Paper Citation Record · LEDGER

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2508.03241.

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

pith.paper-citation-record.v1
2508.03241 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:38:56.145487Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:56.986125Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T02:25:54.375152Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy47
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6321873-9ba6-49e6-b2ec-8a05dace0996 · outbound

This paper cites Examples-rules guided deep neural network for makeup rec- ommendation.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Examples-rules guided deep neural network for makeup rec- ommendation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:08.287347Z

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Observation 1b3d24ca-7d9d-4a07-a1da-1ab6d731a302 · outbound

This paper cites Examples-Rules guided deep neural network for makeup recommendation.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Examples-Rules guided deep neural network for makeup recommendation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:07.926183Z

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Observation e297caac-2e3d-4a4f-8c50-31e152efff0b · outbound

This paper cites Geneavatar: Generic expression-aware vol- umetric head avatar editing from a single image.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Geneavatar: Generic expression-aware vol- umetric head avatar editing from a single image

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:07.549879Z

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Observation e226b65d-740c-4f7b-9d07-8ab55ebf105d · outbound

This paper cites A morphable model for the synthesis of 3D faces.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles A morphable model for the synthesis of 3D faces

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:07.234330Z

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Observation c1269933-a503-4908-be9a-8e9463ffd6ae · outbound

This paper cites LEDITS++: limitless image editing us- ing text-to-image models.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles LEDITS++: limitless image editing us- ing text-to-image models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:06.865344Z

Source-reported events for the cited work

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Observation f9e02a73-978d-4e10-9829-ffd1f8c523e8 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Emerg- ing properties in self-supervised vision transformers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:06.505252Z

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Observation 584567a8-2e1d-46fc-8275-d32aafb6ed46 · outbound

This paper cites Auto- matic facial makeup detection with application in face recog- nition.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Auto- matic facial makeup detection with application in face recog- nition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:06.138447Z

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Observation 051848f2-6a3b-453b-aaea-e2197fd6e2e6 · outbound

This paper cites Spoofing faces using makeup: An investigative study.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Spoofing faces using makeup: An investigative study

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:05.775583Z

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Observation 7f764ec0-b511-4d59-aaf0-5ea046d54f22 · outbound

This paper cites BeautyGlow: On- demand makeup transfer framework with reversible genera- tive network.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles BeautyGlow: On- demand makeup transfer framework with reversible genera- tive network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:05.429870Z

Source-reported events for the cited work

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Observation 56db7abc-118f-4c9f-adcc-4d3329ca0e62 · outbound

This paper cites Can facial cosmetics affect the matching accuracy of face recognition systems? In BTAS, 2012, pages 391–398, 2012.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Can facial cosmetics affect the matching accuracy of face recognition systems? In BTAS, 2012, pages 391–398, 2012

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:05.051496Z

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Observation aaa62887-26c5-4195-8c47-9f6a74847cf2 · outbound

This paper cites Spatially-invariant style-codes controlled makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Spatially-invariant style-codes controlled makeup transfer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:04.672921Z

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Observation 06a3813c-df67-4c93-ba42-13db613093e5 · outbound

This paper cites ArcFace: Additive angular margin loss for deep face recognition.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles ArcFace: Additive angular margin loss for deep face recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:04.248155Z

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Observation a25b7377-31a6-4544-8eed-ab6eb0df178b · outbound

This paper cites DiffusionRig: Learning personalized priors for facial appearance editing.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles DiffusionRig: Learning personalized priors for facial appearance editing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:03.939787Z

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Observation 53e1387f-d6b7-42ff-a1b3-1d877eca1360 · outbound

This paper cites an unresolved cited work.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:39:03.577529Z

Source-reported events for the cited work

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Observation a5658a76-07c7-48ca-9dd4-cc3b0abd14ab · outbound

This paper cites LADN: Local adversarial disentangling network for facial makeup and de-makeup.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles LADN: Local adversarial disentangling network for facial makeup and de-makeup

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:03.306213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 036dd729-3563-44fb-b12b-eac31f146121 · outbound

This paper cites Denoising diffu- sion probabilistic models.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Denoising diffu- sion probabilistic models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:03.022841Z

Source-reported events for the cited work

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Observation e79d138b-b55a-47b2-b384-70f9f68ecf75 · outbound

This paper cites Makeup- robust face verification.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Makeup- robust face verification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:02.831682Z

