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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

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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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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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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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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

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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 2026-08-16T06:30:59.297886+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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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.

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.239009Z digest=sha256:806a60316cec7829fdb61d1dca07dc985c52e5732862d0e26d7e52ac8bb33d0a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.243647Z digest=sha256:1cd40c5ce51e0fa7fc0885973ed106e6452c6cc8fda4f0aa70ac4a31bebf94b5

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: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 2026-08-16T06:30:59.297886+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

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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:ad7454f24b046c80d0b01f9f5e1778e34d7d01e1b6f028c9868af53d57c43ee5

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=sha256:0f85082b600df78da369c746ae8fe67be26e338f10799d898e540af203a4833a

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.

source=pdf_text observed=2026-08-14T13:54:10.277543Z digest=sha256:87b4ba6a25920806f596620cb96027d24174296c073e1931ec940e0231285375

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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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=sha256:3022017524bac2881b7da26b9bbfeb58f6105d2d1f35129f3d9ccf098352099d

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:d93a7c6d84cc452063660f0a7edb3f81c99fa0720921704e316d805a8da14e91

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:ef7ca795c9de9879373a5735fe021757bc91e23a3605f28f1b1a52abed3214d6

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=sha256:46a7416b3d198df6f892f1ba67b30e0ae3edc1bceb75f7b1063ca29f497e3826

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:bb91c01328f533e06b1250d9a2fd033888c7e828d9fd9a3fc430fc2551b1a223

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=sha256:0ec4582d9045d4c5a1e53e342c0fad4d66ef1ba6b45b9f1c1acae8782a2dfb57

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:f2d7c23ca9ea4bf46efdd807a9cf9811dcefb1eb400b7b02bd67147fcfbe60b6

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=sha256:3da9260c308029d019651b7f5196cb2f3c4b078bc1057ff55786d325aec4374f

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=sha256:48ec3c3ee7f905d64f4d01529cf5291db46058052ef7be3f79557a3eaa7a14bf

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=sha256:4a44b0b8083340dcc1a4cbe3f1e232af7ac33c8012db5046baedcd96ae9b364f

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
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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:f0bc73131c00b8c8b5cc10ee96c7d057c7fbb29a8e5e52a94ac203a5e94acbe2

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=sha256:53505c9b43477e0c7f8f6a6104cfe7c24fe01b03173b80af498b2e13d2c94380

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=sha256:164404a3e5547cab6735943a72e0dd5182aacbfb1806600638f537f9df9b490e

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.344517Z digest=sha256:58cb1ab7e68849ca8308baf44872ef67499b9243f9c337436f562614cff38dbe

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=sha256:14bdd0731dd5e586c9ff24841ef9bb20fcd7b645b24beede51ae100dbc249b31

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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verified fuzzy
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:e03eef305288569b0101fd689162eb9c460a52479acbfb37dc43417222a28ea7

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

Resolution
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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:c2a47d4f033930fd8cf065f1991e2db35c442c1476eb1277e4cf7856ed318dae

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.366744Z digest=sha256:38521a3d4845c78a1cc0b241d8c285a043e50f5b8e02cd9f927f8ccd52e406d6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.371054Z digest=sha256:66e96a37e2becbc0d14a1f2b740599a9067e19c4225e811817f5380a9c016090

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.384412Z digest=sha256:c9a9d211bebc125846856ef19f48e7159145c26100486317e47d79cff575386b

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=sha256:686ac40a11f9a14b01b3b83419245c505b86c77672626a33449e0c7228e669e4

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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Source-reported events for the cited work

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:10.403977Z digest=sha256:473a8d752c30ae3ae52fc2c926754021b962c8c33f2315b6c88f169b8572959a

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=sha256:92fe9027084506b87b0b6aae1841b71fc41a7d0f499e1d1e495a87711d6e444c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.418896Z digest=sha256:a9892200c012c19759e161e91fe8bb5bcf86a3cadac3b2c4075f4b5a01f38d10

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=sha256:192d2f410088b351e506e1136d26126d5cfab6d1abe78135a55dae6276bf1257

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.441332Z digest=sha256:2dcca55a464126b04b90b0ed83b42b33c8404a80e22510535f6e759fa09055ab

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=sha256:7996b218f2d6fb996e818d59c7a585d5aa9fcc50de2d85bd1cc744f8303b3aa7

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:a5d770076019ac97563c696e5f05715f6db27232a1fb4c3d6aa295fb7813d830

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.454327Z digest=sha256:005d606532fa25a494ef123ab3b9b540c47f6114c082a911dbde7d36d92b08f9

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.477124Z digest=sha256:9ddb08e5fff3b8e705895147009d93e5e37b2edf87cf7444901162c87aa454ff

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:a5654afbdc71515a2e852641416376aa0e5cb54c9abfd46c80a2400ed7dbacd1

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:d736a98306f1ac67c98e2430c5ccf4c0941aa3d07b4afbf87a2ff0ccb82774ca

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:54:10.490564Z digest=sha256:1938a493ce8a7b2b7a2f703e9f7100d5fdbe3739c92d4b2c134d573c4382da64

Pith citing papers

No inbound Pith citation observations are available.