Paper Citation Record · LEDGER

Diffusion Self-Distillation for Zero-Shot Customized Image Generation

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 10 inbound Pith citation observations for arXiv:2411.18616.

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

pith.paper-citation-record.v1
2411.18616 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:05:20.249811Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

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measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:43:56.079822Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:59:50.757597Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0da647c5-f7b7-4b5e-ac11-d9fbbc79db3d · outbound

This paper cites Stable video diffusion: Scaling latent video diffusion models to large datasets.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Stable video diffusion: Scaling latent video diffusion models to large datasets

Reference 1

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Observation 150b194f-9676-49a6-9a6b-2c8c40cf8f38 · outbound

This paper cites an unresolved cited work.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Unresolved cited work

Reference 2

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Observation 1dcd96c6-2a7b-47b7-8883-ae109bd07bf4 · outbound

This paper cites Video generation models as world simu- lators.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Video generation models as world simu- lators

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.608947Z

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Observation b74ea3ea-96f8-4f7f-b531-9823f0471012 · outbound

This paper cites Diffdreamer: Towards consistent unsupervised single- view scene extrapolation with conditional diffusion models.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Diffdreamer: Towards consistent unsupervised single- view scene extrapolation with conditional diffusion models

Reference 4

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Observation 45a81740-8ed9-44b7-bfec-ebae07b17100 · outbound

This paper cites Wetzstein.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Wetzstein

Reference 5

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Observation 9713cc0d-3860-40e4-8093-8175cbd4d470 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Emerg- ing properties in self-supervised vision transformers

Reference 6

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Observation c71f08c7-3c95-4898-a892-48f1ace8d278 · outbound

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

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Subject-driven text-to-image generation via apprenticeship learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.578977Z

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Observation 27df7510-fb0c-441f-86c9-5a5d4c70d3bd · outbound

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Diffusion Self-Distillation for Zero-Shot Customized Image Generation Unresolved cited work

Reference 8

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Observation e5a0f66c-3ec3-4d41-bc2e-1154fc3e6acb · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.561327Z

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Observation aad839de-ed33-4bf9-93d0-fac60a84fa14 · outbound

This paper cites Animatediff: Animate your person- alized text-to-image diffusion models without specific tuning.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Animatediff: Animate your person- alized text-to-image diffusion models without specific tuning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.552827Z

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Observation 27e1061c-ab9f-4d47-8d77-78c9bbabbe1c · outbound

This paper cites Latent video diffusion models for high-fidelity long video generation.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Latent video diffusion models for high-fidelity long video generation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.544264Z

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Observation 32da5c6f-838d-4142-98be-511956a31967 · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.535902Z

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Observation 72d87856-d1ce-4fe3-b43b-9505f292eae5 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.527501Z

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Observation 2d5aca65-4f36-4a5e-97b0-0821d682c1cd · outbound

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

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Animate anyone: Consistent and controllable image-to-video synthesis for character animation

Reference 14

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Observation 39844d8e-e938-4d71-85e5-4b1da7863a0b · outbound

This paper cites Group diffusion transformers are unsupervised multi- task learners.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Group diffusion transformers are unsupervised multi- task learners

Reference 15

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Observation 4dd086ef-60bd-434c-873d-45ab8649249d · outbound

This paper cites Wetzstein.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Wetzstein

Reference 16

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Source-reported events for the cited work

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Observation eea17a6b-7b68-42b7-8bdd-2a0b99196a50 · outbound

This paper cites BLIP-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation BLIP-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 17

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Observation d8b4f9cc-7f38-4887-b933-b0ea4144f234 · outbound

This paper cites Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.486573Z

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Observation 158d136c-4ce7-4a5f-b63b-8da75737847b · outbound

This paper cites Controlnet++: Improv- ing conditional controls with efficient consistency feedback.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Controlnet++: Improv- ing conditional controls with efficient consistency feedback

Reference 19

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Observation 10f618b3-f6f0-496a-9e57-c7b3e84d04bd · outbound

This paper cites Decoupled weight decay regularization.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Decoupled weight decay regularization

Reference 20

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Observation 944ae5d9-4b69-496d-9c57-02b0f53d99f6 · outbound

This paper cites Subject- diffusion: Open domain personalized text-to-image gener- ation without test-time fine-tuning.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Subject- diffusion: Open domain personalized text-to-image gener- ation without test-time fine-tuning

Reference 21

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Observation 25c53eb9-6dce-4bd8-944c-157ca1f209e8 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation SDEdit: Guided image synthesis and editing with stochastic differential equations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.455853Z

Source-reported events for the cited work

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Observation c44c8dd7-4061-42d5-bee6-f0d51ef04217 · outbound

This paper cites T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 23

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Observation f92f7e01-3628-4a36-aaae-46d89440cb3b · outbound

This paper cites GLIDE: towards photorealistic image generation and editing with text-guided diffusion models.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation GLIDE: towards photorealistic image generation and editing with text-guided diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.439592Z

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Observation 5a674db2-4ada-47ea-a42e-e97321e4bc10 · outbound

This paper cites Dreambench++: A human-aligned benchmark for personalized image generation.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Dreambench++: A human-aligned benchmark for personalized image generation

