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Paper Citation Record · LEDGER

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model

As of 15 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 0 inbound Pith citation observations for arXiv:2412.11519.

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

pith.paper-citation-record.v1
2412.11519 v1

Coverage vector

measured 98 of 98 reference resolution

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measured 98 of 98 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

98 of 98 outbound references displayed

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External citation measurements

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Outbound references

Observation 5f425873-978d-42e6-8569-b5ba39e5747d · outbound

This paper cites Cross-image attention for zero- shot appearance transfer.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Cross-image attention for zero- shot appearance transfer

Reference 1

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Observation c975e59e-f319-4d0c-acb2-11d8fb084658 · outbound

This paper cites Sketchinr: A first look into sketches as implicit neural representations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchinr: A first look into sketches as implicit neural representations

Reference 2

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Observation 18f0bf04-4bf7-41ea-b68b-21be74f7c862 · outbound

This paper cites What sketch explainability really means for downstream tasks? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages 10997–11008, 2024.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model What sketch explainability really means for downstream tasks? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages 10997–11008, 2024

Reference 3

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Observation 49ff9b10-4205-4207-a633-4950c1bb8c7c · outbound

This paper cites Masksketch: Unpaired structure-guided masked image generation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Masksketch: Unpaired structure-guided masked image generation

Reference 4

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Observation a6a2da6c-abbc-4291-99b1-f29fbc62a02d · outbound

This paper cites Style and abstraction in por- trait sketching.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Style and abstraction in por- trait sketching

Reference 5

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Observation 64442aa4-1dc6-4fbd-9e10-e52c85a6f201 · outbound

This paper cites Pixelor: A competitive sketching ai agent.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Pixelor: A competitive sketching ai agent

Reference 6

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Observation 3edc219a-0144-4ffe-8403-a0893fa801db · outbound

This paper cites Sketch less for more: On-the-fly fine-grained sketch-based image retrieval.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch less for more: On-the-fly fine-grained sketch-based image retrieval

Reference 7

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Observation 3d04458b-849f-4dbb-aaea-b20c45f1d804 · outbound

This paper cites B-cos net- works: Alignment is all we need for interpretability.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model B-cos net- works: Alignment is all we need for interpretability

Reference 8

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Observation 499ff0b0-e212-4b29-beae-b7fdd7f9b57d · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model In- structpix2pix: Learning to follow image editing instructions

Reference 9

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Observation 7ce7a9a3-b756-44ba-8fe0-b75ec4bc6853 · outbound

This paper cites Painting materials and working methods.A Corpus of Rembrandt Paintings: 1625–1631 , pages 11–33,.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Painting materials and working methods.A Corpus of Rembrandt Paintings: 1625–1631 , pages 11–33,

Reference 10

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Observation aee287a6-c1d4-44ae-9ccb-69313f3068f8 · outbound

This paper cites Diffusart: Enhancing line art coloriza- tion with conditional diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Diffusart: Enhancing line art coloriza- tion with conditional diffusion models

Reference 11

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Observation 8d80d1d8-c42a-4cdc-9e6c-b344a840b56d · outbound

This paper cites Fast image pro- cessing with fully-convolutional networks.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Fast image pro- cessing with fully-convolutional networks

Reference 12

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Observation 2b9e4f92-eec6-4e7b-9923-d5d9d2236e8f · outbound

This paper cites Deepfacedrawing: Deep generation of face im- ages from sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Deepfacedrawing: Deep generation of face im- ages from sketches

Reference 13

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Observation 01011d73-1ae8-4d93-8633-9ff6b8ce503b · outbound

This paper cites Sketchygan: Towards di- verse and realistic sketch to image synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchygan: Towards di- verse and realistic sketch to image synthesis

Reference 14

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Observation b26c7bb5-20ce-4680-8455-7c71edd8c8c5 · outbound

This paper cites Adaptively-realistic image gen- eration from stroke and sketch with diffusion model.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Adaptively-realistic image gen- eration from stroke and sketch with diffusion model

