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Paper Citation Record · LEDGER

SerialGen: Personalized Image Generation by First Standardization Then Personalization

As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.01485.

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

pith.paper-citation-record.v1
2412.01485 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:23:55.019924Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved26
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc5a8f55-09c2-407a-a126-8ed4776ea825 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 1

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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.

source=pdf_text observed=2026-08-12T04:23:54.811677Z digest=sha256:0d17acae582a7c5e0c554f3f970ca5286260a7d43f2e22288c3587a20d4ce33f

Observation e4792a2d-536c-42af-9ad8-d0befdae7dad · outbound

This paper cites Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Magicpose: Realistic human poses and facial expressions retargeting with identity-aware diffusion

Reference 2

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:23:54.816699Z digest=sha256:6c305ac44d06cb6fbb044e968b5fb4ba85a0de0b5532d3a579c9f1f9d59ca765

Observation cb532b03-8534-43ad-b444-ef648a07090d · outbound

This paper cites Subject-driven text-to-image generation via apprenticeship learning.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Subject-driven text-to-image generation via apprenticeship learning

Reference 3

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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.

source=pdf_text observed=2026-08-12T04:23:54.821363Z digest=sha256:99e255e1aeb45eb6acb6d8a17c3eacf58d9a4182224f13d44650bacbdb47d7b6

Observation dfede0ed-3281-4ed5-bcdc-b7579abfc4a4 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Arcface: Additive angular margin loss for deep face recognition

Reference 4

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:23:54.825780Z digest=sha256:83ae47b91baf96f15c30d52e22751fb2d8c4c93a8eb6fd75669c38218534f757

Observation 85ee379d-a7cf-40bb-b25d-d7f30f2cfbaa · outbound

This paper cites Sub-center arcface: Boosting face recognition by large-scale noisy web faces.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Sub-center arcface: Boosting face recognition by large-scale noisy web faces

Reference 5

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:23:54.830652Z digest=sha256:1f277a130d033e5e8e3bcb28a9284e54b9b22be58a91517caea3e9c019764051

Observation 8073ff36-2b39-4ee5-a1f6-d4d7b71d516d · outbound

This paper cites Taming transformers for high-resolution image synthesis.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Taming transformers for high-resolution image synthesis

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:23:54.835256Z digest=sha256:b0c0acadc83e9de2c4659caf385eff670f645b2c93f9054c39ac11a818ba5a8b

Observation e49f8887-e2b0-4a07-84a9-3120e96493af · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

SerialGen: Personalized Image Generation by First Standardization Then Personalization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 7

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source=pdf_text observed=2026-08-12T04:23:54.840151Z digest=sha256:3610ff063e0422abaf0bb3068c75c320a0decf4594a30b590f7a89b4d8fdd6be

Observation 03daaec2-d7c4-4cb3-8f9d-dd91ac00e259 · outbound

This paper cites Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023

Reference 8

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source=pdf_text observed=2026-08-12T04:23:54.844694Z digest=sha256:7bc9ebe57cc0025b0718412b20c9c8bf2fe390855fb8f47358f624da1206ff60

Observation ef148a19-8352-4684-876c-0c4ceb02c813 · outbound

This paper cites Lcm- lookahead for encoder-based text-to-image personalization.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Lcm- lookahead for encoder-based text-to-image personalization

Reference 9

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:23:54.848813Z digest=sha256:9784960df7290394f2e6f255521d90194b5fcf5b4440869bb33b335cdefbed6a

Observation 4d5c165d-379a-4ae1-a3b7-a8a540b45526 · outbound

This paper cites PuLID: Pure and Lightning ID Customization via Contrastive Alignment.

SerialGen: Personalized Image Generation by First Standardization Then Personalization PuLID: Pure and Lightning ID Customization via Contrastive Alignment

Reference 10

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source=pdf_text observed=2026-08-12T04:23:54.857272Z digest=sha256:e236f55fc65376fcf493591a8399c961417b1084116d091f1810135d745df9a2

Observation d4674f08-52e2-4210-ad77-9cdafc35a08b · outbound

This paper cites Face-adapter for pre-trained diffusion models with fine- grained id and attribute control.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Face-adapter for pre-trained diffusion models with fine- grained id and attribute control

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.535943Z

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 509bf708-001c-4389-80c3-de0556273ef8 · outbound

This paper cites Imagine yourself: Tuning-Free Personalized Image Generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Imagine yourself: Tuning-Free Personalized Image Generation

Reference 12

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source=pdf_text observed=2026-08-12T04:23:54.866733Z digest=sha256:824a40074da00e721a6aa90ef30f3c63c7bd44a5e2302c76c28b1c8e8e7a6310

