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Paper Citation Record · LEDGER

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2606.01638.

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

pith.paper-citation-record.v1
2606.01638 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:30:50.693247Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

55 of 55 outbound references displayed

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  • verified fuzzy0
  • unresolved52
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External citation measurements

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Outbound references

Observation a7cac57b-4197-4fb2-8983-378e26a4c2e3 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 3ad5c082-8ff0-44af-ad76-419c6f563122 · outbound

This paper cites Ultrafast photorealistic style transfer via neural architecture search.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Ultrafast photorealistic style transfer via neural architecture search

Reference 2

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Observation 03efe729-7430-4450-b16f-570990b45b39 · outbound

This paper cites Food-101–mining discriminative components with random forests.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Food-101–mining discriminative components with random forests

Reference 3

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Observation 583b242e-3fe1-44db-b7de-905c07d80658 · outbound

This paper cites Learning photographic global tonal adjustment with a database of input/output image pairs.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Learning photographic global tonal adjustment with a database of input/output image pairs

Reference 4

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Observation bb843dc8-e025-4e72-af43-a4085f8e0e8d · outbound

This paper cites Stylebank: An explicit representation for neural image style transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Stylebank: An explicit representation for neural image style transfer

Reference 5

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Observation 220d9d21-f41f-4427-a1a7-b46ec4ee238b · outbound

This paper cites NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer

Reference 6

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arxiv_id, observed 2026-07-01T22:16:16.821100Z

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Observation 8b900a99-acc3-4873-979a-e7e99eeceb74 · outbound

This paper cites Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans

Reference 7

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:3a90bc5e619c3aae131260926f76e1cac8ad488dffd51ed9afe9305500002bc6

Observation d638b6e2-4fe4-4e4e-b2f0-6edcf233e4da · outbound

This paper cites Photowct2: Compact autoencoder for photorealistic style transfer resulting from blockwise training and skip connections of high-frequency residuals.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Photowct2: Compact autoencoder for photorealistic style transfer resulting from blockwise training and skip connections of high-frequency residuals

Reference 8

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:5cbde24b8f9c38ccd1f4236d09c7573b24cf2e00f5dcb9da8787ceb43b853491

Observation 33609484-8835-459a-a2ee-75eccaf967dd · outbound

This paper cites Stytr2: Image style transfer with transformers.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Stytr2: Image style transfer with transformers

Reference 9

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:7afa81a4733ea7106cd229f393f1a3be35b3a89edaf8542cdc68d36a1c55ba31

Observation cacb31a7-8107-43bb-a74b-53f28f0f4e0e · outbound

This paper cites A Learned Representation For Artistic Style.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation A Learned Representation For Artistic Style

Reference 10

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local_arxiv, observed 2026-07-01T22:16:16.826791Z

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Observation f6d8ffeb-ee19-4d68-a050-0defe7378eed · outbound

This paper cites Im- age style transfer using convolutional neural networks.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Im- age style transfer using convolutional neural networks

Reference 11

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Observation 138afd8f-e4f6-4e6c-9c7c-d1113d1ef930 · outbound

This paper cites Con- ditional sequential modulation for efficient global image re- touching.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Con- ditional sequential modulation for efficient global image re- touching

Reference 12

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Observation 0aa999d3-3411-4896-a282-4e11a13cc1b6 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Gaussian Error Linear Units (GELUs)

Reference 13

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

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Observation da8953cc-c7ae-4d4a-92b1-aae67844bd1b · outbound

This paper cites Deep preset: Blending and retouching photos with color style transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Deep preset: Blending and retouching photos with color style transfer

Reference 14

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Observation 611f04eb-ddda-4c67-833c-e6ed5bfd5f03 · outbound

This paper cites Exposure: A white-box photo post-processing framework.ACM Trans.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Exposure: A white-box photo post-processing framework.ACM Trans

Reference 15

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Observation 8661ed7a-c50c-4d23-9255-c9f0b05f1143 · outbound

This paper cites A software plat- form for manipulating the camera imaging pipeline.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation A software plat- form for manipulating the camera imaging pipeline

Reference 16

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Observation de50b957-02a6-432b-9975-360e0a4c874e · outbound

This paper cites Neural preset for color style transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Neural preset for color style transfer

Reference 17

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:20df81f492558d8afc2996f944e1260926d7706e4074c4ee07dce4f3331278cd

Observation 60b8581f-23c9-48d0-bf4c-f9a2bdce357c · outbound

This paper cites Supervised contrastive learning.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Supervised contrastive learning

Reference 18

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:7d96e8108833dc6e118fc29a58727754e8c8ad862c2dab73c12430d885c61aef

Observation 5da28190-0e35-4f2d-b492-b271f18f935f · outbound

This paper cites Lutformer: Lookup table transformer for image enhance- ment.Neurocomputing, 2025.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Lutformer: Lookup table transformer for image enhance- ment.Neurocomputing, 2025

Reference 19

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:17edcaffe2ee33e9313213d1d8fb83efe9120212c363b2c3b3b3ff2d9c7f67f2

