Paper Citation Record · LEDGER

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer

As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2501.11319.

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

pith.paper-citation-record.v1
2501.11319 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:31:27.393723Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:49:44.320793Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy35
unresolved22
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0efcbf3-8a68-4133-8903-cdd89ba9bf84 · outbound

This paper cites Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond, 2023.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Re-imagine the negative prompt algorithm: Transform 2d diffusion into 3d, alleviate janus problem and beyond, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.420238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 006ba2e9-1723-4288-988f-9d8118bb3bf2 · outbound

This paper cites Understanding the impact of negative prompts: When and how do they take effect?,.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Understanding the impact of negative prompts: When and how do they take effect?,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.104980Z

Source-reported events for the cited work

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Observation 58ad1972-a7ae-4c95-bb64-6f16356e8fcf · outbound

This paper cites iedit: Localised text-guided image editing with weak supervision.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer iedit: Localised text-guided image editing with weak supervision

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.391075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5cf91857-5162-47b5-b6a3-868b49ae0c62 · outbound

This paper cites Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.375424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6fd47325-7194-4ff5-967c-66d95e5dc35f · outbound

This paper cites Efros and William T.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Efros and William T

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.359340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97245936-5c8e-46f6-891c-deb9e1c59b8b · outbound

This paper cites Gatys, Alexander S.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Gatys, Alexander S

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.342266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9bfdba03-b3ad-474c-8705-f314dc9709e6 · outbound

This paper cites InstructDiffusion: A Generalist Modeling Interface for Vision Tasks.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer InstructDiffusion: A Generalist Modeling Interface for Vision Tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.131192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2880484c-44f0-4960-9ec8-3061b516ace0 · outbound

This paper cites Instructdiffu- sion: A generalist modeling interface for vision tasks.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Instructdiffu- sion: A generalist modeling interface for vision tasks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.324069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4aabf518-f187-4bfe-bb7a-0d33f2002311 · outbound

This paper cites Emma: Your text-to-image diffusion model can secretly accept multi-modal prompts,.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Emma: Your text-to-image diffusion model can secretly accept multi-modal prompts,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.306056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e5d1ba06-a46a-46bd-8977-0bece0e9c2fd · outbound

This paper cites Classifier-Free Diffusion Guidance.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Classifier-Free Diffusion Guidance

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.145256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7226281f-9842-4f3c-8bfb-aff15eec99bb · outbound

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

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Image-to-image translation with conditional adver- sarial networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.287426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 893a4c11-79f2-45ac-814a-e86c5f7f50d0 · outbound

This paper cites Training- free content injection using h-space in diffusion models,.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Training- free content injection using h-space in diffusion models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.267565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e8c15cc1-a98f-4108-b61d-a14959a1e586 · outbound

This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion, 2024.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.248693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6889a4ca-ce96-4644-8d35-c3ffb4cffca6 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Imagic: Text-based real image editing with diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.225992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3da90882-e3f5-40ae-86b2-2ccb38c95007 · outbound

This paper cites Style transfer by relaxed optimal transport and self- similarity, 2019.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Style transfer by relaxed optimal transport and self- similarity, 2019

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.207146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eda7f0c6-01fa-4108-b0f3-9448a7c77990 · outbound

This paper cites FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.173676Z

Source-reported events for the cited work

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Observation 485f5eae-c442-4cd1-a522-2e1938679943 · outbound

This paper cites Diffusion-based image translation using disentangled style and content representa- tion, 2023.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Diffusion-based image translation using disentangled style and content representa- tion, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.184845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 119f276d-fbff-494b-9d3c-b7b424711b5f · outbound

This paper cites an unresolved cited work.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.183823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65d709c4-7776-4adf-b9c3-04eec1ef26a9 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.152504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d21d45e-060a-438f-9818-5b5adc7f6308 · outbound

This paper cites StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.193362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561eed3b-cdd0-4e7a-aa46-bf1c9d345507 · outbound

This paper cites Moecon- troller: Instruction-based arbitrary image manipulation with mixture-of-expert controllers, 2024.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Moecon- troller: Instruction-based arbitrary image manipulation with mixture-of-expert controllers, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.132195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5df695a6-0146-4339-ac14-233e58ba5a34 · outbound

This paper cites Lawrence Zitnick, and Piotr Doll ´ar.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Lawrence Zitnick, and Piotr Doll ´ar

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.102057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc8db8a5-96db-4305-a946-13d98a1b5485 · outbound

This paper cites Understanding deep image representations by inverting them, 2014.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Understanding deep image representations by inverting them, 2014

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.081044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33e596de-bbab-4d74-9867-c0bfe542faeb · outbound

This paper cites A common framework for interactive texture trans- fer.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer A common framework for interactive texture trans- fer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.061911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d849439-4ea5-4b81-864b-5948e56ea8c6 · outbound

This paper cites Conditional Generative Adversarial Nets.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Conditional Generative Adversarial Nets

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.220380Z

Source-reported events for the cited work

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Observation 77571fe4-4e78-4272-97f0-eb93341fddb0 · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models, 2022.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Null-text inversion for editing real images using guided diffusion models, 2022

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.040122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 201ed5b6-4bf2-46b8-b0a2-fa2365453b81 · outbound

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.231414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4dc781-e53f-412c-93ac-8010eeafad89 · outbound

This paper cites Stable diffusion 1 vs 2: What you need to know.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Stable diffusion 1 vs 2: What you need to know

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:28.011209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 85fdaed6-7b4e-4289-bace-9c812e1ebc60 · outbound

