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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 2026-08-12T06:34:41.77262+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
  • malformed identifier0
  • metadata mismatch0

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.098610Z digest=sha256:bf1d0594c29953f00f68594304a835302d15fa07ac6c2d0f090af8aeb48271a2

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.104980Z digest=sha256:8a9e9d3aff0af769ea7c5804a3b322fe1a7985e4e7e0e5291e1ca0f66b74676a

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.110402Z digest=sha256:95aa8c778b4cb15d7258b4818f9f5237d606c17981490cd1688e73034f9fb66b

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.116230Z digest=sha256:1acfe567f96c3ccf509cb52da22c7461626359c62c4af75276dec0021074fa54

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.120717Z digest=sha256:9a7a4000e90a90ac5ee3b36ba06759665bf09c191a9e5cf86ca8ec070d3faa10

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.126287Z digest=sha256:ca5c3ea23a3a648e0723e56d70c55c393f546b8da8861a731a2b1dfde0f5ad2f

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.131192Z digest=sha256:4c30243da6fc5f0783a5ec5db28a0158105f061a599608f4ccaddab42aa6ceb5

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.136298Z digest=sha256:d9a0ad5237a00db2f09ff8326b58a9656df9d2aa692ccb17ae97d05c0d2c562d

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.140892Z digest=sha256:22273c47b7a00cad2d924f204a0c7b9e05d96676085867946aed80ed21f93ec1

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.145256Z digest=sha256:f50a918e2e75c48988dee857ea7cad6d481063dedb9737741fe97e1baa9b0dc4

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.150344Z digest=sha256:eab1accae67fbed0c6431f883fdd1447973c8eeac203bdb1227657f852cb2f0a

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.156328Z digest=sha256:80b0caf194e2773df9c1fbd9038347e8f694aa02631332aceb3a15ca4bc4182d

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.160765Z digest=sha256:59a03100be00a7db641a20e9ddd743b206914f8e4c6f7f19100b64866e958a21

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.164838Z digest=sha256:9abcfbd6504824973be82a7f0e6d693610479709446f310df46ccc777a23a005

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.169663Z digest=sha256:73413508b203ae49e37911096c792f5a58389321555407a7a077fa951cd3d3f2

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.173676Z digest=sha256:ea04b9493f6bc32744b13b2fddf2e0b69769dd13dfe1e881f44b75c2b985da78

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.178936Z digest=sha256:cc3fefb4431d0b805cce113f0a7c7a89250cb53b9c5e59e9c6077fb411d78fd1

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.183823Z digest=sha256:00feffe5837321df76f6322039899d73e5aaf147fb54f9b95e17268940ee2e0c

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.188569Z digest=sha256:c9e78b6ce911175ee044f364ed846311ec7f75697abe5e803583c16f93f3997c

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.193362Z digest=sha256:4b8dbbd3e146ad6a9eca08e99544b050b8829e33aff3b6fca8d144032b2b55d0

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.197299Z digest=sha256:44ca81d433e13b6e1ef2d50b75b4f84c5e34eecf796852140aabb7d3f3a9babe

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.201296Z digest=sha256:ebba849572c9cfc6d9b15cebb6d51c23b43375b1693a65b847433a5cdac0201d

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.207781Z digest=sha256:43448e462f68b18e07f039e0640489aca573d32d46d20d4de7a7992bb2fbdb38

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.215447Z digest=sha256:15c5fc9b037abd26e70d90e31b33ff3e9d98e7a1a9540871098ac2cc390266bf

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.220380Z digest=sha256:28c9227bdae8528fea2b4714f0b0cdd74ebb9770ead7c6cee344f5a7db47c39d

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.226555Z digest=sha256:588c062771d4139f63ff62d945c7f5600ced4fe1f02706d9fab44b7f779f0497

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.231414Z digest=sha256:8eb7d618965be0a2623315457791fd62e4fe5519d7de9e304770dbf63c9bdb28

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.237034Z digest=sha256:60bf184657c693163a3e96bfd50c600d9b503dad1735abce6cd484ea4efc3afd

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.241319Z digest=sha256:c2c6691ad7256fe6c2dafe3403fdefb939424fe0e0d90d8c47f0bc6355f2e69a

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.247063Z digest=sha256:e4d1711fa8298a4f4629442c06a319a41bd531e3d6443a064833736e4d03f1fb

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.252236Z digest=sha256:aa5c91b7c3e1f3c2185ad04668ef581df0c79577bc0447ae099cccc959b737a0

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
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.258098Z digest=sha256:0f03ba88dbe195658e91d911e5fb2ce4ef4a217d29c78bdf24c6aeae5591b291