Observation bc1ffa7f-700c-47e4-ab5f-013a46a78642 · outbound

This paper cites D-lut: Photorealistic style transfer via dif- fusion process.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation D-lut: Photorealistic style transfer via dif- fusion process

Reference 20

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Observation b7b20e99-e98f-4c66-9574-bfa5ecb69d0c · outbound

This paper cites Universal style transfer via feature transforms.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Universal style transfer via feature transforms

Reference 21

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Observation 6dcd60ed-8e1d-4fef-814d-131e516918a1 · outbound

This paper cites A closed-form solution to photorealistic image stylization.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation A closed-form solution to photorealistic image stylization

Reference 22

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Observation f3b60767-30a0-4cf0-a01c-74ba6888f3a5 · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Lsdir: A large scale dataset for image restoration

Reference 23

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Observation a2b68deb-d990-4ca5-81ae-40f817d96320 · outbound

This paper cites PPR10K: A large-scale portrait photo retouch- ing dataset with human-region mask and group-level consis- tency.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation PPR10K: A large-scale portrait photo retouch- ing dataset with human-region mask and group-level consis- tency

Reference 24

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Observation cbf22d5e-af31-4e46-b280-befc1f288b69 · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Enhanced deep residual networks for single image super-resolution

Reference 25

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Observation 9df6e75f-2a7f-41a0-93f7-27f6b72f5d29 · outbound

This paper cites Adacm: adaptive colormlp for real-time universal photo-realistic style transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Adacm: adaptive colormlp for real-time universal photo-realistic style transfer

Reference 26

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Observation 2784e596-cb1f-44c9-9cb6-fd75ec865523 · outbound

This paper cites Adaattn: Revisit attention mechanism in arbitrary neural style transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Adaattn: Revisit attention mechanism in arbitrary neural style transfer

Reference 27

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Observation f918680b-30ca-4cc0-84b1-4fa9f3e74e08 · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Sgdr: Stochastic gradient descent with warm restarts

Reference 28

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Observation 7142edc4-817e-4897-9308-38c314d53b19 · outbound

This paper cites Decoupled weight decay regularization.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Decoupled weight decay regularization

Reference 29

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Observation f18513c2-1729-41ef-a9b4-b41d7dde3784 · outbound

This paper cites Structure-preserving super resolution with gradient guidance.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Structure-preserving super resolution with gradient guidance

Reference 30

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Observation da1c8004-bee8-46a4-8bae-cb5d7ef9e740 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9,.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Visualizing data using t-sne.Journal of machine learning research, 9,

Reference 31

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Observation b9b0950d-2099-44d0-9ebd-408feb67b8cd · outbound

This paper cites The relationship between photo retouching and color grading.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation The relationship between photo retouching and color grading

Reference 32

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Observation d604e3b0-e92c-444f-8ead-fee82e400b14 · outbound

This paper cites Deeplpf: Deep local para- metric filters for image enhancement.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Deeplpf: Deep local para- metric filters for image enhancement

Reference 33

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Observation bddc6919-0541-4ba7-bc33-4f0454d672ab · outbound

This paper cites Comparing im- ages using color coherence vectors.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Comparing im- ages using color coherence vectors

Reference 34

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Observation 7d83840d-d8bf-45af-85d3-c4251165009b · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Film: Visual reasoning with a general conditioning layer

Reference 35

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Observation 8fee9279-48e6-4c8d-97b8-16dc642cc1ec · outbound

This paper cites N- dimensional probability density function transfer and its ap- plication to color transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation N- dimensional probability density function transfer and its ap- plication to color transfer

Reference 36

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Observation 82851f64-46e9-4600-ad43-2ae4bed12ee9 · outbound

This paper cites Au- tomated colour grading using colour distribution transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Au- tomated colour grading using colour distribution transfer

Reference 37

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:d4a379ddadf69f080646ba7d715c1163684c3ca5701a354e4ff0766f1868357c

Observation 63f00202-3be4-4f3c-bf56-5c5afc252301 · outbound

This paper cites Color transfer between images.IEEE CGA, 21:34– 41, 2002.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Color transfer between images.IEEE CGA, 21:34– 41, 2002

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:d1dceb7cbb305942a5cdd9e23164d6882d28e48ad65c4af4858b8422b19fa731

Observation cbc4fcd7-1792-4c54-b607-30c58c04d708 · outbound

This paper cites Imagenet large scale visual recognition challenge.Int.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Imagenet large scale visual recognition challenge.Int

Reference 39

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:3d56563cbdc4d80c97a544830323e87c392fceb1436bb08481859f6e770f9c04

Observation 53c6c7ac-7706-48ba-88cc-dccb99ea5240 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 40

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:07dd7a0fe334e7b40a6039e5d3986991c4bdc123d3960a3860db5f86b1f3ec95

Observation 91472ce7-3859-4597-a027-4041b11af55e · outbound

This paper cites Video color grading via look-up table generation.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Video color grading via look-up table generation

Reference 41

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:871342a66197fcfa914e35cf5f7aa2e179f4456fab4ba18de6299030ed029947