Reference 25

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Observation 2c8e5f31-dc30-4c89-b323-3e4aca3ce798 · outbound

This paper cites State of the art on diffusion models for visual computing.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation State of the art on diffusion models for visual computing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.423696Z

Source-reported events for the cited work

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Observation 47c60deb-fa80-4a82-98fa-a09067c7ab27 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Learning transferable visual models from natural language supervision

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.415574Z

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Observation 6df5db73-94d0-4e5e-88e9-79ec39edd456 · outbound

This paper cites Hierarchical text-conditional image genera- tion with clip latents.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Hierarchical text-conditional image genera- tion with clip latents

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.407644Z

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Observation ba24cfff-79dd-4bf1-b67a-779d4aae03db · outbound

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

Diffusion Self-Distillation for Zero-Shot Customized Image Generation High-resolution image synthesis with latent diffusion models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.399723Z

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Observation a2094605-e9e7-4423-8abf-b43c3fc4cbb9 · outbound

This paper cites Ipadapter- instruct: Resolving ambiguity in image-based conditioning using instruct prompts.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Ipadapter- instruct: Resolving ambiguity in image-based conditioning using instruct prompts

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.391506Z

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Observation 40bec8d1-2fbb-4f29-ab6a-37d6a01bc284 · outbound

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

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven gen- eration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.383198Z

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Observation 2373522a-bd4d-4476-9c87-e2d2fad3563b · outbound

This paper cites Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.374954Z

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Observation c7d4e8a6-4fe0-401e-a898-d508046f682d · outbound

This paper cites LAION-5b: An open large-scale dataset for training next generation image-text models.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation LAION-5b: An open large-scale dataset for training next generation image-text models

Reference 33

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Observation 72ee84a6-518a-43f8-9495-f2403686d6d9 · outbound

This paper cites Human4dit: 360-degree human video generation with 4d diffusion transformer.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Human4dit: 360-degree human video generation with 4d diffusion transformer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.357596Z

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Observation 9f8e76cd-4a2c-4214-af95-fb5a93d7f651 · outbound

This paper cites Mvdream: Multi-view diffusion for 3d gener- ation.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Mvdream: Multi-view diffusion for 3d gener- ation

Reference 35

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0518632e-0f1b-49ff-acde-1451865db780 · outbound

This paper cites Generative multi- modal models are in-context learners.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Generative multi- modal models are in-context learners

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.339914Z

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Observation 76426eb3-2089-4235-b786-7b153253573c · outbound

This paper cites Instantid: Zero-shot identity-preserving generation in seconds.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Instantid: Zero-shot identity-preserving generation in seconds

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.331452Z

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Observation e5a08a05-0965-4582-82f2-7eb6ec06d20f · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Chi, Quoc V Le, and Denny Zhou

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.322829Z

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Observation 6839ddde-a511-43b7-b96b-74740ae54a72 · outbound

This paper cites Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.314474Z

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Observation 38b36301-f32b-4ce1-8a3c-60fb2d2f7fcd · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 40

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Observation 8b3e5b96-0af6-412f-8a90-8818d4bbfec9 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.299983Z

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Observation f921458f-c4d7-4852-b5ab-ca906c8e1587 · outbound

This paper cites Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.291565Z

Source-reported events for the cited work

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Observation 48160ac3-a1f1-45b4-a4be-4a196305e8cb · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation Adding conditional control to text-to-image diffusion models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.282873Z

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Observation 9985c33b-7ab0-4ca0-be8e-1bdb330c416e · outbound

This paper cites de-biased.

Diffusion Self-Distillation for Zero-Shot Customized Image Generation de-biased

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:05:20.273516Z

Source-reported events for the cited work

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Pith citing papers

Observation b8f48ec7-82f5-425c-95fd-be29fbc49d33 · inbound

OminiControl: Minimal and Universal Control for Diffusion Transformer cites this paper.

OminiControl: Minimal and Universal Control for Diffusion Transformer Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 3

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Observation 80e43f30-cf00-4f2b-a0af-d85dffaf16e9 · inbound

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models cites this paper.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 11

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Observation 899dd1ff-07a2-4124-bea6-1cfe5bdd3efc · inbound

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing cites this paper.

MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 3

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Observation 6ba4a103-5efc-4666-875d-51d049d5f19a · inbound

A Unit Enhancement and Guidance Framework for Audio-Driven Avatar Video Generation cites this paper.

A Unit Enhancement and Guidance Framework for Audio-Driven Avatar Video Generation Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:53:10.419914Z

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Observation 3f279121-3634-4c25-946a-b363d7ae17c6 · inbound

AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment cites this paper.

AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 3

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Unavailable: canonical work link unavailable.

Observation 5865e64e-8214-4b45-9ce8-0a9e55754f52 · inbound

Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models cites this paper.

Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:47:32.913593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e9b465-8380-4271-b68f-2dc2aab08fd5 · inbound

DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design cites this paper.

DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:26.497596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 398db788-026d-4c71-9726-5c66d49ac0bb · inbound

Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion cites this paper.

Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T21:57:28.300471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6195b372-37af-4e89-9d41-896c98b1ec6f · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:48:14.888867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bba7fdbd-3482-4775-b6ba-073f017e7ef1 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:59:50.759531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.