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Paper Citation Record · LEDGER

Continual Learning of Personalized Generative Face Models with Experience Replay

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.02627.

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

pith.paper-citation-record.v1
2412.02627 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 71a6d772-a7a9-41ee-92e5-6682545a9c75 · outbound

This paper cites A decoupled 3d fa- cial shape model by adversarial training.

Continual Learning of Personalized Generative Face Models with Experience Replay A decoupled 3d fa- cial shape model by adversarial training

Reference 1

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Observation d9eb70fe-34ec-461e-8b97-f248a914eeee · outbound

This paper cites Few-shot generative modelling with generative matching networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Few-shot generative modelling with generative matching networks

Reference 2

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Observation 6b22f414-5cf3-4f32-89ce-5c3fa7103899 · outbound

This paper cites Triplanenet: An encoder for eg3d inversion.

Continual Learning of Personalized Generative Face Models with Experience Replay Triplanenet: An encoder for eg3d inversion

Reference 3

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Observation a13669ad-e7dd-4078-bfc8-21b8b0ecb625 · outbound

This paper cites Coresets via bilevel optimization for continual learning and stream- ing.

Continual Learning of Personalized Generative Face Models with Experience Replay Coresets via bilevel optimization for continual learning and stream- ing

Reference 4

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Observation 1dd35940-b30a-4970-a5e6-be44bc9f7bad · outbound

This paper cites Rethinking experience replay: a bag of tricks for continual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Rethinking experience replay: a bag of tricks for continual learning

Reference 5

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Observation eedcbc3c-01d8-48c1-b999-c09754197f15 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Efficient geometry-aware 3d generative adversarial networks

Reference 6

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Observation d4e5e885-91ad-4ee8-b76a-a4671af0f1ad · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

Continual Learning of Personalized Generative Face Models with Experience Replay On Tiny Episodic Memories in Continual Learning

Reference 7

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Observation 22f64c2e-2eb1-4fa9-a438-5f6eb2b6dde0 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Continual Learning of Personalized Generative Face Models with Experience Replay Diffusion models beat gans on image synthesis

Reference 8

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Observation 67f8fd66-3db3-4d30-956b-86ab6f009f9d · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.

Continual Learning of Personalized Generative Face Models with Experience Replay Image quality assessment: Unifying structure and texture similarity

Reference 9

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Observation ae288801-82e4-4c7e-af15-fae94d152a28 · outbound

This paper cites Catastrophic forgetting in connectionist networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Catastrophic forgetting in connectionist networks

Reference 10

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Observation ac849f88-fbdc-49d1-aea1-7547778fc1d9 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Continual Learning of Personalized Generative Face Models with Experience Replay An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 11

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Observation 301491c1-5bdc-446b-b6ef-c0a0e30b6b03 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Continual Learning of Personalized Generative Face Models with Experience Replay Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 12

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Observation a7d9c817-c7b4-4fda-a9d8-39ec941139f3 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Continual Learning of Personalized Generative Face Models with Experience Replay Denoising dif- fusion probabilistic models

Reference 13

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Observation d163669e-b0ad-404c-b323-77eddad56e55 · outbound

This paper cites On the "steerability" of generative adversarial networks.

Continual Learning of Personalized Generative Face Models with Experience Replay On the "steerability" of generative adversarial networks

Reference 14

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Observation 5b1d3562-6bb7-4b71-8b90-5e39bba5ba28 · outbound

This paper cites Gradient- based editing of memory examples for online task-free con- tinual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Gradient- based editing of memory examples for online task-free con- tinual learning

Reference 15

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Observation 0efa4b86-6deb-4bc2-8642-6f070d594cdb · outbound

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

Continual Learning of Personalized Generative Face Models with Experience Replay Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 16

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Observation e40c87c2-ad0a-4993-bebe-fe78965e42df · outbound

This paper cites Training generative adver- sarial networks with limited data.

Continual Learning of Personalized Generative Face Models with Experience Replay Training generative adver- sarial networks with limited data

Reference 17

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Observation 8a05528d-d4a8-42c6-b5ef-fe4cf40e3b03 · outbound

This paper cites Alias-free generative adversarial networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Alias-free generative adversarial networks

Reference 18

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Observation 2c4bb8b0-6326-4177-bb57-026d3098eb0c · outbound

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

Continual Learning of Personalized Generative Face Models with Experience Replay A style-based generator architecture for generative adversarial networks

Reference 19

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Observation 273cc2e5-8ae4-4c71-a89a-cb46ab419e5b · outbound

This paper cites Analyzing and improv- ing the image quality of stylegan.