Source-reported events for the cited work

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Observation fcbc9667-7a4e-478f-a8d0-7b8ca98f5c79 · outbound

This paper cites Protecting facial pri- vacy: Generating adversarial identity masks via style-robust makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Protecting facial pri- vacy: Generating adversarial identity masks via style-robust makeup transfer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:02.686489Z

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Observation 39c67b7a-2e2a-4805-808a-468bd48c4c41 · outbound

This paper cites GPT-4o System Card.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles GPT-4o System Card

Reference 19

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Source-reported events for the cited work

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Observation a7725ef4-d20b-4174-8dc5-57bb213887d0 · outbound

This paper cites Controlface: Harnessing facial parametric control for face rigging.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Controlface: Harnessing facial parametric control for face rigging

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:02.524093Z

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Observation 374eb94a-8078-4d95-9e77-a1040e9b4d31 · outbound

This paper cites PSGAN: Pose and expression robust spatial-aware GAN for customizable makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles PSGAN: Pose and expression robust spatial-aware GAN for customizable makeup transfer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:02.341998Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9918f7ec-8c3e-4467-90a3-5f24228ad567 · outbound

This paper cites To- ward Tiny and High-Quality Facial Makeup with Data Am- plify Learning.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles To- ward Tiny and High-Quality Facial Makeup with Data Am- plify Learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:02.204916Z

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Observation 7d47e306-0768-4a51-8152-9635e9b504eb · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles A style-based generator architecture for generative adversarial networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:02.090013Z

Source-reported events for the cited work

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Observation 6931024f-c6ef-4122-91c5-0e6a697acc8c · outbound

This paper cites Black, Hao Li, and Javier Romero.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Black, Hao Li, and Javier Romero

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:01.947030Z

Source-reported events for the cited work

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Observation afad4f1d-0b3a-4d65-a09f-3f9fb98cec07 · outbound

This paper cites BeautyGAN: Instance-level fa- cial makeup transfer with deep generative adversarial net- work.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles BeautyGAN: Instance-level fa- cial makeup transfer with deep generative adversarial net- work

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:01.787397Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e2463a53-ac98-4147-9173-e8060d2f3b93 · outbound

This paper cites Anti-Makeup: Learning A bi-level adversarial network for makeup-invariant face verification.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Anti-Makeup: Learning A bi-level adversarial network for makeup-invariant face verification

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:01.640034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12600b9a-40a1-4fe1-93e2-ffddadede906 · outbound

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

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Photomaker: Customizing re- alistic human photos via stacked ID embedding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:01.449993Z

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Observation cefc14b7-a9b0-4071-81e6-77ff267bd640 · outbound

This paper cites Face beautification: Beyond makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Face beautification: Beyond makeup transfer

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:01.318199Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84b5a114-325a-4a89-837a-69e28cb0377d · outbound

This paper cites BeautyBank: Encoding facial makeup in latent space.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles BeautyBank: Encoding facial makeup in latent space

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:01.178774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abd1492b-b6ab-46d8-af55-b3c4d1b000a6 · outbound

This paper cites SOGAN: 3D-aware shadow and occlusion robust GAN for makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles SOGAN: 3D-aware shadow and occlusion robust GAN for makeup transfer

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:01.018446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64de7c47-e308-4c40-b9a3-61dc0014fc77 · outbound

This paper cites Lipstick ain’t enough: Beyond color matching for in-the-wild makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Lipstick ain’t enough: Beyond color matching for in-the-wild makeup transfer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:00.881337Z

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Observation 4eaab07f-d110-4f49-8df6-5622174eef45 · outbound

This paper cites DiFaReli: Diffusion face relighting.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles DiFaReli: Diffusion face relighting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:00.741570Z

Source-reported events for the cited work

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Observation 8370ca58-7bf0-4288-952d-e8d941694a58 · outbound

This paper cites Learning transferable visual models from natural language supervision.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Learning transferable visual models from natural language supervision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:00.577567Z

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Observation f03e3003-c2e3-4701-91bd-e0592f2b5afa · outbound

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

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles High-Resolution image synthesis with latent diffusion models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:00.450875Z

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Observation aa863b13-46b7-4537-8411-3a8a8fa47486 · outbound

This paper cites Data augmentation-assisted makeup-invariant face recognition.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Data augmentation-assisted makeup-invariant face recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:00.319395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ba903d69-297a-467f-834e-0b128b42d551 · outbound

