Paper Citation Record · LEDGER

FSGAN: Subject Agnostic Face Swapping and Reenactment

As of 16 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:1908.05932.

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

pith.paper-citation-record.v1
1908.05932 v1

Coverage vector

measured 52 of 52 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 7cc3ed47-3b93-4389-abb9-09fdaa29d559 · outbound

This paper cites Creating a photoreal digital actor: The digital emily project.

FSGAN: Subject Agnostic Face Swapping and Reenactment Creating a photoreal digital actor: The digital emily project

Reference 1

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Observation be56ea4d-1fe1-41aa-9dfc-ccd339cde9e5 · outbound

This paper cites Wasserstein GAN.

FSGAN: Subject Agnostic Face Swapping and Reenactment Wasserstein GAN

Reference 2

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Observation 325361ac-488a-4a3d-9051-ed607df38409 · outbound

This paper cites Bringing portraits to life.

FSGAN: Subject Agnostic Face Swapping and Reenactment Bringing portraits to life

Reference 3

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Observation bcf901d2-2e2c-473d-9902-182dc533f5d8 · outbound

This paper cites Face swapping: automatically replacing faces in photographs.

FSGAN: Subject Agnostic Face Swapping and Reenactment Face swapping: automatically replacing faces in photographs

Reference 4

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Observation 768c79b6-53b4-4a50-a71f-6dabb18abc38 · outbound

This paper cites Face identiﬁcation across different poses and illuminations with a 3d morphable model.

FSGAN: Subject Agnostic Face Swapping and Reenactment Face identiﬁcation across different poses and illuminations with a 3d morphable model

Reference 5

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Observation d205b404-3162-4031-9956-2dccdb651741 · outbound

This paper cites Exchanging faces in images.

FSGAN: Subject Agnostic Face Swapping and Reenactment Exchanging faces in images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:19.075020Z

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Observation 6fb88d19-4b19-425d-a96c-c8d0f178c689 · outbound

This paper cites Face recognition based on ﬁtting a 3d morphable model.

FSGAN: Subject Agnostic Face Swapping and Reenactment Face recognition based on ﬁtting a 3d morphable model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:19.067139Z

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Observation de3d8c4c-2e5a-416a-96b2-ad3d8601d165 · outbound

This paper cites Robust face landmark estimation under occlusion.

FSGAN: Subject Agnostic Face Swapping and Reenactment Robust face landmark estimation under occlusion

Reference 8

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Observation 23b24060-171f-424e-815d-e819fe1a6527 · outbound

This paper cites Vggface2: A dataset for recognising faces across pose and age.

FSGAN: Subject Agnostic Face Swapping and Reenactment Vggface2: A dataset for recognising faces across pose and age

Reference 9

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Observation 798ff250-da3e-45e0-bd03-b2cf49ac3045 · outbound

This paper cites FacePoseNet: Making a case for landmark-free face alignment.

FSGAN: Subject Agnostic Face Swapping and Reenactment FacePoseNet: Making a case for landmark-free face alignment

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:19.040557Z

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Observation 2e10938b-154e-4972-8c83-8e64e3a4a911 · outbound

This paper cites Deep, landmark-free fame: Face alignment, modeling, and expression estimation.

FSGAN: Subject Agnostic Face Swapping and Reenactment Deep, landmark-free fame: Face alignment, modeling, and expression estimation

Reference 11

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Observation 450afdc8-920f-453a-82bc-158ab31abb28 · outbound

This paper cites FaceSwap.

FSGAN: Subject Agnostic Face Swapping and Reenactment FaceSwap

Reference 12

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Observation 8bb3734e-9696-47f6-8d98-62ce65637429 · outbound

This paper cites Generative adversarial nets.

FSGAN: Subject Agnostic Face Swapping and Reenactment Generative adversarial nets

Reference 13

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Observation e95841d9-8739-4ae6-84cf-eb7e7096bf9f · outbound

This paper cites Effective face frontalization in unconstrained images.