Continual Learning of Personalized Generative Face Models with Experience Replay Analyzing and improv- ing the image quality of stylegan

Reference 20

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Observation 9d929522-3b7f-497f-b580-e6714a320cad · outbound

This paper cites One millisecond face alignment with an ensemble of regression trees.

Continual Learning of Personalized Generative Face Models with Experience Replay One millisecond face alignment with an ensemble of regression trees

Reference 21

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Observation d2921293-844e-4c82-ae90-dcacb0342f77 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Overcoming catastrophic forgetting in neu- ral networks

Reference 22

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Observation 2c911225-406a-470c-a7f8-52eb2084c4f0 · outbound

This paper cites Gradient episodic memory for continual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Gradient episodic memory for continual learning

Reference 23

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Observation 3dc74eae-41b5-49a5-aa3a-0d36e35fd63f · outbound

This paper cites Time-travel rephotography.

Continual Learning of Personalized Generative Face Models with Experience Replay Time-travel rephotography

Reference 24

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Observation 3e7cf4d8-06be-4816-9eec-6441b54dc832 · outbound

This paper cites Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models.

Continual Learning of Personalized Generative Face Models with Experience Replay Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models

Reference 25

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Observation 52b2ef99-7eab-437a-96ce-543a20a1e093 · outbound

This paper cites Hologan: Unsupervised learning of 3d representations from natural images.

Continual Learning of Personalized Generative Face Models with Experience Replay Hologan: Unsupervised learning of 3d representations from natural images

Reference 26

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Observation 8e92d74b-e39c-4395-a2e6-8c1c6805e3fb · outbound

This paper cites Giraffe: Represent- ing scenes as compositional generative neural feature fields.

Continual Learning of Personalized Generative Face Models with Experience Replay Giraffe: Represent- ing scenes as compositional generative neural feature fields

Reference 27

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Observation 17e47228-d7d9-4d07-8654-df3d08787a66 · outbound

This paper cites Mystyle: A personalized generative prior.

Continual Learning of Personalized Generative Face Models with Experience Replay Mystyle: A personalized generative prior

Reference 28

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Observation d84ec377-807b-4217-961b-30be906eb4f7 · outbound

This paper cites Face Identity Disentanglement via Latent Space Mapping.

Continual Learning of Personalized Generative Face Models with Experience Replay Face Identity Disentanglement via Latent Space Mapping

Reference 29

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Observation dc1f1033-3363-4401-a132-3161d4170a93 · outbound

This paper cites Stylesdf: High-resolution 3d-consistent image and geome- try generation.

Continual Learning of Personalized Generative Face Models with Experience Replay Stylesdf: High-resolution 3d-consistent image and geome- try generation

Reference 30

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ebf68f44-141b-413b-b6f0-f3aeaede6ee5 · outbound

This paper cites Styleclip: Text-driven manipulation of stylegan imagery.

Continual Learning of Personalized Generative Face Models with Experience Replay Styleclip: Text-driven manipulation of stylegan imagery

Reference 31

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Observation a3c02790-3bb1-4fe9-9575-dd90f7b63a3b · outbound

This paper cites Gdumb: A simple approach that questions our progress in continual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Gdumb: A simple approach that questions our progress in continual learning

Reference 32

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 69a0cb1d-4432-4307-96eb-b3e5503b60d6 · outbound

This paper cites Wang, Shengze Wang, and Roni Sengupta.

Continual Learning of Personalized Generative Face Models with Experience Replay Wang, Shengze Wang, and Roni Sengupta

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5c8ddc03-fcbe-492c-b20c-8d75aa7a5b54 · outbound

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Continual Learning of Personalized Generative Face Models with Experience Replay icarl: Incremental classifier and representation learning

Reference 34

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Observation d8299087-9eef-4932-827f-0e4c50cf8c62 · outbound

This paper cites Encoding in style: a stylegan encoder for image-to-image translation.