Observation f35a19dc-f663-43da-97a2-3f9cf76f232f · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.Proc.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Very deep convo- lutional networks for large-scale image recognition.Proc

Reference 42

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:52813afeaeae58cecb22bc434197d3c2c4634e296de082f371b0a4d23e03a5bc

Observation 95d9019d-b886-48e9-bf4d-5b83e05983bf · outbound

This paper cites Ldc: Lightweight dense cnn for edge detection.IEEE Access, 10:68281–68290, 2022.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Ldc: Lightweight dense cnn for edge detection.IEEE Access, 10:68281–68290, 2022

Reference 43

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:23f06e4fa17bbf86ec22abe96447d0d8cfcb0190dd22f0af6f5e30fdffcdc689

Observation a331cba6-ac84-49df-9f8c-7f6d0d00a7aa · outbound

This paper cites Attention is all you need.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Attention is all you need

Reference 44

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:037ac679352d9cba291a838459f4fffbc839072dd8456b1e457c2fd28adf6dfa

Observation c6ea53ad-c2b3-43c7-b791-83e3aae40cea · outbound

This paper cites Underexposed photo enhance- ment using deep illumination estimation.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Underexposed photo enhance- ment using deep illumination estimation

Reference 45

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:c81c65d4510ab98f92cae0e8010c0ae5d04f7fef76fa77aa6fd552807b74867d

Observation 665304f3-0665-48b1-8562-2728e5b845e7 · outbound

This paper cites Cap- vstnet: Content affinity preserved versatile style transfer.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Cap- vstnet: Content affinity preserved versatile style transfer

Reference 46

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:635270ab60cd3b91e5d5472ad7b592bb431a2f32fd124be12565e8bbc79e04b2

Observation 114fea37-bf47-4f10-a16d-9f2597e5e227 · outbound

This paper cites Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval

Reference 47

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:057d4e3b786410adefae2c800d8fc456d11ebf4224ee91dd16f004ee5c7e2ce5

Observation 3cdb4cfe-384b-4072-b61a-52a7971bb494 · outbound

This paper cites Adaint: Learning adaptive intervals for 3d lookup tables on real-time image enhancement.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Adaint: Learning adaptive intervals for 3d lookup tables on real-time image enhancement

Reference 48

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:f3d774362745e193b82150fecb73a222897bdff865a03788c93ababb0a89fac7

Observation a648e9b0-c3ef-441c-b330-bc16a64c9a1f · outbound

This paper cites Seplut: Separable image-adaptive lookup tables for real-time image enhancement.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Seplut: Separable image-adaptive lookup tables for real-time image enhancement

Reference 49

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:a5ef98c1983e82ff5561a72176357482105b27812d63e96a0ced504cf12b334c

Observation 8aecde27-cea8-48f3-8ceb-b134b1ada686 · outbound

This paper cites Filter style transfer between photos.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Filter style transfer between photos

Reference 50

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:ec9deccfaf01f407d35a666097a4c8359c1cfd9a2b0c83e5955369c6b0a14399

Observation 4e6f5d0c-260c-4601-829d-1c96055a6cb5 · outbound

This paper cites Photorealistic style transfer via wavelet transforms.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Photorealistic style transfer via wavelet transforms

Reference 51

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:47b78c93261def215e6553c1cc59511748109e0f7ea7dca7763239db2697e77c

Observation 5c632da9-52ee-455c-aad0-2654cc92b337 · outbound

This paper cites Learning image-adaptive 3d lookup tables for high perfor- mance photo enhancement in real-time.IEEE Trans.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Learning image-adaptive 3d lookup tables for high perfor- mance photo enhancement in real-time.IEEE Trans

Reference 52

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:bddd60d690d4c4e118ba4031dab7d60cb8ac2e52f281131e19c43eda151502f6

Observation fd1dbcf3-da04-41c9-9efa-20cf1a88ee39 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation The unreasonable effectiveness of deep features as a perceptual metric

Reference 53

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:e8eb9cf79066e276e23eee233f91efc0bbbb422b79e5973d5938e48fdeb61887

Observation d108815c-2eeb-4649-8b8c-61b49c8f8620 · outbound

This paper cites Research on color management and color grading applications in new media movies.Journal of New Media Arts and Technology, 7(1):45–53, 2025.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Research on color management and color grading applications in new media movies.Journal of New Media Arts and Technology, 7(1):45–53, 2025

Reference 54

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:52776d749b1ab985f5ab4fd5e92d88dbc4cab9394df61be5cd38891ae97ee33b

Observation 43273841-3801-41f2-a027-28cdfd4d5b8e · outbound

This paper cites Do- main enhanced arbitrary image style transfer via contrastive learning.

CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation Do- main enhanced arbitrary image style transfer via contrastive learning

Reference 55

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source=pdf_text observed=2026-06-28T15:30:50.693247Z digest=sha256:ea42ca0dd39ee139943e3253873a1017c9da933ffcd86fad6fe076227012b77c

Pith citing papers

No inbound Pith citation observations are available.