Observation afbcdeff-5aaa-4bfc-86e3-d61e4caa7000 · outbound

This paper cites Image quality metrics: Psnr vs.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Image quality metrics: Psnr vs

Reference 13

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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.

source=pdf_text observed=2026-08-12T04:23:54.871537Z digest=sha256:9cfac7d7d7d456c9fd498a5ad7cd966f8731c3a5f4605ab9226045d757d6c66c

Observation e3dd52f6-0a60-4c59-8b7b-a1ac9e9db290 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

SerialGen: Personalized Image Generation by First Standardization Then Personalization LoRA: Low-rank adaptation of large language models

Reference 14

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source=pdf_text observed=2026-08-12T04:23:54.875780Z digest=sha256:2c766aa97dca583d99362ebd8dd2d547285142461b7f452ee8eaf540705acee2

Observation 6bf60129-04a5-41ee-bbe3-d6c760f00bc4 · outbound

This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Animate anyone: Consistent and controllable image- to-video synthesis for character animation

Reference 15

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source=pdf_text observed=2026-08-12T04:23:54.879820Z digest=sha256:35319e481610e35af54ffa4c50c6c69905d4545a6471712f91c33441cb5808b4

Observation 21cb2aa8-b57e-4e66-a0c5-925404573e35 · outbound

This paper cites TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models.

SerialGen: Personalized Image Generation by First Standardization Then Personalization TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models

Reference 16

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source=pdf_text observed=2026-08-12T04:23:54.883913Z digest=sha256:463826525f1e58284030deae2a89cd29b3f127be71401bcb16c2d07a3f591176

Observation fcba5630-b494-4939-8de7-69cc31d42d14 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Multi-concept customization of text-to-image diffusion

Reference 17

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source=pdf_text observed=2026-08-12T04:23:54.888417Z digest=sha256:3ef7a433c1e912e53ef0f04fcef6798fa7c2ad07bfef90ae8bc5a5d11c58fb77

Observation 63938953-7dc4-457a-a3b6-ad2c1abd6a71 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization Photomaker: Customizing re- alistic human photos via stacked id embedding

Reference 18

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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.

source=pdf_text observed=2026-08-12T04:23:54.892635Z digest=sha256:b3df7577db0c76478f55a1ab9b9237a2e21f496738b8f9242a594858da9e8bd6

Observation 4aeb901d-0627-4a16-ba46-4d405b0ab0e7 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

SerialGen: Personalized Image Generation by First Standardization Then Personalization SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 19

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source=pdf_text observed=2026-08-12T04:23:54.896984Z digest=sha256:9c0b60632aaf6b7881bf3bd78ed98da64980982a5ce9e0966c515ed4aaaa64ea

Observation cc472c81-27cf-4a61-a573-b7b8377a7f74 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Learning transferable visual models from natural language supervi- sion

Reference 20

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source=pdf_text observed=2026-08-12T04:23:54.901962Z digest=sha256:00100e9da88eac91703bf8f07f5a28e18ea1bcfac07c4be834470ed1bbe9b778

Observation 6dc6b1fd-dd17-4fa5-87aa-a7a590660c2d · outbound

This paper cites Zero-shot text-to-image generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Zero-shot text-to-image generation

Reference 21

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source=pdf_text observed=2026-08-12T04:23:54.906296Z digest=sha256:faf5af5a616bf74626fdfe5c13f5f4e67c26eaa3547f5f9db46569c3c395028c

Observation ea4d644e-9523-46d9-a098-34370169f2b5 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 22

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source=pdf_text observed=2026-08-12T04:23:54.910539Z digest=sha256:daac265b9b108765c7560c4115bd950850018189b1e763f59b7cb31b7623a810

Observation fdd6b007-8a32-4ff4-8304-ee9535ba2d0a · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization High-resolution image synthesis with latent diffusion models

Reference 23

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source=pdf_text observed=2026-08-12T04:23:54.915014Z digest=sha256:3a468c121878199cdd5d03be0ae60791ce82423b30046973d33b649e09e70e8d

Observation 9e2cbfd0-b698-4f03-993b-abc5c0320887 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 24

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source=pdf_text observed=2026-08-12T04:23:54.919304Z digest=sha256:168716fcb1bd9809e2e1d450170a6776dd0c0b98e9c7375317d59fc0c3e37b05

Observation 23568a1f-3aa3-4fad-ad77-e1162651ca9a · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Photorealistic text-to-image diffusion models with deep language understanding

Reference 25

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source=pdf_text observed=2026-08-12T04:23:54.923672Z digest=sha256:ebf2486366768d19547ef8ba77f4c5c3ae54c55ccc63fdc41e343986ee866baa