Reference 15

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Observation f8cc9af4-e369-429d-a7af-dc4f0843a8ae · outbound

This paper cites Zest: Zero-shot material trans- fer from a single image.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Zest: Zero-shot material trans- fer from a single image

Reference 16

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Observation ff14ef2c-e3b6-42f9-9db0-02c9dc50e62c · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer

Reference 17

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Observation 8f080341-03ed-4e2f-b51b-6b49be5c9e9e · outbound

This paper cites Cross- modal latent space alignment for image to avatar translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Cross- modal latent space alignment for image to avatar translation

Reference 18

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Observation 535dddb9-1766-42c4-b7ff-c4e7405be4b6 · outbound

This paper cites Stytr2: Im- age style transfer with transformers.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Stytr2: Im- age style transfer with transformers

Reference 19

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Observation 2660b211-f737-458b-8789-24d96ac9ccf7 · outbound

This paper cites How do humans sketch objects? ACM Transactions on graphics (TOG) , 31 (4):1–10, 2012.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model How do humans sketch objects? ACM Transactions on graphics (TOG) , 31 (4):1–10, 2012

Reference 20

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Observation 48af1705-98f4-4959-b175-5e53e5d2759e · outbound

This paper cites Image smoothing via unsupervised learning.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Image smoothing via unsupervised learning

Reference 21

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Observation 0dc03d68-896e-481a-b37f-8a050c69c9ad · outbound

This paper cites Faragasso.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Faragasso

Reference 22

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Observation f86aed08-e7de-499d-98b6-fd6f399a3ef7 · outbound

This paper cites Ic9600: a benchmark dataset for automatic image complexity assess- ment.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Ic9600: a benchmark dataset for automatic image complexity assess- ment

Reference 23

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Observation 735f5973-e001-4d75-9afe-0a62dae074d2 · outbound

This paper cites Sketchycoco: Image gener- ation from freehand scene sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchycoco: Image gener- ation from freehand scene sketches

Reference 24

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Observation 94cc4343-1b95-474b-95eb-fd4886e9128f · outbound

This paper cites Neural image com- pression via attentional multi-scale back projection and fre- quency decomposition.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Neural image com- pression via attentional multi-scale back projection and fre- quency decomposition

Reference 25

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Observation 61ca59eb-3516-42fa-bb93-7154e6f1ce32 · outbound

This paper cites Get3d: A generative model of high quality 3d tex- tured shapes learned from images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Get3d: A generative model of high quality 3d tex- tured shapes learned from images

Reference 26

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This paper cites A Neural Algorithm of Artistic Style.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model A Neural Algorithm of Artistic Style

Reference 27

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Observation 9eca2220-b350-4994-86e6-a10d54f2c249 · outbound

This paper cites Exploring the structure of a real-time, arbitrary neural artistic stylization network.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Exploring the structure of a real-time, arbitrary neural artistic stylization network

Reference 28

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Observation f2f26cdb-b119-4765-bcaa-a063ae9a2ea6 · outbound

This paper cites Interactive sketch & fill: Multiclass sketch-to-image transla- tion.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Interactive sketch & fill: Multiclass sketch-to-image transla- tion

Reference 29

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Observation 6464b23d-c47b-4391-825f-ad55a6670718 · outbound

This paper cites Opens- ketch: A richly-annotated dataset of product design sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Opens- ketch: A richly-annotated dataset of product design sketches

Reference 30

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Observation f546d16d-74f7-49a3-a108-998587214ec7 · outbound

This paper cites Sketch2mesh: Reconstructing and editing 3d shapes from sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch2mesh: Reconstructing and editing 3d shapes from sketches

Reference 31

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Source-reported events for the cited work

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Observation 15a3779c-2ecb-4f3e-ae80-9225ae2365c9 · outbound

This paper cites Cogs: Controllable generation and search from sketch and style.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Cogs: Controllable generation and search from sketch and style

Reference 32

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Source-reported events for the cited work

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Observation 249abda8-c91f-4540-9705-25c3fbce7238 · outbound

