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Paper Citation Record · LEDGER

ColorFlow: Retrieval-Augmented Image Sequence Colorization

As of 15 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 5 inbound Pith citation observations for arXiv:2412.11815.

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

pith.paper-citation-record.v1
2412.11815 v2

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:37:55.542710Z

measured 95 of 95 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:47:40.731060Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:03:41.351637Z

Reference resolution

90 of 90 outbound references displayed

  • verified exact3
  • verified fuzzy52
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec661abd-3449-401a-8eea-3995ca2e8498 · outbound

This paper cites Coloriza- tion of line drawings with empty pupils.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Coloriza- tion of line drawings with empty pupils

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.027015Z digest=sha256:84c1643c12d3c0b259350a0688f79322733558961b2994c4bf76b4884deacb99

Observation 21fb3d10-02f4-43e3-ac12-87fda47a7ddc · outbound

This paper cites https://github.com/Dakini/AnimeColorDeOldify.

ColorFlow: Retrieval-Augmented Image Sequence Colorization https://github.com/Dakini/AnimeColorDeOldify

Reference 2

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source=pdf_text observed=2026-08-11T14:37:55.033677Z digest=sha256:03b8166e38491e3bf659b0872a85d714b8c58dbcb6605af01663e90d18f879e9

Observation 21d9fb9a-625b-4818-ac53-119c55de4b9d · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Blended diffusion for text-driven editing of natural images

Reference 3

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source=pdf_text observed=2026-08-11T14:37:55.039158Z digest=sha256:659c113683df20241f18cd377d5ea295dfae8b001a36443b68f67c3d6d51337e

Observation 03f3c3cf-812a-475b-8541-4f40bc994d5a · outbound

This paper cites Col- oring with words: Guiding image colorization through text- based palette generation.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Col- oring with words: Guiding image colorization through text- based palette generation

Reference 4

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source=pdf_text observed=2026-08-11T14:37:55.044936Z digest=sha256:06e5e76335d99d3403369aa15dc6421a7cad3420c4ee1c8f558559ff19743248

Observation 85fb3c7e-8106-4feb-95d8-5491b8de9753 · outbound

This paper cites Semantic-sparse coloriza- tion network for deep exemplar-based colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Semantic-sparse coloriza- tion network for deep exemplar-based colorization

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.050863Z digest=sha256:8ae74573bfbfee88261ba54a846cf8c33fb13edeb49c3e04804d5be9003d697d

Observation 1ac75ce5-6773-412e-ae69-632cda06eac4 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

ColorFlow: Retrieval-Augmented Image Sequence Colorization In- structpix2pix: Learning to follow image editing instructions

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.056717Z digest=sha256:0512f003ee6d035cecf8d41249371f57b422289b7589c5334c97a3f63fa5a4a9

Observation 1fcc4a1a-455f-4c93-8390-256288a724fa · outbound

This paper cites Line art col- orization based on explicit region segmentation.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Line art col- orization based on explicit region segmentation

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.062807Z digest=sha256:7b920b9d6af179e011e7c1e8d98c9324e6747fb4805ec2254e4d5f9c2b61bfda

Observation 804cccdb-d049-4558-9d2a-70ec2320c26f · outbound

This paper cites AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.068609Z digest=sha256:74bc77543b04d6a4264a619af258bdc021c81a8cc0d1daba7ed5298f9cf37bca

Observation 5cb6d9d3-4c72-4e9e-99cf-b5d094260106 · outbound

This paper cites Palette-based photo recoloring.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Palette-based photo recoloring

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.073513Z digest=sha256:0a36b954bc0ed5485c51361e2cd6f528f79797ba7ca532e8ed9a9fa0a71675e2

Observation 4f98e9df-5ad5-4646-a143-7576e6d78b0b · outbound

This paper cites L-coder: Language-based colorization with color-object de- coupling transformer.

ColorFlow: Retrieval-Augmented Image Sequence Colorization L-coder: Language-based colorization with color-object de- coupling transformer

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.078156Z digest=sha256:ba41fb5346bed02c54c4ce6e1caf2ed6f8cd07bb7f5e0124e5d0d60c2479a4aa

Observation 290d9e41-aca5-4aed-8671-69d38579d1e3 · outbound

This paper cites L-coins: Language-based colorization with instance awareness.

