

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no resolver link, observed 2026-08-14T13:54:10.463567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.463567Z digest=sha256:46c4e7ee77858f95499255904759be621ededa22bca879f4354dfb181ca123bf

Observation 77445447-c818-42a5-b1d0-30099c37773b · outbound

This paper cites Automatic differentiation in pytorch,.

Deep Tone Mapping Operator for High Dynamic Range Images Automatic differentiation in pytorch,

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.468122Z digest=sha256:11e0458ec9f0d3796f8094d7423d4d46fb3a4d72e00323d619c4a4c702cfda4f

Observation 6c412eb4-1b6f-41a7-960c-8918887fca30 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Tone Mapping Operator for High Dynamic Range Images Adam: A Method for Stochastic Optimization

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.472648Z digest=sha256:0997074a5cb662dcfa52c8354c197cc570a8e18bef17886c304d8dff340d902d

Observation bce10011-9f09-410a-ae79-399ec32ae256 · outbound

This paper cites The rank analysis of incomplete block designs — I. The method of paired comparisons,.

Deep Tone Mapping Operator for High Dynamic Range Images The rank analysis of incomplete block designs — I. The method of paired comparisons,

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.789428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.477124Z digest=sha256:e8f90ba54a4d626c23f95e9af7ca8d186ac4c1ca4ab9fce588745703ce929298

Observation 02f45d88-94b4-4f0a-9fe8-50b92d901c89 · outbound

This paper cites Towards high dynamic range extensions of hevc: subjective evaluation of potential coding technologies,.

Deep Tone Mapping Operator for High Dynamic Range Images Towards high dynamic range extensions of hevc: subjective evaluation of potential coding technologies,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.773696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.481446Z digest=sha256:75d0a5b96e1aba5f80e8dcff38481e6bd36976bf85ad0c6666558dc5521ee5d9

Observation ac3334e1-4102-4df0-916d-42fedd84f81c · outbound

This paper cites Color correction for tone mapping,.

Deep Tone Mapping Operator for High Dynamic Range Images Color correction for tone mapping,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.757926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.485910Z digest=sha256:ce25df705825c2ea865691443abbc2eac0024b9d6856b6f96eece39056a9ed45

Observation 3d10ff92-428e-452b-ab2e-6fb4361e75b0 · outbound

This paper cites Learning from weak and noisy labels for semantic segmentation,.

Deep Tone Mapping Operator for High Dynamic Range Images Learning from weak and noisy labels for semantic segmentation,

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-14T13:54:10.742430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.490564Z digest=sha256:9528fdd34dd2ca412d9f7a2a42e87909c4abef66322f5660253c0801e2fd42f9

Pith citing papers

No inbound Pith citation observations are available.