This paper cites Diffusion- enhanced patchmatch: A framework for arbitrary style trans- fer with diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Diffusion- enhanced patchmatch: A framework for arbitrary style trans- fer with diffusion models

Reference 33

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Observation d26c4066-415b-45a5-831c-ac86bd9bd382 · outbound

This paper cites Guided image fil- tering.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Guided image fil- tering

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.676087Z digest=sha256:19829e7e5a1a1c1c497f67469d820acc8ab16c24ec24b96df85eb83b1e605ea8

Observation 4aa561f7-7996-455d-857f-a098866ef0fd · outbound

This paper cites Masked autoencoders are scalable vision learners.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Masked autoencoders are scalable vision learners

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.168233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.681714Z digest=sha256:fff9f1bc057fb4cb48880960eb6f2b086c00056bba4ec5ecfdedf38118edc651

Observation 49e20f5a-e3d5-4571-b873-8bd093103686 · outbound

This paper cites Why do line drawings work? a realism hypothesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Why do line drawings work? a realism hypothesis

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.151027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.686971Z digest=sha256:0e5887ae8099623925a1fec19ef42161a443581c61ad4684061a604b5a785cfb

Observation f80c194b-3865-4436-a07c-c3b8957ee11a · outbound

This paper cites Aespa-net: Aesthetic pattern-aware style transfer networks.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Aespa-net: Aesthetic pattern-aware style transfer networks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.691851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.691851Z digest=sha256:ffd25be052d6742c3b961a18780b2430084c6962c34b49aa55f8dcf3023fdeca

Observation 0e19d69b-d478-4b88-82c5-c4b5184dc915 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Arbitrary style transfer in real-time with adaptive instance normalization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.697599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.697599Z digest=sha256:82edc9608a1528229ad436ddfa41456ef2de525306e1ddb2a54c41a7087a7dfc

Observation 53506d29-aeb1-4b47-83ae-937a6977e983 · outbound

This paper cites Sc-fegan: Face editing gen- erative adversarial network with user’s sketch and color.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sc-fegan: Face editing gen- erative adversarial network with user’s sketch and color

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.111316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.702755Z digest=sha256:83170fc0e34bf2f6a9afadc24e81750169a760f2b9263368fb5165f8478734a1

Observation c5b45ec0-f1f4-48a1-98fb-b1f43ebf9a7b · outbound

This paper cites The quick, draw!-ai experi- ment.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model The quick, draw!-ai experi- ment

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.095345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.707938Z digest=sha256:4207a1a9e2222036ff59e3706f0bc260ce509e59e811f97a9105d0d79b9aea13

Observation 31277cf5-0324-4f9a-9495-827902c5fce8 · outbound

This paper cites Giampietrino, boltraffio, and the influence of leonardo.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Giampietrino, boltraffio, and the influence of leonardo

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.077931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.712587Z digest=sha256:176c2b6a73e87ed72ac95199d7b6d5b1f5a80886b17e7f900373f370d09fef6a

Observation 09ff6d27-3edd-4184-b05f-bcb4686a287d · outbound

This paper cites Pic- ture that sketch: Photorealistic image generation from ab- stract sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Pic- ture that sketch: Photorealistic image generation from ab- stract sketches

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.061566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.717390Z digest=sha256:8808d243d00d15d4758ecdc31670241e0cae67117f46cc3a25eb50df6f115aa3

Observation 82d0222c-ab25-498b-8841-76a0c5815dc9 · outbound

This paper cites It’s all about your sketch: Democratising sketch control in diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model It’s all about your sketch: Democratising sketch control in diffusion models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.045170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.722476Z digest=sha256:59bb073979c4451faff690222b34697d803de3f881394bd8572c00f32f96984f

Observation 9a69604f-5dc9-46bd-9805-d30720f9f12c · outbound

This paper cites Deeppatent: Large scale patent drawing recognition and re- trieval.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Deeppatent: Large scale patent drawing recognition and re- trieval