ColorFlow: Retrieval-Augmented Image Sequence Colorization L-coins: Language-based colorization with instance awareness

Reference 11

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source=pdf_text observed=2026-08-11T14:37:55.082963Z digest=sha256:fb244595774dee199137d643a68d8c64f08f20555efa6b1243ef678b1356eeba

Observation 019ac03d-9c56-4e77-94f7-c4f0e345a174 · outbound

This paper cites Language-based image editing with recurrent attentive models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Language-based image editing with recurrent attentive models

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T14:37:57.426145Z

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=2026-08-11T14:37:55.087508Z digest=sha256:d3db09a3c87a155b9a8cdc51e41bf9d406ca4cea128020da9cf23d9640c1cbd7

Observation 3fdf9e04-e134-49f6-a085-9415afe99d2e · outbound

This paper cites Active colorization for car- toon line drawings.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Active colorization for car- toon line drawings

Reference 13

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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.

source=pdf_text observed=2026-08-11T14:37:55.092723Z digest=sha256:cb2033f79932c870d0a64f13a1e82ee854d3c88376982998b7a2d219049683af

Observation 5d775f02-51f6-49d4-b92b-b2fad34b139b · outbound

This paper cites User-guided deep anime line art coloriza- tion with conditional adversarial networks.

ColorFlow: Retrieval-Augmented Image Sequence Colorization User-guided deep anime line art coloriza- tion with conditional adversarial networks

Reference 14

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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.

source=pdf_text observed=2026-08-11T14:37:55.098297Z digest=sha256:a4591d664803388907783e51f2d58dd38acc15cf018723f3dcd948fe9609bdb0

Observation e41a2278-7d38-4972-8f59-da4851969ef2 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.105678Z digest=sha256:bbc05a5d56fa7fe0293ad2a724d48b25e3f779b8ade21e6a7c1825228265e0f9

Observation 66e0476f-4b6d-41a3-974b-d9910f528bb1 · outbound

This paper cites Anime/sketch/manga coloriser trained with deoldify, 2024.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Anime/sketch/manga coloriser trained with deoldify, 2024

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-11T14:37:57.363551Z

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=2026-08-11T14:37:55.111793Z digest=sha256:d4ec844f0b17165c1028eeb4bfb3a1598bb6b6ae7a3a5cc3c5f91c42bf65d272

Observation 556e33ab-bc7a-4843-8b4d-9cd75b3f3832 · outbound

This paper cites Dual color space guided sketch colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Dual color space guided sketch colorization

Reference 17

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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.

source=pdf_text observed=2026-08-11T14:37:55.116580Z digest=sha256:e9fe36815b1926cc5d083ff16cf68aed5e949a42ea7b32d4ad40ef588ced31c1

Observation eb63d19c-f853-4cd0-a9bd-94ca66200a86 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 18

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source=pdf_text observed=2026-08-11T14:37:55.121505Z digest=sha256:7d68f2dd213a6fd7199cdaf7ec2b0dd165d973e97ff8e3fc39ed9196c21522cd

Observation d84a96b3-4578-4b89-a431-83be1eb84a9b · outbound

This paper cites A superpixel-based variational model for image col- orization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization A superpixel-based variational model for image col- orization

Reference 19

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raw_fallback, observed 2026-08-11T14:37:57.293054Z

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=2026-08-11T14:37:55.126395Z digest=sha256:5f07f2a735009cc04b49c0aadd5fac20af1659f1f1a289bc575556257654ede7

Observation bc516dfd-ed08-4003-80dc-009544ec60a7 · outbound

This paper cites Outline Colorization through Tandem Adversarial Networks.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Outline Colorization through Tandem Adversarial Networks

Reference 20

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local_arxiv, observed 2026-08-11T14:37:55.932080Z

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=2026-08-11T14:37:55.131157Z digest=sha256:c2891404256113d3cafb8d6b0483b33d90aa5e423ae9e089f5092b0fc5b4d280

Observation ec7c2813-a4c9-4c65-afc2-7d8bf3df1a36 · outbound

This paper cites Comicolorization: semi-automatic manga col- orization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Comicolorization: semi-automatic manga col- orization

Reference 21

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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.

source=pdf_text observed=2026-08-11T14:37:55.136233Z digest=sha256:52ef8a11943f37d5891f45bca61640419fcfd9149eded074054e403c7ae4c196

Observation 05a71198-6829-44a6-9879-a46217adc5a2 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

ColorFlow: Retrieval-Augmented Image Sequence Colorization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 22

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source=pdf_text observed=2026-08-11T14:37:55.141280Z digest=sha256:4d923acfa4c815bdad7932a437fa0829549007e105a8fe6b8bd8f05561050e2f

Observation 4d86316b-d555-4524-976d-0548a91e5f58 · outbound

This paper cites Deep exemplar-based colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Deep exemplar-based colorization

Reference 23

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raw_fallback, observed 2026-08-11T14:37:57.213433Z

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=2026-08-11T14:37:55.147030Z digest=sha256:49937341a2dc25202bd30e947182e9999e3cda99bef59605498d5ae1130a22c9

Observation f3e6d7db-d515-462a-81f2-9834a87cafb7 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.151836Z digest=sha256:a446703d6d3691f4308adfc1589456335d9225d03c1a51e050e5b3c9706e581f

Observation 8a523f8a-c7fa-42be-a5f5-e3d556a8f0b4 · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local Nash equi- librium.

