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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:50.262043Z digest=sha256:50a5f01365584f43582dc0dff0b1b266730b729a710290ed4fb701e37e4ae552

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:50.395294Z digest=sha256:11f966d8155d58e2c2b5352a878e92c1c2b4cf7265268a0f3cd2c73f9f7f4608

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:50.456834Z digest=sha256:a6b7ae4d92225f8289fdfea1fcf55f10a7110b0223bd679dbed6696c43e24c85

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:50.526758Z digest=sha256:daf0f5b8dfeffe4cfaa09b2175f8c06fb09d50aeae75977d62524b8d9b2be2d8

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:50.849176Z digest=sha256:bfda533f484b5d8373edc5c1488334b04511793d2bf61596aa4165d9baef3b13

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:51.069846Z digest=sha256:7f2f920524391274e7ce5261f5550490b81b01aa51b6984e8a7a8d2185020006

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

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:51.293548Z digest=sha256:91d771d1fa09d762849428da8c851decbec15ef2e574348869e034a992ef9116

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:51.384555Z digest=sha256:90c7783b03014bae360b6c013e9aa9f6e3913379bc4e3e5062094f870915b543

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:51.649798Z digest=sha256:047a623bebd10374a610390fa486ea0781b0fe48a7882d75de886d0152e8642f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:38:51.801998Z digest=sha256:75610cf7585c50195cc1ef4763ecf0300ca747b34545fc376a22af1d7cdd0376

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:51.919653Z digest=sha256:d6e6d2e06e29680249f4e26e26648ba389430535d0caaf9dd957c791a85a979b

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
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raw_fallback, observed 2026-08-06T04:39:02.341998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:52.282051Z digest=sha256:1275cc52a8ec8f8826cf1eaa485961cb6a1dce3dea1706be2b46f970960cf178

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:52.524939Z digest=sha256:2d54f19eba29611a3d90f066b689ce97a8e3582264d0c3405ed30866c5430d30

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:52.643607Z digest=sha256:b65aa8704edac51abac087ad9d38466889b8f2ff3a294f89cf2c8582a19294e9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:52.745295Z digest=sha256:8e7002cdd0fb78c7c3666d246b16636a6c12779c82e31a95b23664de802f6a81

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:52.897758Z digest=sha256:22a4fa0585fc71d96f2f2eb62d50eb89a4905f416b2f18545df23c662ffe3764

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:52.987179Z digest=sha256:40e68f800cff625c370d12e345f9121e3e641b0136a9fdee53509cca44c7c4d7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.113843Z digest=sha256:5d5c2dea43116fe913f5e9e5659884f8cc8546df18b8109658a7849b11432c6a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.170780Z digest=sha256:9e4452f26a19a9da51ab05d43912f42a1fea51f979d30ad8835549008123f827

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.258788Z digest=sha256:fa6b048b75cc11c535ab7aa95013d008f16021e06e098045791c18b63aa20f2b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.389448Z digest=sha256:5d79eff1b3f47475ef8071c4172e00be99ee0ae10699ac83c19f90fa0b337a0d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.494935Z digest=sha256:3140fc28d0ba427496345adf0e05be3e8d9a5412688ca26323828af348494161

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.646241Z digest=sha256:edb7d7bc4886925330723b03bfe9b990ff22b3ae5c26b1d0965e18413c6de0c2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.795313Z digest=sha256:c2ed3d75513ce4be9bc02218452b9cc15e03a99a845146b219d25d52885a7b5e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:53.933657Z digest=sha256:30294e3bd65023fc12ff4f2cd4b6eb41bd6d434289671c8a89ad360f2d76b3fa

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:54.051845Z digest=sha256:f156c183d1f052c9a4b7cc8e4a0132864b6d75b6def7a62c93768b9a15ae3927

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:38:54.140408Z digest=sha256:fb7de1751a7780883f94128903487f15827417d0b150b5671834cdf1f02142b5

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:38:54.259215Z digest=sha256:41e0f939c18e8cf7135471fe9fbac094bbbba7f7cba4900dc755711fd9d4ef93

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:54.380166Z digest=sha256:caf91bae148490b5f81df4a72d39feb6ff698ecdfd0b0834f4cc356ef419172e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:54.500569Z digest=sha256:c49bf141afc405b13432b6363a7dd1eaabacdef23fbcc79db7cf1c09ad12370e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:54.647815Z digest=sha256:70dfb826c9e4acb184d7788a81659cb92a015fa58d38852325e90e5345fbc3a4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:54.791962Z digest=sha256:6dc7a234e92cd096fb9acc04b7a1cdce5b585006bf6c0b9dc5eb626d0b983b39

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:54.929907Z digest=sha256:0cece04a25ad639035639df048309dbe60fe91e7ab0d6d73e17db3c9bce970ad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:55.048627Z digest=sha256:44a7becca5b261cdfcdb263766276de162bcb0b8117dfb92279005d4321e5bf5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:55.190819Z digest=sha256:0821c74e2ffa8161df4094a25a118beade4ad7e64743c0005cb429345f5a3dec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:55.318218Z digest=sha256:81a069b4966059c2e9de39040a5b4e28c696e82d807e7b6ddd339e24ba70ea76

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.

source=pdf_text observed=2026-08-06T04:38:55.446903Z digest=sha256:b6e0cd79b5d9fe00c6245b1e2824c8421abba1f25e09810051abfb187a3b7534

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:55.630898Z digest=sha256:7e2bce85198cedea714ffcf49ce78463b427d38e024033d8cb1f1006ca02f766

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.

source=pdf_text observed=2026-08-06T04:38:55.788254Z digest=sha256:53f344d0c34e0d39667a495ad1f488d5478e170d4cc50658e9d12d49b9ccfba5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:55.996981Z digest=sha256:95fd9a676422ad787a2bc0b35960b59b8b51fa3994088ee7d50bc9bd6e9147ab

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T04:38:56.145487Z digest=sha256:148f4648d8c1cb3d309ae09c6368cad08ae4b0fc099c625586e0664055753fce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T02:22:55.682373Z digest=sha256:50e9072feafbdb72119200fc95f6e4628592db63652b7416befec7869331ad5f

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.

source=pdf_text observed=2026-08-02T14:38:56.986125Z digest=sha256:da669728fc6ba5a9a0a50c7d5df84613ff333f6540678af6692671ca70de1295