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Paper Citation Record · LEDGER

Deep Tone Mapping Operator for High Dynamic Range Images

As of 15 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 2026-08-15T06:32:42.880941+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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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 2026-08-15T06:32:42.880941+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

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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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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 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-15T06:32:42.880941+00:00.

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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:df32a4816127dee0443daed941496df8966af619f90a80dbc573164316467c81

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 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.239009Z digest=sha256:5e398ca2b755b00136fff43c4a21d1aa2e79e9954d585fc4e387507005b53834

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

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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 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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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:afd60b434231d6a3ca1cd98227d0dfc09c63b37a7e7706e0e4df55639b5cee0a

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

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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 2026-08-15T06:32:42.880941+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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.268581Z digest=sha256:20a220c0b5a2393ce4dec527f2eedf540656960babd35143055db15f7e6af757

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.273161Z digest=sha256:82e332c2332b47703659dbb3dd37d9b6452224acf7e4a112d283f7d2be083b56

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.281998Z digest=sha256:dfc9e926887551781685f02158721e890deadf06831f0eb3432a33c7ba835187

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.286404Z digest=sha256:3ef23c4e072f45411f67fb06d172c714be283012c8258951d826339f87eb1448

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.291077Z digest=sha256:66ce2d57b6d45221f3917f63fc3836c6e5bc69e7917ed1bd3c7ba5810111b039

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.295886Z digest=sha256:331e00eb66a7ca60da89bd8ea689e05fbe4d4e8fcaef911a7ba08a023519518d

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.300331Z digest=sha256:971864708461381ebfcbb10d808f17e6c528233ffa3e9272b1d6fccb7f217ede

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.305422Z digest=sha256:a1b9e8e13f82c7607e568030aa0b0803858e697c5772bb7922095e5bc415930e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.310093Z digest=sha256:1419ff3a455ef12f7c6fd5f44a88060d06e4dab7849d5adf50b68b0a7ce9089d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.314665Z digest=sha256:fcf4c106389bce6948f67da19375d34ece9f99b339fb3ca365743a4e70073c9a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.321161Z digest=sha256:4fcc694165f677aaae5ea676422e69c250270cafbca83d65d60704fab2cb6f44

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.325786Z digest=sha256:07bb66e7486a6a2606ead66ecac36a6a0963357ad40a19afa8cea67a2caa5db9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.330228Z digest=sha256:2392b9249f07d9be297f32b1d83d5dbd8604dddd19f9e09ca2e301b5e5809d13

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.334724Z digest=sha256:49345049b32659420baef9219d3ec0277804d11267769e00ef5872f4ee429741

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.339389Z digest=sha256:392ef4f450f52e121a5363d50be883497282f9f7d23662f38146028d10571e6b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.344517Z digest=sha256:cc1d3a9288ca6ebdb3fbf292b70c4b76cce87552157bb7e0022ae387ccc9a409

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.349351Z digest=sha256:c3b38ec6490043d5f931d66f79dc6caf88cd901e550caea4a0644f99b211f7dd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.353690Z digest=sha256:f450e1bc778069fded6a458c6dd72b886225434df303fefca3d28b20eadc3fae

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.358166Z digest=sha256:edc770d1aef7af0f998e9983dcebc6c34c1caaf5e5e0aa7a0817262a0c69f585

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=sha256:4df769b42b63c55c1ac78cfc96297c4de168abfe527b6275828ac0763be9a373

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.366744Z digest=sha256:0e21e9d8542c84f082125e6caf55ce5cbc8efbe93e49432d0f36464e930ac166

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.371054Z digest=sha256:874901b10c10039e3a4584db932fb45bd9b953597a18d7c28f360a2367fd5787