ColorFlow: Retrieval-Augmented Image Sequence Colorization GANs trained by a two time-scale update rule converge to a local Nash equi- librium

Reference 25

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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.

source=pdf_text observed=2026-08-11T14:37:55.156690Z digest=sha256:9ce2162a437c86ef9d159ec922e03f0dafd4197395f893a9f4eaaa0316950650

Observation 0230023d-eadb-4f54-9f1d-9c361ed8823b · outbound

This paper cites Denoising diffu- sion probabilistic models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Denoising diffu- sion probabilistic models

Reference 26

Resolution
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raw_fallback, observed 2026-08-11T14:37:57.163893Z

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=2026-08-11T14:37:55.161317Z digest=sha256:20cdfbdb1e15237832cd96c3b9927b361403fff56813168665da92befadb957e

Observation 1b40c6b6-246f-4b7d-ab6e-7a9cd5e22130 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Image-to-image translation with conditional adver- sarial networks

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.166804Z digest=sha256:ec35e1700a19d7e3331995ca1edfeae15ac1f998e19e55804924f6067675b3e8

Observation 2f2d1d72-f68a-4c99-881b-2cd2013f2694 · outbound

This paper cites Humansd: A native skeleton-guided 9 diffusion model for human image generation.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Humansd: A native skeleton-guided 9 diffusion model for human image generation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:57.115195Z

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=2026-08-11T14:37:55.171503Z digest=sha256:acf9dc583e84717d3d214f173d3718752966f2766464909c729c265992920774

Observation f4d6987f-f6b9-4f8c-9e19-145bcbf96715 · outbound

This paper cites BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion.

ColorFlow: Retrieval-Augmented Image Sequence Colorization BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.176826Z digest=sha256:045bb8fa2dcc21b511431ceb473a484481612070b76fd7bf6f1607322841f042

Observation d1c48e6b-de45-4bf0-b64c-80ed97fba370 · outbound

This paper cites Pnp inversion: Boosting diffusion-based editing with 3 lines of code.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Pnp inversion: Boosting diffusion-based editing with 3 lines of code

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.181517Z digest=sha256:12d5cdf459e956d6bea1483667a68b466cd63f13eed9fd5cda920d17e77f5c35

Observation a1d09900-0b5a-484e-800e-b106af582e25 · outbound

This paper cites Tag2pix: Line art colorization using text tag with secat and changing loss.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Tag2pix: Line art colorization using text tag with secat and changing loss

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:57.059280Z

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=2026-08-11T14:37:55.186428Z digest=sha256:904c6d8e0a255d0cef177b2bcb0821c7b847a568851e0ac3ca24957f8353b29a

Observation d358f8ab-6650-4afe-8cf7-39a7f04f20ab · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Multi-concept customization of text-to-image diffusion

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.191591Z digest=sha256:9a934f03fe49fe9d1f63648fe1e942a21186033a14af2c370b58f4cc64808d89

Observation f9417d0d-6cb1-43d3-9c21-483887c676bd · outbound

This paper cites Reference-based sketch image colorization using augmented-self reference and dense semantic correspondence.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Reference-based sketch image colorization using augmented-self reference and dense semantic correspondence

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.999659Z

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=2026-08-11T14:37:55.196903Z digest=sha256:21c1fc8e4cf487b28ae693884aee44d4a153febb0f24b816914d88136d6f8e30

Observation 721ec2f8-00e3-4c58-b2d1-e6d974ff2310 · outbound

This paper cites Au- tomatic example-based image colorization using location- aware cross-scale matching.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Au- tomatic example-based image colorization using location- aware cross-scale matching

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.973279Z

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=2026-08-11T14:37:55.201438Z digest=sha256:03cfa3fd4c744974ad0336c32efdbb53ce32c0bf4df68584cbccba2d58c7d188

Observation 4bdbbd4b-d5b6-4b27-80d3-aa1433b86aaa · outbound

This paper cites Globally and locally semantic colorization via exemplar-based broad-gan.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Globally and locally semantic colorization via exemplar-based broad-gan

Reference 35

Resolution
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raw_fallback, observed 2026-08-11T14:37:56.953242Z

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=2026-08-11T14:37:55.206255Z digest=sha256:99447e54302fc66f7bd4f8da3ff0703443dffae18c7e207a1b73604e6cb48ab5

Observation 8fc08786-9946-4546-99f5-7c608eac2cee · outbound

This paper cites Style- structure disentangled features and normalizing flows for di- verse icon colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Style- structure disentangled features and normalizing flows for di- verse icon colorization

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.917518Z

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=2026-08-11T14:37:55.210902Z digest=sha256:4e308755462ec2e829bd5534c249d90676cefff0f610af033406e4336ec83a0c