Observation 25512679-ee02-4dde-84cc-a353ff2d1c3f · outbound

This paper cites Denoising Diffusion Implicit Models.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Denoising Diffusion Implicit Models

Reference 26

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source=pdf_text observed=2026-08-12T04:23:54.928296Z digest=sha256:c6434525d75b622898de3843b21bc549ea99d5b5490f24fbf52574e4491fd51c

Observation c7768a67-ebd1-49aa-94e8-8cd8a108c251 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 27

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source=pdf_text observed=2026-08-12T04:23:54.932628Z digest=sha256:d7c65ae7f89d366ceab2f857c86c3e3e23e50df2c7db97d89cf44259145c3787

Observation 51ee2716-19b8-41ac-89da-d7c2180bf5da · outbound

This paper cites Disco: Disentangled control for realistic human dance generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Disco: Disentangled control for realistic human dance generation

Reference 28

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raw_fallback, observed 2026-08-12T04:23:55.420696Z

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=2026-08-12T04:23:54.937528Z digest=sha256:d58053108995c208163b329f9319790d8c3da454864b7b173e5cb29bd5fe7ae1

Observation b25145bc-ebd7-42cb-abc2-df0f5f2c10fc · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Image quality assessment: from error visibility to structural similarity

Reference 29

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source=pdf_text observed=2026-08-12T04:23:54.941873Z digest=sha256:bdc9199874ab3d3e3d102fc5bb1cb5437ecff44ee0377ebf5b6cf966097b8dd4

Observation 30901ea8-aa03-4bb2-aa46-b0f9ead47615 · outbound

This paper cites Fastcomposer: Tuning-free multi- subject image generation with localized attention.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Fastcomposer: Tuning-free multi- subject image generation with localized attention

Reference 30

Resolution
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raw_fallback, observed 2026-08-12T04:23:55.397441Z

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=2026-08-12T04:23:54.946241Z digest=sha256:88c0306627b752ce768b2d74029c991b037d92993ed2e8f3d7af4f29ba4d71fe

Observation 0c48f119-6959-460c-aa69-76721b344970 · outbound

This paper cites Magicanimate: Temporally consistent human im- age animation using diffusion model.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Magicanimate: Temporally consistent human im- age animation using diffusion model

Reference 31

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raw_fallback, observed 2026-08-12T04:23:55.383093Z

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=2026-08-12T04:23:54.950539Z digest=sha256:ba463421429479db2089aebb8f17fded83c3edea746306b120ec4a700f234141

Observation 6b4776e5-f828-4fd3-989f-545a25ed85d7 · outbound

This paper cites Effec- tive whole-body pose estimation with two-stages distillation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Effec- tive whole-body pose estimation with two-stages distillation

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:23:54.954741Z digest=sha256:cc58ea2ad419e43d1b023a473fe7a87f186ca9441c5959f5384f0544b1904e78

Observation fe4cc9ad-69c5-4bd8-9e56-010c30b92c72 · outbound

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

SerialGen: Personalized Image Generation by First Standardization Then Personalization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 33

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source=pdf_text observed=2026-08-12T04:23:54.959056Z digest=sha256:f46130ddb0271ec8708e6a893c0ed4e4c17995e2c7b23f623ee6d7c2e1b465c6

Observation aa4fa3da-a62f-4d54-9f16-7b7411a63aa4 · outbound

This paper cites Posecrafter: One-shot per- sonalized video synthesis following flexible pose control.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Posecrafter: One-shot per- sonalized video synthesis following flexible pose control

Reference 34

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raw_fallback, observed 2026-08-12T04:23:55.359557Z

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=2026-08-12T04:23:54.963941Z digest=sha256:e3807ee60b674ae5a30fa2907132103ce2374f7bb51778a32f61cea1d3a67c0e

Observation b616c0b4-2b73-4e11-94b6-19b2d8d25e2e · outbound

This paper cites StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Reference 35

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source=pdf_text observed=2026-08-12T04:23:54.968961Z digest=sha256:b3f22d235bff9f318a9186d072574c84ad01ead469579516e817007e46beda5e

Observation b490363a-116a-4e12-90bd-dd5598f55426 · outbound

This paper cites StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation.

SerialGen: Personalized Image Generation by First Standardization Then Personalization StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:23:54.973572Z digest=sha256:560cc0d11e605a057dfa2af3ee820b06877882bf768fc2bf0beb192c3c365901

Observation a2fe0804-7f03-4fb2-a396-3d8ef53eb31c · outbound

This paper cites Champ: Controllable and consistent human image animation with 3d parametric guidance.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Champ: Controllable and consistent human image animation with 3d parametric guidance

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.345970Z

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=2026-08-12T04:23:54.978592Z digest=sha256:f1dc483b689b816d996171895ea8a4db673c67e745d7b42833e524afb24f01ca

Observation 36d9767e-4fdb-4d7f-af2a-0a2af2fdbd54 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:23:55.332021Z

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=2026-08-12T04:23:54.983093Z digest=sha256:903aeefbae1906956057551c984d27e446fd04b8c672b1e5565ae921278f3f64

Observation ab586aa7-9aea-4975-b56c-1199e060f7bf · outbound

This paper cites As shown in Figure 11, the standardization stage introduces a slight 3D style bias when standardizing images.

