Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.009041Z digest=sha256:6a87a0b0c5e4d6f4ffcdeaab1b1d9225e09127ecbd36ac19d313f8553ee8315e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.085466Z digest=sha256:4d6fef3c05322923ab83054cab666836843c7e5410e580e05df474c33da3f98c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.198377Z digest=sha256:8d30aab29830d1ac89e6fed15c80d9ec2241d461bc0529c452a021f276e0e1c0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.262043Z digest=sha256:04f993ea83dd0d36b12ec5d4d3ad3d0486d868d311ae836eddd43770efe8dfc8

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.321014Z digest=sha256:a74da198093f531c73fd4461de71882ca1cee87fffa4c841ccef8ca705b1382a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.395294Z digest=sha256:a04534fdff06f98e5ae0901d49cf6832c28ad7a6249bd79a82b3daaaef169c6c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.456834Z digest=sha256:98a5e5c8e2aa852375c979e276638a3a3975779838ea1644617d1d68250563f3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.526758Z digest=sha256:8da6d94afb9282851d0b2491cea88d657d9df7e5c8c2aec57ac4d166263f1b01

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.581595Z digest=sha256:2ed387229ddf7b8219c92a3fded573c64d1ee1ba7dd64b3c14efbf70e45e876b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.682059Z digest=sha256:93d9ee45ee741e344fdb515eca2cee68ef5d15e2ef3e7010a35edaa9b26954b8

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.849176Z digest=sha256:5c430e5b932ac135cb09bbf3d7b64605272d6166693dfe26fe1c391799e14413

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:50.935817Z digest=sha256:f9bb06da5b5f4d07c1d81cc1bc8dbec8fcfc8681f740a57351937d41bd97732b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:51.069846Z digest=sha256:a7d9750c24f80ea4e8e239d94b6b70298415c11edd4f37cad556f0286c8eab0e

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:51.181476Z digest=sha256:eec1c8d080b70e6703de91207d9c2cffeeb0a1ded1d6899e35edd2463bebf2ca

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:51.293548Z digest=sha256:71450071a1061eb9cefab6ba7e895fdc060d15ddeaf5ba65fbe0e7f01325ea77

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:51.384555Z digest=sha256:5c551abc24697b9f0def8b06ee7e1c69608fe00e1ab89bb452a069e1bbe9f0b3

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:51.506089Z digest=sha256:54800d8aa6824aa58c31a57c62823ca93dd2c7d40e5d62a62ae0aedf08cfc1ab

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:51.649798Z digest=sha256:34737b4f5c717b240f7c5bc4b268dcc3629da9b0fdeeaf3fd1d7bf1970b7cfa4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T04:38:51.801998Z

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:51.919653Z digest=sha256:2b950f6852011a591e3127d93ca22d058cab24655408008b4aee383df0f6a4d6

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.018243Z digest=sha256:0d02578ef505c1a4d10223fd4790b2015fdfe912cd0ece20bed2573c1697b2ec

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.130640Z digest=sha256:ebb05a18119c5887e27bbea8626ef57e0ceb355ae9641d5e801c94643d95a79a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.282051Z digest=sha256:db8527c19f487801653aaf0aa544adf257d1051c9e40ee74a87ed9d73efbe8a9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.419734Z digest=sha256:3edccdf15be63d43c8dbfd7ded6a1fe943f2a5fd9b6c0e272b04c15df98e4fe4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.524939Z digest=sha256:dd048c995bbafa3137ef8ca96677debb1052bc4d34500454ce312da219e6c312

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.643607Z digest=sha256:558abebb7585df7549dc72fa2c859694e5acdb2f1d04891cb31016a592275ce1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.745295Z digest=sha256:c665a290a57e57dfad3d85c90e8337ba571ba806de43e478d97d8a8081e4589e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.897758Z digest=sha256:245438f361284372cfafeedf56035374b34f6a552ecb0fef85facf04afbd2e0a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:52.987179Z digest=sha256:3fb74269985cf442eb0e3510bf5df77ef14c70e0c4eab2d01ea1d0abd9381053

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.113843Z digest=sha256:8c84ff66f704acdeccfba30bf1c2d41d27cf0a10415a1f4f22d7643db90044fd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.170780Z digest=sha256:3209d25f6105c23960ffe8d87f483b6c44135a0b67c8b28d0c7427048336ba55

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.258788Z digest=sha256:bd724d86e68fdabf7cb9394cc74baa9fe2a08251bbe4d485a9e14d9ebdd64e98

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.389448Z digest=sha256:e728f582569f4eef295054313e934a6af1ce0adcecca51e85c9cee6efb78652d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.494935Z digest=sha256:7e727a976994158e8a113a5cf35e4a5924730ede4ea46c5a1415b31b63bdab78

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.646241Z digest=sha256:2b033e0c6c10170bac0b31e16c4b94c8ec1e8fc65b36ab57f5601ee3d066c5ec

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.795313Z digest=sha256:e736a49bd83d93b0f78e9ca9b31a3dcb3b823536172a3c744be9c5d13f7c1107

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:53.933657Z digest=sha256:9b4b84a7eadaacffe696fe55d746b571292bd07789eec5f35224ce2193ba55e8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:54.051845Z digest=sha256:e32af4b722812b445f74b7767e59e75fa8c6977cac39425a82528b863ee2dd75

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:54.380166Z digest=sha256:7cf4c19dfe5852e9f94abe3981bc2e3a431b42d6498e1562c7ab3376f3ad8c5a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:54.500569Z digest=sha256:d447241847a4e10b78cf5ac66d0b48ede7ec6e82364623138eeadca7de8bc6d2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:54.647815Z digest=sha256:3372ec164a5aa11b49b8e1707a9973c293fa080ce4441a5058c5aca67f2adb02

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:54.791962Z digest=sha256:3811d56b9427725e016e9f92dfae21f646a167f63873455bd6ba1f6f539da4ba

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:54.929907Z digest=sha256:9a95662117684c42b70c8f599b8af234878a6ef0687dc18df5777f2276145895

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:55.048627Z digest=sha256:1eb28c43611369eb32dc930af1033063689f182dbd5fb3e82e71fedbd21cab7c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:55.190819Z digest=sha256:bcc3c98c359173c02c582efcacc8b893f96fcb9605f162fff44b015e0b677c9d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:55.318218Z digest=sha256:7a4a732c2eb36aa4ecca3ca7db1f082bcf649a5c85d90187c45aef331ccd7076

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:55.630898Z digest=sha256:433f422de5d531e76d53aec8055ec60ceed9410d47302239ee2074594fff53ba

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:55.996981Z digest=sha256:1ccf4fd2726ec61a17013e2100b39b701e00c402bc43655274e39c17db7c8228

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T04:38:56.145487Z digest=sha256:ec87cd4345b7e006ace3b4fdecd15df9e5aebbd09356b01cf276f2c55320d766

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T02:22:55.682373Z digest=sha256:409669062707dfde99b06ad58f1e1698079c24b1a4c0901d1590817a59af8125

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