Paper Citation Record · LEDGER

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization

As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2508.03735.

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

pith.paper-citation-record.v1
2508.03735 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:47:00.786871Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:38:37.640445Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:38:39.565150Z

Reference resolution

55 of 55 outbound references displayed

verified exact6
verified fuzzy20
unresolved29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 018a1c90-d249-4928-94ef-fd26d2c6f89c · outbound

This paper cites an unresolved cited work.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:47:01.972732Z

Source-reported events for the cited work

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Observation a092c6e8-e2f2-4182-b4ef-60315905d343 · outbound

This paper cites Kandinsky 3.0 technical report, 2024.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Kandinsky 3.0 technical report, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.930235Z

Source-reported events for the cited work

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Observation e6b0c73e-a936-4eb4-acd8-a936012f0ab3 · outbound

This paper cites The chosen one: Consistent characters in text-to- image diffusion models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization The chosen one: Consistent characters in text-to- image diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.911168Z

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Observation 07287fd2-36b5-461f-bb83-b7d6b51313a9 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.530198Z

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Observation 14428dd0-dc76-4f88-b120-b1fcddd30d81 · outbound

This paper cites Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and edit- ing.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and edit- ing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.891538Z

Source-reported events for the cited work

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Observation 22e57c8c-9606-492e-9227-c891e2fe8fd9 · outbound

This paper cites DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.541286Z

Source-reported events for the cited work

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Observation 25999249-f595-49b7-89a0-68e4bd432bcb · outbound

This paper cites Taming Transformers for High-Resolution Image Synthesis.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Taming Transformers for High-Resolution Image Synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.547306Z

Source-reported events for the cited work

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Observation aec35b91-984b-4222-b953-b25f49f1e8ac · outbound

This paper cites Improved Visual Story Generation with Adaptive Context Modeling.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Improved Visual Story Generation with Adaptive Context Modeling

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:47:01.404398Z

Source-reported events for the cited work

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Observation adce62b9-8e2a-4e76-ad60-b0d681ffd213 · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.560554Z

Source-reported events for the cited work

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Observation 6571d272-d148-4d71-a8e7-fd11c2d026c3 · outbound

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

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.572791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b73d4ce0-5bfe-4ef4-9fab-81c3abb8e661 · outbound

This paper cites Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Reference 12

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Source-reported events for the cited work

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Observation 9ade7593-8cb9-4394-b308-dce86cbb59de · outbound

This paper cites TaleCrafter: Interactive Story Visualization with Multiple Characters.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization TaleCrafter: Interactive Story Visualization with Multiple Characters

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.584961Z

Source-reported events for the cited work

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Observation 79c0c6d2-a1c0-47e1-8b69-b24a56af1539 · outbound

This paper cites Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.589744Z

Source-reported events for the cited work

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Observation a2e2c82a-bfd1-4f2d-96ec-257236ae6a7b · outbound

This paper cites DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.594729Z

Source-reported events for the cited work

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Observation c7bff57d-9a73-403c-af65-7851b189d290 · outbound

This paper cites AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.599692Z

Source-reported events for the cited work

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Observation 1645d4bc-b7a3-4586-979b-f79f8d788a03 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Denoising Diffusion Probabilistic Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.604372Z

Source-reported events for the cited work

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Observation cccccd20-6f7f-4c21-8642-fd32fcaffd38 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.608886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd73ac3-cf52-419b-98c5-bc0a72023aad · outbound

This paper cites ReVersion: Diffusion-Based Relation Inversion from Images.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization ReVersion: Diffusion-Based Relation Inversion from Images

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.613396Z

Source-reported events for the cited work

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Observation 8ab4e140-2421-4a4d-9470-9f7527e7e5e6 · outbound

This paper cites Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:47:01.191150Z

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Observation 8045024f-401d-4538-8902-da1d7a8e78a5 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.868230Z

Source-reported events for the cited work

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Observation 3f25451f-be29-4d99-851b-4c9275a5110b · outbound

This paper cites Multi-Concept Customization of Text-to-Image Diffusion.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Multi-Concept Customization of Text-to-Image Diffusion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.845910Z

Source-reported events for the cited work

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Observation 9132284e-050c-475a-96b0-468086712568 · outbound

This paper cites BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.631610Z

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Observation e7251611-9c29-4688-998e-b213aec37d65 · outbound

This paper cites Intelligent grimm-open-ended visual storytelling via latent diffusion models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Intelligent grimm-open-ended visual storytelling via latent diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.824993Z

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Observation 264ccd52-ab94-4a42-8e16-690223903349 · outbound

This paper cites Intelligent grimm - open-ended visual story- telling via latent diffusion models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Intelligent grimm - open-ended visual story- telling via latent diffusion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.802044Z

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Observation 2f0714e6-472f-49c8-a2d5-b60d2b50ed1a · outbound

This paper cites Grounding dino: Marry- ing dino with grounded pre-training for open-set object de- tection, 2024.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Grounding dino: Marry- ing dino with grounded pre-training for open-set object de- tection, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.776334Z