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.263553Z digest=sha256:42a7731666a111177499e21c220b334c8dd25b39ee9a81445e975d5f3f9b6ce3

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.268168Z digest=sha256:1d8bb9b9b12ddf5e65ea58b90f8a5eca4f12287aee28908a82250916a4a4a2f7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.273935Z digest=sha256:b4a0b715d2b1d600cc1ea83cd4cf8a14797a7bf6e030734f46c1586a7520a44c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.278583Z digest=sha256:b309472ac64a79adcc695ac8ab4e1a6ea2f76325891cff32be499e38f1610a74

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.

source=pdf_text observed=2026-08-10T18:31:27.283052Z digest=sha256:921cc7e8ac403581935bdfa2f1042269af32dad7db619f89affc72b0450ab16d

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.

source=pdf_text observed=2026-08-10T18:31:27.287938Z digest=sha256:dbc46a60b658977b0cf50202001acacdd98df81ec7fc24c31c070a2cb5c6e343

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.292461Z digest=sha256:2af33d65b69be5224fe502f415733826321993c4a257a6203fac4603d39065bb

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.

source=pdf_text observed=2026-08-10T18:31:27.296690Z digest=sha256:b03261366787da875ae1b8e5a4502fc4fc8427408918ccb0e042f069ce19673d

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.

source=pdf_text observed=2026-08-10T18:31:27.301982Z digest=sha256:b54e00c02666a64bf0a3b7c4bdf61d6a39ae7bfa50cf7b2cb0416c752cde63c1

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.

source=pdf_text observed=2026-08-10T18:31:27.307398Z digest=sha256:65799041071b7e1bd025e6c8a56a14b055d3175a66712ebaf073d71306278ee7

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.

source=pdf_text observed=2026-08-10T18:31:27.312738Z digest=sha256:56302937d61595bfcaee0f9e31ec0f41cb50c115abdad6648deae59e3a43f315

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.317656Z digest=sha256:16acd455a743f47e67f0fc2d7e8fb9438fc3491af1cec6d6e48e6d6bdc468a01

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.

source=pdf_text observed=2026-08-10T18:31:27.323512Z digest=sha256:8698812911d23716edd3b844a18d15c31671ccd1bbcb74fcece9bf4fd6f00e9e

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.

source=pdf_text observed=2026-08-10T18:31:27.329870Z digest=sha256:154b0bcdfe27a0887281dcc1e71739eda68b7814326d97ba974bf166d5026b94

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.334598Z digest=sha256:4230c67765f54c3a3236826d106716dcb177fcb36e57d9f3a748e0addb630bed

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.339924Z digest=sha256:5da1b369003ed9825d54fc3d838e62dbdb4af27f913539f7c99e252e2a99ea0f

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:31:27.353376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.353376Z digest=sha256:8a0d2e55690687005abf6b5e6b824b7aa96247a8bf5521d8bd25acbd3db1697b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:31:27.763710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.358131Z digest=sha256:71918742b49dae69cdfff1103c013ace0d4bc362aa01dc5ec2cd10f4f1925e52

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:31:27.363170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.363170Z digest=sha256:34800caf4ab4caee215c85543e29b1c4a1947c82630f4ecb530fc52a3c70d6cf

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

Resolution
unresolved
no resolver link, observed 2026-08-10T18:31:27.368701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:27.368701Z digest=sha256:3a4eacfb72d0be3dfb9e2ea1af74fc97835a03689e131d398919590e11e166f1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:31:27.723431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.373434Z digest=sha256:b526d18160da463e5a2a24dd03cbbfefc5c160babbd2ae719297872e090086e8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:31:27.705870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.379762Z digest=sha256:309cdd0046c3ee4368b8c0c25f79407f4e811b8dc4ca3012cd3fd74f84e17ff4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:31:27.679742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.385185Z digest=sha256:b70cb141ffb0ed63a5a2b5976b5c2732b61c6499c865505add54aab6ac255e47

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:31:27.662524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.389902Z digest=sha256:f2889d2b371255adca683c54888b7b0a2d8016506f7f53b5acffd29fc6675d2a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:31:27.643064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:31:27.393723Z digest=sha256:ec3914eb3c2ad6060f6f2ed26c4c87e9f5d2551ecba188b1fd66bc9c69da1c41

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

Resolution
unresolved
no resolver link, observed 2026-07-14T10:49:44.320793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:49:44.320793Z digest=sha256:56b9312965cd8aeef748d225036e6952542d93c8edeb743f814bc1f19abcd59d