Continual Learning of Personalized Generative Face Models with Experience Replay Encoding in style: a stylegan encoder for image-to-image translation

Reference 35

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Observation a2e5f75b-3d94-4cce-b485-1299c690b0f1 · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Continual Learning of Personalized Generative Face Models with Experience Replay Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 80875666-3d4d-4f2c-a128-ed34406f78ec · outbound

This paper cites Continual learning in reinforcement en- vironments.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual learning in reinforcement en- vironments

Reference 37

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verified fuzzy
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f13940e9-127c-4691-b258-8bd33a5ed841 · outbound

This paper cites Pivotal tuning for latent-based editing of real im- ages.

Continual Learning of Personalized Generative Face Models with Experience Replay Pivotal tuning for latent-based editing of real im- ages

Reference 38

Resolution
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no resolver link, observed 2026-08-11T23:19:08.516545Z

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Observation 3cfebd96-0a87-4884-83b7-201018187fd5 · outbound

This paper cites Continual learning of 3d point cloud gen- erators.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual learning of 3d point cloud gen- erators

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9c9e91e1-2277-4c77-b312-cfe5ac5ca69f · outbound

This paper cites Graf: Generative radiance fields for 3d-aware im- age synthesis.

Continual Learning of Personalized Generative Face Models with Experience Replay Graf: Generative radiance fields for 3d-aware im- age synthesis

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 10ba2395-f760-4cd7-afb7-63ae490782b1 · outbound

This paper cites Continual Learning in Generative Adversarial Nets.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual Learning in Generative Adversarial Nets

Reference 41

Resolution
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Observation f66f70aa-d64e-49b2-a6a8-d25f24ca264c · outbound

This paper cites A benchmark of facial recognition pipelines and co-usability performances of mod- ules.

Continual Learning of Personalized Generative Face Models with Experience Replay A benchmark of facial recognition pipelines and co-usability performances of mod- ules

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fc611046-30e9-4c34-94ae-6ee430c30725 · outbound

This paper cites In- terpreting the latent space of gans for semantic face editing.

Continual Learning of Personalized Generative Face Models with Experience Replay In- terpreting the latent space of gans for semantic face editing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.538847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 802b8eb7-7bfd-40ba-8f48-cdf442845b8b · outbound

This paper cites Interfacegan: Interpreting the disentangled face representa- tion learned by gans.

Continual Learning of Personalized Generative Face Models with Experience Replay Interfacegan: Interpreting the disentangled face representa- tion learned by gans

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.849598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7a85db86-1c19-48d4-9946-3892535166bc · outbound

This paper cites Online class- incremental continual learning with adversarial shapley value.

Continual Learning of Personalized Generative Face Models with Experience Replay Online class- incremental continual learning with adversarial shapley value

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.831031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5e87d008-303c-49a1-859b-9712aa2cc16d · outbound

This paper cites Continual learning with deep generative replay.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual learning with deep generative replay

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.814971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 47fee1ff-ba95-44d5-a53e-060c4395554f · outbound

This paper cites Few-shot class- incremental learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Few-shot class- incremental learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.800047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:19:08.557918Z digest=sha256:d89995b2cfe3048e86bc0ae029a2776f218fbf6473fb428410d41cc7bb9d632e

Observation 93cab309-b867-4ad1-8516-982efdcabb52 · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

Continual Learning of Personalized Generative Face Models with Experience Replay A comprehensive survey of continual learning: Theory, method and application

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.783268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:19:08.562767Z digest=sha256:f54cdd3162ad28d5b5cd4db6bc4e299eae21dc4b1a5335f3e2798ff4177057bc

Observation ca304d2e-a3f4-42ac-b2a2-ebb0bd7f30c1 · outbound

This paper cites Lifelong gan: Continual learn- ing for conditional image generation.

Continual Learning of Personalized Generative Face Models with Experience Replay Lifelong gan: Continual learn- ing for conditional image generation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.766269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T23:19:08.567401Z digest=sha256:f326e0517664bc1db3d53ab8436a95fe95e42e464dd2b7681d56a8b03d186d7e

Observation 245c240f-a6f8-4ceb-adbf-b7bcfd7ac572 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Continual Learning of Personalized Generative Face Models with Experience Replay The unreasonable effectiveness of deep features as a perceptual metric

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.572959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.