Observation 098f272f-6ded-452c-86d3-3a30ea6d8585 · outbound

This paper cites Eliminating gradient conflict in reference-based line-art colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Eliminating gradient conflict in reference-based line-art colorization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.215385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.215385Z digest=sha256:f15a0f9ed0c3c78b874552a1096dc21423ab5d0ad5bebcbf2c02fd91afece3f3

Observation 8dcf0186-b63d-4779-9b3d-e4af9955fec2 · outbound

This paper cites Photomaker: Customizing re- alistic human photos via stacked id embedding.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Photomaker: Customizing re- alistic human photos via stacked id embedding

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.869475Z

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=2026-08-11T14:37:55.220356Z digest=sha256:27a8e517240d4ca25b1c8388ec071e46b8f34d5583a849266aef2701fa390290

Observation cf7f5bc0-286f-4b23-a105-25995586deae · outbound

This paper cites Control Color: Multimodal Diffusion-based Interactive Image Colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Control Color: Multimodal Diffusion-based Interactive Image Colorization

Reference 39

Resolution
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no resolver link, observed 2026-08-11T14:37:55.225145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.225145Z digest=sha256:4650874fcc80410f179a6132506d2e7928e1f722cd274bbd36b9ed4ae9b32ad1

Observation 9b3246b0-7078-497c-bbb5-c2898b5ce3bc · outbound

This paper cites Improved Diffusion-based Image Colorization via Piggybacked Models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Improved Diffusion-based Image Colorization via Piggybacked Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:37:55.819039Z

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=2026-08-11T14:37:55.230338Z digest=sha256:d2efc1e90dc29591b06ecc6e6669011b645550fdd383af7965025dad6dcc874d

Observation 678d2c60-4340-4383-881a-c2a78057d93c · outbound

This paper cites HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion.

ColorFlow: Retrieval-Augmented Image Sequence Colorization HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.235786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.235786Z digest=sha256:863d04a60ce75519dda9b340819248aa4eeae9002c4f4dbc02cad0b0c2f2f4de

Observation 85d02337-15c9-4e30-a5d4-b381a4dbe364 · outbound

This paper cites Auto- painter: Cartoon image generation from sketch by using con- ditional wasserstein generative adversarial networks.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Auto- painter: Cartoon image generation from sketch by using con- ditional wasserstein generative adversarial networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.847397Z

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=2026-08-11T14:37:55.241321Z digest=sha256:f4a58236d2cd0da262e4fa20cd04d80cc02b977e94fe7a28038b4e1f0f9bdec4

Observation eefc22ac-a5ad-4ba2-a0c6-cec0d420fdcb · outbound

This paper cites MangaNinja: Line Art Colorization with Precise Reference Following.

ColorFlow: Retrieval-Augmented Image Sequence Colorization MangaNinja: Line Art Colorization with Precise Reference Following

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.247771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.247771Z digest=sha256:0f4237991250f27376172aa0687e40146518265e4e8f4204d46d630854220382

Observation 4e15fbcb-d944-4886-815b-197cb590fce3 · outbound

This paper cites Gray2colornet: Transfer more colors from reference image.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Gray2colornet: Transfer more colors from reference image

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.830148Z

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=2026-08-11T14:37:55.253858Z digest=sha256:1b61b497f4bb532bdb53662466b6b39ff4afe834d18875e506bb5386d78ca675

Observation 8b921a75-b05f-4033-9416-14027ca2a691 · outbound

This paper cites Automatic col- orization, 2024.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Automatic col- orization, 2024

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.808266Z

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=2026-08-11T14:37:55.259007Z digest=sha256:a676c3481ec27cbd9cc7e0340effa9413b42cfa0a12983db43584214535a55f3

Observation 2c4553a3-2aaf-435b-bd60-30285d7a40cb · outbound

This paper cites https://github.com/qweasdd/manga-colorization-v2.

ColorFlow: Retrieval-Augmented Image Sequence Colorization https://github.com/qweasdd/manga-colorization-v2

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.781739Z

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=2026-08-11T14:37:55.265178Z digest=sha256:ac59e10909b5c4c29e9c25bb649d160d89292147b5426b68be990e40a1361605

Observation 4125be2e-e37a-469d-9045-a8548d24b259 · outbound

This paper cites Learning to Color from Language.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Learning to Color from Language

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.271710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.271710Z digest=sha256:791a3182ce9f731d43dcf94223925170756f6bdc694e3e66c68c7db5a3c2f64a

Observation d4f0cf98-53f2-4fbf-bb84-3dab09221f33 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.760551Z

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=2026-08-11T14:37:55.280655Z digest=sha256:c4de6a9e995682a2a3e83225397f98d2adb4c2ca85a57978400d1fb603f26ed1

Observation 1ca33539-7f64-4359-8e0b-fd8fbd20985e · outbound

This paper cites Manga colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Manga colorization

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.738116Z

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=2026-08-11T14:37:55.287091Z digest=sha256:993514ac10f55adccf056740b067c08522ed4b5fb6481432ea903d5aa7e34a84