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.028071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.727992Z digest=sha256:680d242d9a0e441702d75515bc22b7ab84fb08e7b768e85c6d2e4749b00b3dc8

Observation be58b671-2f71-4823-8de4-d0fb345e83e0 · outbound

This paper cites Photo-sketching: Inferring contour draw- ings from images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Photo-sketching: Inferring contour draw- ings from images

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:21.011840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.733372Z digest=sha256:a6c8a9972200a1226bb484ad0f7b68746c028610337d4c504792ef7046bbb36d

Observation 2b6ba688-41bb-46b1-981d-08f926179445 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Gligen: Open-set grounded text-to-image generation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.738397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.738397Z digest=sha256:9a02129193065dc6a30d98ac3a8ad96a2cd915892c31bcc56f8145dc672970ac

Observation 5e163e0e-2333-4f39-ab35-516d02b2f09d · outbound

This paper cites Visual Attribute Transfer through Deep Image Analogy.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Visual Attribute Transfer through Deep Image Analogy

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.742931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.742931Z digest=sha256:0d46c243c2050a065ba5fa2b81177349d058efcc787c0ba8587fa5ba698c43eb

Observation 2dc2dfb8-2817-4df2-b70a-bc64a979f7b7 · outbound

This paper cites Sketchdream: Sketch-based text-to-3d generation and edit- ing.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchdream: Sketch-based text-to-3d generation and edit- ing

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.981822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.748857Z digest=sha256:13b42cc16d5a32830f05c898df78b3ae4a1334a8b2647a26f8ab77d39898950c

Observation 09037b30-4693-42a0-a229-2d8bc65b73e9 · outbound

This paper cites Deflocnet: Deep im- age editing via flexible low-level controls.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Deflocnet: Deep im- age editing via flexible low-level controls

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.961117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.754605Z digest=sha256:fc171d51d91b704bd0dae6f3a3b54957475c1089740f2fe5b35dd8311ac705d4

Observation bea376e3-0ab1-47d9-be5d-8c09398f6bf0 · outbound

This paper cites Unsupervised sketch to photo synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unsupervised sketch to photo synthesis

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.942293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.759948Z digest=sha256:919cf431a3e73afb50699db28accab21a740479d8efbce2b2dac8f54e60e25bf

Observation 0247112e-36e4-4403-9449-dba57f847a64 · outbound

This paper cites Learning re- cursive filters for low-level vision via a hybrid neural net- work.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Learning re- cursive filters for low-level vision via a hybrid neural net- work

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.920111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.765250Z digest=sha256:648034f2b57d495cb720381eef87861426dae64252b20dac649ec24560a74359

Observation e6389ae7-7dff-4256-8a91-276ed87e69c6 · outbound

This paper cites Image generation from sketch constraint using con- textual gan.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Image generation from sketch constraint using con- textual gan

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.899744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.770755Z digest=sha256:5d395376d811a9bb77d1aa9e1c8f3df8231e0c8f7915dd626824a0f9d2379cca

Observation a87c0041-a650-48df-a6ea-df5c701c48f1 · outbound

This paper cites Early processing of visual information.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Early processing of visual information

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.881367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.775880Z digest=sha256:719b2581592f4c724bc67797aa38024fe90e7ae465c5a82ca2bc0c07c0c30cb6

Observation 1501ba5d-c74d-4b1b-b8ab-f07a943aeffb · outbound

This paper cites Visual information processing: The structure and creation of visual representations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Visual information processing: The structure and creation of visual representations

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.862447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.781170Z digest=sha256:7c4baabd2d5e4a9f6eb8773caa0fcf2a5d32d0a3421142be3271f896c3dfe44a

Observation 1ac33bec-71e2-4840-b825-0f1b45947ecd · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.786535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.786535Z digest=sha256:9dc5f8488db5ebd6c28a2598453483c2006dc31d9dc0c762548959d375e049c9

Observation 672757a4-cbaa-4483-a728-88a006b04d08 · outbound

This paper cites Sked: Sketch-guided text-based 3d editing.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sked: Sketch-guided text-based 3d editing