This paper cites Arbitrary style trans- fer with style-attentional networks, 2019.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Arbitrary style trans- fer with style-attentional networks, 2019

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.993564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45d11c4f-da72-46f5-8972-705efa2a8250 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.973448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cdd2c027-41ee-4ff1-89d1-10ec40acb558 · outbound

This paper cites DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.252236Z

Source-reported events for the cited work

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Observation f3c8330c-f8de-4c7a-8cd0-01d4becd4dc2 · outbound

This paper cites Freenoise: Tuning-free longer video diffusion via noise rescheduling, 2024.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Freenoise: Tuning-free longer video diffusion via noise rescheduling, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.952053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c819113-f4f7-44d4-a950-3c2b03fa96f3 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Learning transferable visual models from natural language supervision, 2021

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.263553Z

Source-reported events for the cited work

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Observation 0316e982-2ab5-423c-88e5-744d16893b66 · outbound

This paper cites Liu, Ron J.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Liu, Ron J

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.923503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79d09f8a-b901-467f-a553-f1d9fb95ea3e · outbound

This paper cites Hierarchical text-conditional image gener- ation with clip latents, 2022.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Hierarchical text-conditional image gener- ation with clip latents, 2022

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.905754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1ee821c2-a49f-42e1-a062-6c4aa264f3b7 · outbound

This paper cites Hierarchical text-conditional image gener- ation with clip latents, 2022.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Hierarchical text-conditional image gener- ation with clip latents, 2022

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.278583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710462b7-d0c2-479e-8303-83a13eb3df9e · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer High-resolution image syn- thesis with latent diffusion models, 2021

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.283052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a8be62b-9528-42f1-a406-702271822062 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2022.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer High-resolution image syn- thesis with latent diffusion models, 2022

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.287938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1dba96-68cc-4c85-87d1-c212d842b3df · outbound

This paper cites Ipadapter- instruct: Resolving ambiguity in image-based conditioning using instruct prompts, 2024.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Ipadapter- instruct: Resolving ambiguity in image-based conditioning using instruct prompts, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.862446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9348145f-85bd-4d9d-ab99-b0a6a30e67cc · outbound

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

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.296690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a3f391-5ea5-48ea-a5fa-8365fb3d5205 · outbound

This paper cites pytorch-fid: FID Score for PyTorch.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer pytorch-fid: FID Score for PyTorch

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.301982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580e6dbf-55bf-46e3-b3e8-7bf6011d2752 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.307398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa25816-5211-4288-9b61-f2434981cc36 · outbound

This paper cites Denoising Diffusion Implicit Models.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Denoising Diffusion Implicit Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.312738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2f8cad8-93f0-4ff0-a1dd-e35155ef8c20 · outbound

This paper cites Improved artgan for conditional synthesis of natural image and artwork, 2018.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Improved artgan for conditional synthesis of natural image and artwork, 2018

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.825728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4bb250e-c0ce-4e01-b318-f589554dc910 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.323512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b936effa-ce87-4038-b55e-3693af1cd4a9 · outbound

This paper cites InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:27.329870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8107a29c-82fb-43ab-9286-1bcccc86a533 · outbound

This paper cites Stable diffusion 2.0 and the importance of neg- ative prompts for good results.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Stable diffusion 2.0 and the importance of neg- ative prompts for good results

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.802490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4f7af0d-7567-40fc-8581-3af222e71482 · outbound

This paper cites Artfid: Quantitative evaluation of neural style transfer.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Artfid: Quantitative evaluation of neural style transfer

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:31:27.782176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3eb78cb0-e3e0-4630-b955-261b58434f1c · outbound

This paper cites StyleAlign: Analysis and Applications of Aligned StyleGAN Models.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Reference 49

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Observation 36a12b2a-c4be-4f86-992b-eb38d31598f4 · outbound

This paper cites Freetuner: Any subject in any style with training-free diffu- sion, 2024.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Freetuner: Any subject in any style with training-free diffu- sion, 2024

Reference 50

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Observation a29e3f50-febf-4a45-89b7-c8e7c53f3852 · outbound

This paper cites Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models, 2023.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models, 2023

Reference 51

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Observation 39db4421-5d53-4ea7-adb7-3317cdbd5313 · outbound

This paper cites How transferable are features in deep neural networks?,.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer How transferable are features in deep neural networks?,

Reference 52

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Observation 0a9b9611-6127-4a04-aa7c-d9b6545f8f1a · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Adding conditional control to text-to-image diffusion models, 2023

Reference 53

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Observation 4e73d316-3e40-4338-a7d0-40f3ccff04b9 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Efros, Eli Shecht- man, and Oliver Wang

Reference 54

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Observation 323e8428-3408-46b4-b8eb-6457e4129de9 · outbound

This paper cites Inversion-based style transfer with diffusion models.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Inversion-based style transfer with diffusion models

Reference 55

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Observation a003529d-f12c-4b65-ae1b-591bc1ab8849 · outbound

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

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer Unpaired image-to-image translation using cycle- consistent adversarial networkss

Reference 56

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Observation 79cff6e5-2af0-4b70-ae8b-a8979b682541 · outbound

This paper cites wi Inversion,.

StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer wi Inversion,

Reference 57

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Pith citing papers

Observation 57797c8e-7e4b-4bf6-8f6e-d61d295b528f · inbound

PoseAlign: Sculpting Pose-Consistent Meshes via Text-Guided Deformation cites this paper.

PoseAlign: Sculpting Pose-Consistent Meshes via Text-Guided Deformation StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer

Reference 70

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