This paper cites SSAT: A symmetric semantic-aware transformer network for makeup transfer and removal.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles SSAT: A symmetric semantic-aware transformer network for makeup transfer and removal

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:39:00.159545Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6108dfc7-8941-4bc2-8bf4-248d2be82526 · outbound

This paper cites SHMT: Self- supervised hierarchical makeup transfer via latent diffusion models.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles SHMT: Self- supervised hierarchical makeup transfer via latent diffusion models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:59.975008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 632d5713-10d6-4d82-beb8-66b3bd90e93c · outbound

This paper cites Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:59.859137Z

Source-reported events for the cited work

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Observation 23e70bcd-de59-485d-9a49-c6472da0ce2b · outbound

This paper cites LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T04:38:54.140408Z

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Observation 6582dee5-d127-4734-bb0b-b73ec93a653f · outbound

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

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T04:38:54.259215Z

Source-reported events for the cited work

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Observation e3fcb39c-7c86-4d77-88a1-dd7075cff013 · outbound

This paper cites Fm2u-net: Face morphological multi-branch network for makeup-invariant face verification.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Fm2u-net: Face morphological multi-branch network for makeup-invariant face verification

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:59.687159Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dccf034a-ab29-49c4-8cb8-d7772357aeae · outbound

This paper cites Beauty3dfacenet: Deep geometry and texture fusion for 3d facial attractiveness prediction.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Beauty3dfacenet: Deep geometry and texture fusion for 3d facial attractiveness prediction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:59.324007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45299c3e-d9e8-416b-9e7e-c82a85cc6a0e · outbound

This paper cites BeautyREC: Robust, ef- ficient, and component-specific makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles BeautyREC: Robust, ef- ficient, and component-specific makeup transfer

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:58.958541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 51338ed5-ed17-4c46-948d-9790db59d6e9 · outbound

This paper cites EleGANt: Exquisite and locally editable GAN for makeup transfer.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles EleGANt: Exquisite and locally editable GAN for makeup transfer

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:58.719433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e7a7ade-0b3b-4956-9e81-19e718889e96 · outbound

This paper cites BareSkinNet: De- makeup and De-lighting via 3D Face Reconstruction.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles BareSkinNet: De- makeup and De-lighting via 3D Face Reconstruction

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:58.427843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3eefaa16-b601-44aa-83c9-32539b1207c5 · outbound

This paper cites Makeup extraction of 3D representation via illumination-aware image decomposition.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Makeup extraction of 3D representation via illumination-aware image decomposition

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:58.091780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85b68122-a005-43b0-89bd-913e608edb1b · outbound

This paper cites Makeup prior models for 3D facial makeup estimation and applications.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Makeup prior models for 3D facial makeup estimation and applications

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:57.759139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09655f1a-abc3-4f41-8ba5-3eee7d888643 · outbound

This paper cites Freeuv: Ground-Truth-Free realistic facial UV texture recovery via cross-assembly inference strategy.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Freeuv: Ground-Truth-Free realistic facial UV texture recovery via cross-assembly inference strategy

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:57.510166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a2a6f50-f1c6-4897-bc7f-e1c7b53d418a · outbound

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

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T04:38:55.446903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9af81dbb-fb36-4714-bc80-446ec2f56dae · outbound

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

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Adding conditional control to text-to-image diffusion models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:57.234056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4cafd06f-d2bf-4beb-b2eb-fce4e568cb4a · outbound

This paper cites Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T04:38:55.788254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e09b3e8-bb7a-4426-8f2d-ed4d544e0cc1 · outbound

This paper cites DiffSwap: High-Fidelity and Con- trollable Face Swapping via 3D-Aware Masked Diffusion.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles DiffSwap: High-Fidelity and Con- trollable Face Swapping via 3D-Aware Masked Diffusion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:56.869443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b710d28-7569-43ce-bd3c-3261a52ac70f · outbound

This paper cites State of the art on monocular 3D face reconstruction, tracking, and applica- tions.

FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles State of the art on monocular 3D face reconstruction, tracking, and applica- tions

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:38:56.544251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation ffc6121e-7f9a-47ec-8e94-f953cbb79e51 · inbound

From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data cites this paper.

From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:25:54.378455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d56a050-95b5-460d-9512-2e6e410567ea · inbound

From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data cites this paper.

From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T14:38:56.986125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.