FSGAN: Subject Agnostic Face Swapping and Reenactment Effective face frontalization in unconstrained images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:19.013575Z

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Observation bf8d6765-6060-4907-a0e7-50e2c0bc0231 · outbound

This paper cites Deep residual learning for image recognition.

FSGAN: Subject Agnostic Face Swapping and Reenactment Deep residual learning for image recognition

Reference 15

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Observation a0e725a3-2757-4771-8f0a-c9c99de3bad7 · outbound

This paper cites Computer graphics: principles and prac- tice.

FSGAN: Subject Agnostic Face Swapping and Reenactment Computer graphics: principles and prac- tice

Reference 16

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Observation 0a8166f0-aceb-4b7d-8e61-fa825510d360 · outbound

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

FSGAN: Subject Agnostic Face Swapping and Reenactment Image-to-image translation with conditional adver- sarial networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.989874Z

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Observation 285a5f71-6df7-46ae-982f-1e92ac9ba3bc · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

FSGAN: Subject Agnostic Face Swapping and Reenactment Perceptual losses for real-time style transfer and super-resolution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.981210Z

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Observation e5ab81f3-1c83-418c-bfa1-3eb9b6f4c579 · outbound

This paper cites Augmenting crfs with boltzmann machine shape pri- ors for image labeling.

FSGAN: Subject Agnostic Face Swapping and Reenactment Augmenting crfs with boltzmann machine shape pri- ors for image labeling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.972030Z

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Observation 864f9f8c-b406-43f5-8777-30d390149877 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

FSGAN: Subject Agnostic Face Swapping and Reenactment Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 20

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Observation dee9b428-d605-433a-9d45-2be445addbf2 · outbound

This paper cites Transﬁguring portraits.

FSGAN: Subject Agnostic Face Swapping and Reenactment Transﬁguring portraits

Reference 21

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Observation 1372a9b7-defc-4eb9-aae5-bc9b5ae324c0 · outbound

This paper cites Figure 8: Ablation study.

FSGAN: Subject Agnostic Face Swapping and Reenactment Figure 8: Ablation study

Reference 22

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FSGAN: Subject Agnostic Face Swapping and Reenactment Unresolved cited work

Reference 23

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Observation 498907e4-960a-4b8b-b99b-ea3156966cd2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FSGAN: Subject Agnostic Face Swapping and Reenactment Adam: A Method for Stochastic Optimization

Reference 24

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This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

FSGAN: Subject Agnostic Face Swapping and Reenactment Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 25

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Observation 9469cc2b-9416-42f2-91a3-0d7fceb77add · outbound

This paper cites Face swapping under large pose variations: A 3D model based approach.

FSGAN: Subject Agnostic Face Swapping and Reenactment Face swapping under large pose variations: A 3D model based approach

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.933475Z

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Observation 6e8b0b3d-1fcc-4e7a-a775-d8c963385644 · outbound

This paper cites Large-scale celebfaces attributes (celeba) dataset.

FSGAN: Subject Agnostic Face Swapping and Reenactment Large-scale celebfaces attributes (celeba) dataset

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.924129Z

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This paper cites Least squares generative adversarial networks.

FSGAN: Subject Agnostic Face Swapping and Reenactment Least squares generative adversarial networks

Reference 28

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This paper cites Face-speciﬁc data augmentation for un- constrained face recognition.

FSGAN: Subject Agnostic Face Swapping and Reenactment Face-speciﬁc data augmentation for un- constrained face recognition

Reference 29

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This paper cites Iarpa janus benchmark-c: Face dataset and protocol.

FSGAN: Subject Agnostic Face Swapping and Reenactment Iarpa janus benchmark-c: Face dataset and protocol

Reference 30

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Observation 4c7ee0ab-e932-47e8-a2c1-275106542373 · outbound

This paper cites Conditional Generative Adversarial Nets.

FSGAN: Subject Agnostic Face Swapping and Reenactment Conditional Generative Adversarial Nets

Reference 31

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This paper cites Pho- torealistic face de-identiﬁcation by aggregating donors face components.