Observation f0620861-e292-4071-a833-ff77ee04e941 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Learning transferable visual models from natural language supervi- sion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.716173Z

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=2026-08-11T14:37:55.296675Z digest=sha256:7ea4af94acd9d135c597109712cb9fe9debfda6821240eb95c465a8d5a5768a3

Observation 346eaa68-f346-4916-9211-3a9370b7cb54 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization High-resolution image synthesis with latent diffusion models

Reference 51

Resolution
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no resolver link, observed 2026-08-11T14:37:55.303591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.303591Z digest=sha256:78c9d2defe1c7425b2cbdda96bc1f9460fbcb581ada3f272804882f465007714

Observation ec80a3ab-3ef1-44c0-b24b-fd55b492325b · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization High-resolution image synthesis with latent diffusion models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.676238Z

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=2026-08-11T14:37:55.309353Z digest=sha256:a94894f4f2592425353214999effed71171e71629e5b8a7d82bb328fc400d9bf

Observation 679def11-d943-4161-8061-d0f58afdff84 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.314695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.314695Z digest=sha256:974ff156ca44b3eb0011726f68932fa88acefbde0d077d70056438c14b8335a4

Observation 5e198f46-164f-4994-a91f-0a496c4b8762 · outbound

This paper cites Scribbler: Controlling deep image synthesis 10 with sketch and color.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Scribbler: Controlling deep image synthesis 10 with sketch and color

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.639167Z

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=2026-08-11T14:37:55.326187Z digest=sha256:c4a8a1e7e8fd31ed0f4e0d385ac7971bc7fe7afc7a55108fa027504dc9397505

Observation 6cf59632-33ab-4049-a4d8-5abf868b30b3 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.331732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.331732Z digest=sha256:216e9c051847eef0e356368dd152ecfcf621e42094da010c119fc6fb433f1da8

Observation 989c5c24-e552-46c9-9b67-3dd833609ec5 · outbound

This paper cites Denoising Diffusion Implicit Models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Denoising Diffusion Implicit Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.338084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.338084Z digest=sha256:5632a30474dfc92e203015275d5fae109bc4d85746f1bcbe2906579fe30c15d6

Observation 86270cd9-b180-4722-861a-f9a66aef13be · outbound

This paper cites Adversarial colorization of icons based on contour and color conditions.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Adversarial colorization of icons based on contour and color conditions

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.597114Z

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=2026-08-11T14:37:55.343632Z digest=sha256:ed212ad445d7daa91848f4a46413f95f5e6272a30a4567de7c27ac496013662e

Observation 96aaf3ec-1420-4b84-97e7-4f5656c92589 · outbound

This paper cites Lazy- brush: Flexible painting tool for hand-drawn cartoons.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Lazy- brush: Flexible painting tool for hand-drawn cartoons

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.563120Z

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=2026-08-11T14:37:55.349935Z digest=sha256:ad0db6fcd25ee4dd12e52e4f630a6ced478f9314b4e824bec551c3bee987f60a

Observation 204498ad-23d7-4c2a-ac60-55d16b83e0da · outbound

This paper cites SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisation.

ColorFlow: Retrieval-Augmented Image Sequence Colorization SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisation

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:37:55.709349Z

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=2026-08-11T14:37:55.354749Z digest=sha256:ac21a88306cb2ef6c5e0ff4621032772530e3562dbc42b18d3f2de0c630aee69

Observation 61de2f7b-2528-4f5a-bcb9-7659ba72b3de · outbound

This paper cites Unsupervised deep exemplar colorization via pyramid dual non-local attention.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Unsupervised deep exemplar colorization via pyramid dual non-local attention

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.539024Z

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=2026-08-11T14:37:55.361258Z digest=sha256:2b9775e022b9e4d6243b6a9d48eda9f8076304ab83b3ae85175015b2becff2a1

Observation ef0db6fe-6536-43bd-be2c-e4c35980a20b · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

ColorFlow: Retrieval-Augmented Image Sequence Colorization InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.368504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.368504Z digest=sha256:8f94371b2c2af8c120eaf4702a1d7701aadf4bf1ca234a510cdd9b09a83f618d

Observation abcd0fee-c8fe-4b18-b541-f0f5275c3324 · outbound

This paper cites Palgan: Image colorization with palette generative adversar- ial networks.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Palgan: Image colorization with palette generative adversar- ial networks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.517827Z

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=2026-08-11T14:37:55.374349Z digest=sha256:0d71bf706423eb5574dadf7f16d9f4231f4ff36bec46a551a00774fe68844a35

Observation bab58dfa-94bc-4421-9797-a2a2eb2ad3e9 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Image quality assessment: from error visibility to structural similarity

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T14:37:55.380667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.380667Z digest=sha256:621b1d5963d90727b8aef49248fc4aba21af82e4be18d669559cce474bb1dd99

Observation 031a7378-7f1d-4907-a5ef-20eba6e27909 · outbound

This paper cites L-code: Language-based colorization us- ing color-object decoupled conditions.