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=sha256:8eb1eab599bdccc31ad9a79dd564d30d3cfd74815f5c51000edf06bdea0b048c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.379618Z digest=sha256:746a11440fe4835b8094ca1c7af338b40498817030887cd6984c05d7c03c91b3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.384412Z digest=sha256:d7450b17d3606f05496aedf61f40485b67e047825a9fd0bda56d533bb168d5e0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.389155Z digest=sha256:a473c1cb481d45d434beff40e7c22c074e0c8f1d3f24a4ad137da6f0ce039616

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=sha256:5b3718627845fc323ffc001943c793f82fa8d8cb722f2d3ad39908e94c1ebcab

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.399123Z digest=sha256:fc6bbcfc46ae51f9ede640cc2c0976c9a4886eb56d7749627cedc5d18036d65f

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-reported events for the cited work

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source=pdf_text observed=2026-08-14T13:54:10.403977Z digest=sha256:c22c45b371fd9e436457bf27a47904953da5b69682efb47ac0c63899682ea468

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.408982Z digest=sha256:2ac5aa6c0eb4653051cb348e111949bc8981c32ac8973412365c8f1203ef9ad6

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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no resolver link, observed 2026-08-14T13:54:10.413697Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T13:54:10.413697Z digest=sha256:1a06af90cc28208a114087971b4bdad9af782d64272cbbe05b84c276be4e2ea3

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.418896Z digest=sha256:ef9549d61371118ac2a2da72438c966c9380d20a8818a6c1a003bc951d15ec18

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.423413Z digest=sha256:8cd42b315446c6bc15949262c489dbf4ca2bf40b4a80e8fe3eee5cb22747bb7f

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.427912Z digest=sha256:090cd327226ad70d628223368ae050c38ff9d0d2e62612699e0ba3222f991b7d

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.432370Z digest=sha256:c851d6d71bc3c273d596efac212efbe38c3732e6cc2a2d88db6683ceb0aa6ba6

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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no resolver link, observed 2026-08-14T13:54:10.436839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.436839Z digest=sha256:88917e801a8ebe94ff4116aa5c67d00187b2a6e6cf23a53aa31da8bdd34bd128

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.441332Z digest=sha256:a9007f8f0c5276894279bfaade99ec4730f9eff518e42af9d86dca2d26c97f14

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.445611Z digest=sha256:0f218f086a2d306b7c7a31011c9884e093ac3cb0266324abcd6d5e89e828acfc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.449825Z digest=sha256:d823c392e3baf154af5542a8458a3591631f40fb1f8dffc25c0d3f906c2b94c8

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.454327Z digest=sha256:0c968e6d318a8681d951903f58eac19dbc78ceb92c234b9816f78d19e38c676d

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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no resolver link, observed 2026-08-14T13:54:10.458691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.458691Z digest=sha256:f107cc9ccb9d7b7b2e9992f247b137c09126a08b92272429e818a89487e71d8f

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:f9d0a8d135b9b8d185b9fc1f4b91b98e1daf5b5f084afc566776c26580b18468

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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no resolver link, observed 2026-08-14T13:54:10.468122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.468122Z digest=sha256:77ad69c41f265bf7aec9bfc94a4c890815f1fd1bf34763af52dfd59ed9755157

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

Resolution
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no resolver link, observed 2026-08-14T13:54:10.472648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.472648Z digest=sha256:7b2538c0666e802f8644abb6352126a20c7907a6c14d45b247c779a8232f9611

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.477124Z digest=sha256:42814d3950ce0c213318287d0923d577a326e4d3d85c4c7286ab991928e25371

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.481446Z digest=sha256:31c0171ba78671701df3cea655736f0a0129d044ae21797b403520f25ca9b7c0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.485910Z digest=sha256:e6c555977e021cac76704adf1d0533d1fd225dc631ea4e87d3201002788d1f2d

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:54:10.490564Z digest=sha256:f13a72638473f0d2d3b800af6d34a8552d51689f083fbfa17c66839d06b1fe73

Pith citing papers

No inbound Pith citation observations are available.