FSGAN: Subject Agnostic Face Swapping and Reenactment Pho- torealistic face de-identiﬁcation by aggregating donors face components

Reference 32

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This paper cites Fsnet: An identity-aware generative model for image-based face swapping.

FSGAN: Subject Agnostic Face Swapping and Reenactment Fsnet: An identity-aware generative model for image-based face swapping

Reference 33

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Observation 83319e3a-80ec-4485-9331-da678c54be63 · outbound

This paper cites RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces.

FSGAN: Subject Agnostic Face Swapping and Reenactment RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces

Reference 34

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This paper cites On face segmentation, face swapping, and face perception.

FSGAN: Subject Agnostic Face Swapping and Reenactment On face segmentation, face swapping, and face perception

Reference 35

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This paper cites Pois- son image editing.

FSGAN: Subject Agnostic Face Swapping and Reenactment Pois- son image editing

Reference 36

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This paper cites Ganimation: Anatomically-aware facial animation from a single image.

FSGAN: Subject Agnostic Face Swapping and Reenactment Ganimation: Anatomically-aware facial animation from a single image

Reference 37

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This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

FSGAN: Subject Agnostic Face Swapping and Reenactment U- net: Convolutional networks for biomedical image segmen- tation

Reference 38

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This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

FSGAN: Subject Agnostic Face Swapping and Reenactment Faceforen- sics++: Learning to detect manipulated facial images

Reference 39

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This paper cites Triple consistency loss for pairing distributions in GAN-based face synthesis.

FSGAN: Subject Agnostic Face Swapping and Reenactment Triple consistency loss for pairing distributions in GAN-based face synthesis

Reference 40

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

FSGAN: Subject Agnostic Face Swapping and Reenactment Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 41

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This paper cites Synthesizing obama: learn- ing lip sync from audio.

FSGAN: Subject Agnostic Face Swapping and Reenactment Synthesizing obama: learn- ing lip sync from audio

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.834417Z

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This paper cites Figaro, hair detection and seg- mentation in the wild.

FSGAN: Subject Agnostic Face Swapping and Reenactment Figaro, hair detection and seg- mentation in the wild

Reference 43

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This paper cites Face2face: Real-time face capture and reenactment of rgb videos.

FSGAN: Subject Agnostic Face Swapping and Reenactment Face2face: Real-time face capture and reenactment of rgb videos

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.816823Z

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FSGAN: Subject Agnostic Face Swapping and Reenactment CR-GAN: Learning Complete Representations for Multi-view Generation

Reference 45

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This paper cites Extreme 3D face reconstruc- tion: Looking past occlusions.

FSGAN: Subject Agnostic Face Swapping and Reenactment Extreme 3D face reconstruc- tion: Looking past occlusions

Reference 46

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This paper cites High-resolution image syn- thesis and semantic manipulation with conditional gans.

FSGAN: Subject Agnostic Face Swapping and Reenactment High-resolution image syn- thesis and semantic manipulation with conditional gans

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.801194Z

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This paper cites An eye for an eye: A single camera gaze-replacement method.

FSGAN: Subject Agnostic Face Swapping and Reenactment An eye for an eye: A single camera gaze-replacement method

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.792290Z

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Observation 5d498a62-fef7-4f81-8dcb-c429067f09c4 · outbound

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FSGAN: Subject Agnostic Face Swapping and Reenactment GP-GAN: Towards Realistic High-Resolution Image Blending

Reference 49

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This paper cites Reenactgan: Learning to reenact faces via boundary transfer.

FSGAN: Subject Agnostic Face Swapping and Reenactment Reenactgan: Learning to reenact faces via boundary transfer

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.783656Z

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FSGAN: Subject Agnostic Face Swapping and Reenactment Seman- tic image inpainting with deep generative models

Reference 51

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This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

FSGAN: Subject Agnostic Face Swapping and Reenactment Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:18.765401Z

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Pith citing papers

No inbound Pith citation observations are available.