ColorFlow: Retrieval-Augmented Image Sequence Colorization L-code: Language-based colorization us- ing color-object decoupled conditions

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.478355Z

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=2026-08-11T14:37:55.385978Z digest=sha256:eb832be03a275d6d87b09b0eb419155bd2fbd771ff34416e1bf40bbada76ef22

Observation 89a42842-2fdf-45f7-84f8-5220935fc8d9 · outbound

This paper cites L-cad: Language-based colorization with any-level descrip- tions using diffusion priors.

ColorFlow: Retrieval-Augmented Image Sequence Colorization L-cad: Language-based colorization with any-level descrip- tions using diffusion priors

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.456785Z

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=2026-08-11T14:37:55.391893Z digest=sha256:e8840ab76f91dfb245a455d98388ca44107f799d90350e5f17be1955e7286f30

Observation 0f18a3c2-3124-48bf-bfc6-5d508ac3d9f5 · outbound

This paper cites Peak signal-to-noise ratio — Wikipedia, the free encyclopedia, 2024.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Peak signal-to-noise ratio — Wikipedia, the free encyclopedia, 2024

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.434779Z

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=2026-08-11T14:37:55.396898Z digest=sha256:1085fd0b34f562db4201f3eb038325755fc492b1bb7df41ed94a632c481acce9

Observation 2d05253a-715e-474c-821b-112aab03b6fa · outbound

This paper cites Self-driven dual-path learning for reference-based line art colorization under limited data.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Self-driven dual-path learning for reference-based line art colorization under limited data

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.417476Z

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=2026-08-11T14:37:55.402951Z digest=sha256:00c0b165170f8d37e7945f556b04d0afd4229090721e193f0f26a12cf17f0d9e

Observation cf3bd7b6-06d7-4d6a-8173-3ae0b0a425c8 · outbound

This paper cites Flexicon: Flexible icon coloriza- tion via guided images and palettes.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Flexicon: Flexible icon coloriza- tion via guided images and palettes

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.396808Z

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=2026-08-11T14:37:55.409435Z digest=sha256:698c922bd0fd696e15040c0f7408fd74a2d6f3ecd8d3e18a6dd3c7ee82cd920f

Observation a18ccfdc-a1e3-4018-8a2b-1cb1b09a1db2 · outbound

This paper cites Tex- turegan: Controlling deep image synthesis with texture patches.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Tex- turegan: Controlling deep image synthesis with texture patches

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.380262Z

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=2026-08-11T14:37:55.414892Z digest=sha256:f27735ae9c237d522408b2d428c1bfc04d2d7e028812677628ebfcae013155eb

Observation 0b99bc2b-6838-43f5-89eb-936558aa3714 · outbound

This paper cites Example- based colourization via dense encoding pyramids.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Example- based colourization via dense encoding pyramids

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.355736Z

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=2026-08-11T14:37:55.419741Z digest=sha256:c9074fd654f080b78ddb721b061afa5f48ccb571a2af2869bf3bb800d018864c

Observation 9d7b1e57-574f-4a1f-93fa-10380ab27207 · outbound

This paper cites Manga filling style conversion with screentone varia- tional autoencoder.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Manga filling style conversion with screentone varia- tional autoencoder

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.334440Z

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=2026-08-11T14:37:55.426146Z digest=sha256:63feeba2dbfd4a0dd74f2d3035ab66137ae3506c2aaf21ec438a8a380496790a

Observation aabc5407-0059-4883-b2ef-69fd654eea28 · outbound

This paper cites Stylization-based architecture for fast deep exemplar colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Stylization-based architecture for fast deep exemplar colorization

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.307675Z

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=2026-08-11T14:37:55.431680Z digest=sha256:fbb31a13db066f48b221d8f9305e71bec93c608694e38e53a7ed676dbe68debc

Observation 99718a98-a842-4e6c-8d29-7798c47ddbd0 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.437598Z digest=sha256:13fc4128e261d18abc11ce73816b23a98f4c0761b656711029f6b33d41034d27

Observation cf2f82a8-8667-469f-81b1-08ab8a228a23 · outbound

This paper cites Yes,” attention is all you need”, for exemplar based colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Yes,” attention is all you need”, for exemplar based colorization

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.286197Z

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=2026-08-11T14:37:55.443840Z digest=sha256:90d41bf88f4a32621a38e03e562e0298468652c12862ea5ee91deb94536e95c0

Observation 3945b3f0-3524-4149-8b04-4dd99b77fb88 · outbound

This paper cites icolorit: Towards propagating local hints to the right region in interactive colorization by leveraging vision transformer.