Source-reported events for the cited work

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Observation f27955d2-1ff9-4e2d-a38a-b1021b68719d · outbound

This paper cites One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt

Reference 27

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Observation 81b192b7-dec2-4647-af9d-92ae36fed566 · outbound

This paper cites Summary of chatgpt-related research and per- spective towards the future of large language models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Summary of chatgpt-related research and per- spective towards the future of large language models

Reference 28

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Observation fe898dac-3265-46f3-ace2-620d0d3f4aa3 · outbound

This paper cites A threshold selection method from gray- level histograms.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization A threshold selection method from gray- level histograms

Reference 29

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Observation da5d112d-a56f-41f2-b7ce-5f8d647ad88a · outbound

This paper cites Synthesizing coherent story with auto-regressive la- tent diffusion models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Synthesizing coherent story with auto-regressive la- tent diffusion models

Reference 30

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Observation a6560ec4-8a5c-48e8-a5a2-1eceac642c53 · outbound

This paper cites Localizing object-level shape variations with text-to-image diffusion models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Localizing object-level shape variations with text-to-image diffusion models

Reference 31

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Observation f0e30f7a-20a3-49c9-a3f4-f93d9e897865 · outbound

This paper cites Orthogonal adaptation for modular customization of diffusion models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Orthogonal adaptation for modular customization of diffusion models

Reference 32

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Observation 8fc822b2-2a81-418f-890d-e800765249d4 · outbound

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

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 33

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

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Learning transferable visual models from natural language supervi- sion

Reference 34

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This paper cites ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints

Reference 35

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Observation b6356c3a-2c27-4333-8da4-7fa65de6a571 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization High-Resolution Image Synthesis with Latent Diffusion Models

Reference 36

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This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 37

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Observation c0f78d9a-a2e8-422b-8f13-af83bf97a927 · outbound

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

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 38

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Observation 04d00cac-74fe-43b7-9df6-2dfc3d49f82c · outbound

This paper cites Instant- booth: Personalized text-to-image generation without test- time finetuning.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Instant- booth: Personalized text-to-image generation without test- time finetuning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.601868Z

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Observation 963e731c-b1f4-4e35-b139-45dd52c818fe · outbound

This paper cites Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control

Reference 40

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StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Emergent Correspondence from Image Diffusion

Reference 41

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This paper cites Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models

Reference 42

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StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Training-free consis- tent text-to-image generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.724877Z

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Observation 29a66fdf-c594-44a5-bebc-debb565025e9 · outbound

This paper cites OneActor: Consistent Character Generation via Cluster-Conditioned Guidance.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization OneActor: Consistent Character Generation via Cluster-Conditioned Guidance

Reference 44

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Observation 3dfeb8c4-b9e4-43c9-ab35-240b706e871b · outbound

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StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization SpotActor: Training-Free Layout-Controlled Consistent Image Generation

Reference 45

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This paper cites CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:47:00.936339Z

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Observation f37fa062-1a6c-4f4c-88c0-2aab1af6fd86 · outbound

This paper cites Elite: Encoding visual concepts into textual embeddings for customized text-to-image gener- ation.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Elite: Encoding visual concepts into textual embeddings for customized text-to-image gener- ation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.567203Z

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Observation bdeafe01-89f5-4e18-acd9-b30695a6cbd9 · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 48

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StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization SEED-Story: Multimodal Long Story Generation with Large Language Model

Reference 49

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Observation cd4285ba-af4d-4ae7-875e-5b3e471e9232 · outbound

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

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 50

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Observation 8c04c3e6-40ab-41dc-9dc1-ebaf43e7b606 · outbound

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

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization The unreasonable effectiveness of deep features as a perceptual metric

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.534001Z

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Observation b7f0222d-27df-4943-8c72-d96e33326e93 · outbound

This paper cites Inversion-based Style Transfer with Diffusion Models.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Inversion-based Style Transfer with Diffusion Models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.510829Z

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Observation a53f593e-5185-4b55-950f-900fe7ebcae4 · outbound

This paper cites ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context

Reference 53

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Observation 4a11a7ff-9c4c-42d3-a04a-eb7f79ee8c6a · outbound

This paper cites Storydiffusion: Consis- tent self-attention for long-range image and video genera- tion.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization Storydiffusion: Consis- tent self-attention for long-range image and video genera- tion

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:47:01.492983Z

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Observation 1b3a3a08-608c-4ac7-ab13-0da71aa48377 · outbound

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

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T10:47:00.781995Z

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Observation 5a94c37b-7a28-40e7-816c-932cdd1478f0 · outbound

This paper cites DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:47:00.838402Z

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Pith citing papers

Observation 82acd1da-56b1-429c-916a-bb4bb211287d · inbound

InstructionCrafter: Generating Consistent and High-Fidelity Visual Instructions cites this paper.

InstructionCrafter: Generating Consistent and High-Fidelity Visual Instructions StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:38:39.637125Z

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