SerialGen: Personalized Image Generation by First Standardization Then Personalization As shown in Figure 11, the standardization stage introduces a slight 3D style bias when standardizing images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.318398Z

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=2026-08-12T04:23:54.987410Z digest=sha256:9bdb46f6e90c7952ffb6962ca99897b7b02d8d73cd18de18ce050da738d6ccca

Observation a011c236-e2ae-4475-ad3a-e7f980409d74 · outbound

This paper cites We give more comparison results with Fast- Composer, IP-Adapter and StoryMaker.

SerialGen: Personalized Image Generation by First Standardization Then Personalization We give more comparison results with Fast- Composer, IP-Adapter and StoryMaker

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.303378Z

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=2026-08-12T04:23:54.991556Z digest=sha256:89a9cb55ce93e1cb24cc2d3dcf03c5db649d18fedcc43074814640646a8d4d81

Observation 91ec6e65-b4f9-4466-9d62-c063bd77e800 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:23:55.288381Z

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=2026-08-12T04:23:54.996375Z digest=sha256:29e72d0fb689597ef189768ad494757e625dd338ef3c0241dfa4e4d9c826f399

Observation ccbaade4-5488-4ffd-90c7-1000f417f76b · outbound

This paper cites Figure 12.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Figure 12

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.272740Z

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=2026-08-12T04:23:55.001042Z digest=sha256:9778b5475cd6c8d162f653c39d43a3fdb06455327a613f2c939fea3d978fa065

Observation 7d598ada-e0b1-4d40-a89c-fd69d012c1ed · outbound

This paper cites For the reference encoder, we employ IP-Adapter [33], while SDXL is utilized as the diffusion model.

SerialGen: Personalized Image Generation by First Standardization Then Personalization For the reference encoder, we employ IP-Adapter [33], while SDXL is utilized as the diffusion model

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.259015Z

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=2026-08-12T04:23:55.005383Z digest=sha256:f212c93a0cb608a8b1c76a4ac6c2b108316a26087926f63ecfb92eb95befc19d

Observation 7cf65e6d-414d-4bde-847c-541337dab325 · outbound

This paper cites Experiments are conducted using the benchmark dataset TikTok [28].

SerialGen: Personalized Image Generation by First Standardization Then Personalization Experiments are conducted using the benchmark dataset TikTok [28]

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.245336Z

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=2026-08-12T04:23:55.010141Z digest=sha256:2451688efaca6d92ec586f098ff8c2fd5c012bd7a36cc5bb9e8dd6910a05441d

Observation ab3623fe-9635-42fd-8165-d58752032a98 · outbound

This paper cites As shown in Table 7, after the standardization stage, CLIP-I is 89.47, and Face Sim.

SerialGen: Personalized Image Generation by First Standardization Then Personalization As shown in Table 7, after the standardization stage, CLIP-I is 89.47, and Face Sim

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.230395Z

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=2026-08-12T04:23:55.014631Z digest=sha256:70215bf46e021c5e709f563793d988fd8d76eff9c373bd83a5c1febe83a86d55

Observation 860976c0-10b1-4ff6-830c-e24528b24fe6 · outbound

This paper cites score of 0.46, CLIP-I score of 74.56, and CLIP-T score of 24.63 on the test dataset.

SerialGen: Personalized Image Generation by First Standardization Then Personalization score of 0.46, CLIP-I score of 74.56, and CLIP-T score of 24.63 on the test dataset

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:23:55.215269Z

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=2026-08-12T04:23:55.019924Z digest=sha256:2aebb5e62e8766902d15c6af32961de7e5ea6adc5b23a2a3cad880be86eb49cd

Observation fe2ab3c4-b6c1-49ab-abab-f0c3a4178e30 · outbound

This paper cites an unresolved cited work.

SerialGen: Personalized Image Generation by First Standardization Then Personalization Unresolved cited work

Reference 340

Resolution
parse uncertain
no resolver link, observed 2026-08-12T04:23:54.853154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:23:54.853154Z digest=sha256:cb1228bf3ab05537e2b779ec519016c29d172298528be08961e6cbf5b99e3937

Pith citing papers

No inbound Pith citation observations are available.