ColorFlow: Retrieval-Augmented Image Sequence Colorization icolorit: Towards propagating local hints to the right region in interactive colorization by leveraging vision transformer

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.265265Z

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=2026-08-11T14:37:55.453160Z digest=sha256:9d89a1630c4f2e0ad1e47aca9a1d3e603c725b88a4c3b802245b886282cbc030

Observation 75846ba4-67a2-41bf-8a64-eba43349628d · outbound

This paper cites Diffusing colors: Image colorization with text guided diffusion.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Diffusing colors: Image colorization with text guided diffusion

Reference 76

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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.

source=pdf_text observed=2026-08-11T14:37:55.459120Z digest=sha256:4e43d8372603a77daa101ee9be57d26c31e8f3347302f084c858df188481d8b7

Observation 73daec45-dd12-4460-aba3-8fdbac29ee75 · outbound

This paper cites Scsnet: An efficient paradigm for learning simultaneously image colorization and super- resolution.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Scsnet: An efficient paradigm for learning simultaneously image colorization and super- resolution

Reference 77

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raw_fallback, observed 2026-08-11T14:37:56.226666Z

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=2026-08-11T14:37:55.464819Z digest=sha256:679ff0fb106181e0dce70a28f2205a01335cfef7a596791a9f7ddfc39492cdde

Observation 0a5532d0-496f-4576-a3ec-f28e3da86751 · outbound

This paper cites Two-stage sketch colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Two-stage sketch colorization

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.207652Z

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=2026-08-11T14:37:55.470448Z digest=sha256:dbb0d28e31ec43780416069b11283c03f52b01af7b1fee9d76c6af6ea48d8be6

Observation 8184416d-0103-4c46-aa8f-d79d6ef9d5b8 · outbound

This paper cites User-guided line art flat filling with split filling mechanism.

ColorFlow: Retrieval-Augmented Image Sequence Colorization User-guided line art flat filling with split filling mechanism

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.475563Z digest=sha256:da7945d98c26989c98c881b8fbe811ba478b9d254387c510c1da143a018621db

Observation 8a538ff7-a22a-4bfb-81f3-80e15f6dec9a · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Adding conditional control to text-to-image diffusion models

Reference 80

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raw_fallback, observed 2026-08-11T14:37:56.171223Z

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=2026-08-11T14:37:55.484618Z digest=sha256:eceaea55641667ddb325d25b27f3fba94bcddffbedcc0ff725753d0981ed64cf

Observation d98f6a8e-d80e-4f7e-9149-790f7a84fb17 · outbound

This paper cites Line art correlation matching feature transfer network for automatic animation colorization.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Line art correlation matching feature transfer network for automatic animation colorization

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.490690Z digest=sha256:ef92b8ec03dd1f3931171eac8cbb9672e019f278f375ed340416c42988b3d4df

Observation e6689300-2e41-4921-b137-29e49779fa22 · outbound

This paper cites Real-Time User-Guided Image Colorization with Learned Deep Priors.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Real-Time User-Guided Image Colorization with Learned Deep Priors

Reference 82

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no resolver link, observed 2026-08-11T14:37:55.496320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.496320Z digest=sha256:f7d70e16c169460c609edd7184ccb26ed82591cf780cd37e872b646826f8a84e

Observation ca1cb7f4-19bb-4bc7-a155-31a0c401c1c2 · outbound

This paper cites Uni-controlnet: All-in-one control to text-to-image diffusion models.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Uni-controlnet: All-in-one control to text-to-image diffusion models

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.139546Z

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=2026-08-11T14:37:55.504841Z digest=sha256:50e7c13439625d002bfd43b2ab73018d2cadca284c1c6b8992d1e639b5b5e9b8

Observation 76c40b1b-9175-45c3-ba06-adc119df7586 · outbound

This paper cites A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting.

ColorFlow: Retrieval-Augmented Image Sequence Colorization A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

Reference 84

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no resolver link, observed 2026-08-11T14:37:55.512241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:37:55.512241Z digest=sha256:b6071ee3fbaebcfb4cccbdf16f1175981ef5dc040c509df592b707828d82ef5c

Observation 21b6323a-a02e-4e7f-b141-139fee93e7bc · outbound

This paper cites Language-based colorization of scene sketches.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Language-based colorization of scene sketches

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.121298Z

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=2026-08-11T14:37:55.518143Z digest=sha256:9f18c46aa0ece8289b0cc07ad3998d0fd58b90b461d90e966a3277f0de264885

Observation 98d160d0-ff87-4079-81fa-3f18cf1ec955 · outbound

This paper cites Lightweight deep exemplar colorization via semantic attention-guided laplacian pyramid.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Lightweight deep exemplar colorization via semantic attention-guided laplacian pyramid

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.102129Z

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=2026-08-11T14:37:55.524026Z digest=sha256:f08024658209ebfe3a2a50e235696c0c12103fa19ff41c8803c3d9ac9d57e6de

Observation 83bf218f-e342-441f-8553-6e1a908049f0 · outbound

This paper cites Fig.10, 11, 12, and 13 demonstrate ColorFlow’s performance on black-and-white manga, line art, anima- tion storyboards, and grayscale natural scenes, respectively.

ColorFlow: Retrieval-Augmented Image Sequence Colorization Fig.10, 11, 12, and 13 demonstrate ColorFlow’s performance on black-and-white manga, line art, anima- tion storyboards, and grayscale natural scenes, respectively

Reference 87

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raw_fallback, observed 2026-08-11T14:37:56.082570Z

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=2026-08-11T14:37:55.528827Z digest=sha256:01d56ae265aead27a8f191e8b952531106c92096c9703e5b81af1b1c97cc0224

Observation a5616469-c743-4608-b4af-9aeafaf75cdc · outbound

This paper cites A t-SNE visualization of the CLIP em- beddings shows that images of the same character clus- ter together (see Figure 9).

ColorFlow: Retrieval-Augmented Image Sequence Colorization A t-SNE visualization of the CLIP em- beddings shows that images of the same character clus- ter together (see Figure 9)

Reference 88

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verified fuzzy
raw_fallback, observed 2026-08-11T14:37:56.055929Z

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=2026-08-11T14:37:55.533039Z digest=sha256:b2c07513ec1d4dc4272711a2a9758841a012c94c942c9e5a3a16215b8210461e

Observation 299df005-8885-4fa4-aa82-81e53a1a0370 · outbound

This paper cites First, ColorFlow’s performance heavily relies on the quality of images in reference pool.

ColorFlow: Retrieval-Augmented Image Sequence Colorization First, ColorFlow’s performance heavily relies on the quality of images in reference pool

Reference 89

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raw_fallback, observed 2026-08-11T14:37:56.026222Z

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=2026-08-11T14:37:55.537626Z digest=sha256:ae1091d60e67d5ea9d8102a2de0a808c0a2dffc405322b89019cdb197be32011

Observation 3cdbc2e8-c828-443c-8629-f1186ffa5cc8 · outbound

This paper cites We address the limitation in this section.

ColorFlow: Retrieval-Augmented Image Sequence Colorization We address the limitation in this section

Reference 90

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raw_fallback, observed 2026-08-11T14:37:56.005841Z

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=2026-08-11T14:37:55.542710Z digest=sha256:6264a1fda93f6f0edf0292d7b5fafb8297fd9a22f0cbf3ae5a0dd9e82e97d640

Pith citing papers

Observation e5f04d98-defe-4ecb-8101-0c3b417433ec · inbound

SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisation cites this paper.

SketchDeco: Training-Free Latent Composition for Precise Sketch Colourisation ColorFlow: Retrieval-Augmented Image Sequence Colorization

Reference 90

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arxiv_id, observed 2026-05-24T01:03:41.354959Z

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=2026-05-24T01:00:45.571273Z digest=sha256:f335a183582e6ed6fb6f416710e6085bf0148ee2f49e98979136b75bd5e33710

Observation c69b670a-9640-4adf-b199-12d401c7f5d4 · inbound

ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing cites this paper.

ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing ColorFlow: Retrieval-Augmented Image Sequence Colorization

Reference 40

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no resolver link, observed 2026-08-05T20:17:30.414993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:17:30.414993Z digest=sha256:c730c22836f56816e1f7b6a0f6ab1eab13cc007f31c567e1c10863db4ae87a45

Observation 05037380-687e-4b95-8f2e-fbdc2bd44066 · inbound

Fuel Consumption in Platoons: A Literature Review cites this paper.

Fuel Consumption in Platoons: A Literature Review ColorFlow: Retrieval-Augmented Image Sequence Colorization

Reference 40

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no resolver link, observed 2026-08-05T20:15:54.255859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:15:54.255859Z digest=sha256:d1c8497f2cc4075988a4dfa5560c74ef5812e328cca2c8cba701079a72bb016c

Observation f097a609-7b8b-458a-922a-e6b8fb7312fa · inbound

Meta-CoT: Enhancing Granularity and Generalization in Image Editing cites this paper.

Meta-CoT: Enhancing Granularity and Generalization in Image Editing ColorFlow: Retrieval-Augmented Image Sequence Colorization

Reference 87

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verified exact
arxiv_id, observed 2026-05-11T21:41:19.148799Z

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=2026-05-08T04:30:28.636915Z digest=sha256:e107cd33e3954bfca2e1ca0ab9f4bf752570b17c509331447ab738fb5d094fa5

Observation ee368d4c-5985-47ab-8597-6bea34248538 · inbound

PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos cites this paper.

PeCA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos ColorFlow: Retrieval-Augmented Image Sequence Colorization

Reference 67

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no resolver link, observed 2026-08-06T00:47:40.731060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:47:40.731060Z digest=sha256:947dc097d810347ad086d014ccc45c89f9e662b377aa061080bb651a1b5655b3