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.845500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.792007Z digest=sha256:f4e42b936a303997f432f3e94b7f54dda028c6685f31e8a88ce2b628a5a8468d

Observation ce894dd1-a96f-448f-931b-a4daa9152442 · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.826343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.796912Z digest=sha256:c82bea3461dac03ffa853c5c1160792d7f580c7b2060c6fbd0e53e4c4b2d6310

Observation 600ffbe7-4370-46cd-abad-2516e3a6a543 · outbound

This paper cites an unresolved cited work.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:55:20.806343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.802599Z digest=sha256:a9d0cfcff2e2c33a03e1da98af5b36a4962b1037a6d89d305fc89c922eb6bb84

Observation 0e7dfadb-26e1-4a19-baff-58c3f20dcf2b · outbound

This paper cites Unsupervised learning of visual representations by solving jigsaw puzzles.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unsupervised learning of visual representations by solving jigsaw puzzles

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.807898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.807898Z digest=sha256:e6f311bddccea857d37dfaa1eb6a28034a2866b2be4d3f85536d9b41a5fdc829

Observation 34a4bf5e-a8a5-4a0b-a820-f2b0adc70f4d · outbound

This paper cites an unresolved cited work.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:55:20.774250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.813348Z digest=sha256:b5146bc0692f9e2748fd37b6c26a7b1a8dd2a1d6c5e8a7cb3aafe5fcd43a899a

Observation cb7a511d-9f9f-4686-8ab0-02fc75e7da27 · outbound

This paper cites Discourse on the practice of painting and its main processes: Underpainting, overpainting and re- touching.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Discourse on the practice of painting and its main processes: Underpainting, overpainting and re- touching

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.750569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.818760Z digest=sha256:771ecf700c38f553a762c5e2cc69c9b623b0f7bbccd3465c7cdcc49cea11e4f3

Observation 4132b9d9-6abe-45fb-96bc-1046490360b7 · outbound

This paper cites Zero-shot image-to-image translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Zero-shot image-to-image translation

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.725855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.823928Z digest=sha256:3ab0abf0513916a0f9a720980aa730525e9e8805d8ae7258c4eb5e4719c6f827

Observation 34b30a0e-470d-433a-ba23-da96ccc86fbe · outbound

This paper cites Dead- iff: An efficient stylization diffusion model with disentan- gled representations.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Dead- iff: An efficient stylization diffusion model with disentan- gled representations

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.706330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.829266Z digest=sha256:509b4a7b5b0ce0bd8131b9600369df3b3bd1743ebf3eaefc0cc9130cc5108edc

Observation a5c76641-362c-4072-bc2e-ed748824d8a2 · outbound

This paper cites Sketchxai: A first look at explain- ability for human sketches.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketchxai: A first look at explain- ability for human sketches

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.688808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.834205Z digest=sha256:a7c9b3e67e4ca78a5aafd7b2d0198a3d357b6b1ad9f46b6bc202e8e657093c60

Observation 9133f9eb-9047-4f40-9f58-62c6ef538734 · outbound

This paper cites Kornia: an open source differentiable computer vision library for pytorch.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Kornia: an open source differentiable computer vision library for pytorch

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.670019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.839736Z digest=sha256:fe6795783d4e82fd2dd2443093771c2c76776f0b99b40f527623f437cea6a689

Observation eb93f9e4-6210-46c3-a5fe-520e20cc70cb · outbound

This paper cites Encoding in style: a stylegan encoder for image-to-image translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Encoding in style: a stylegan encoder for image-to-image translation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.651056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.845596Z digest=sha256:b229fdb920b5964b614e9e0f8b03fc7feff93dfcf21ad5aad827dee44352b6f2

Observation d6c782b8-0c16-4307-9cca-0871e1083300 · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model High-resolution image synthesis with latent diffusion models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.850716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.850716Z digest=sha256:9507d2907c480a77da8d79d3b6e5dc62df34730424723d9a7219bb66a93f21d2

Observation 506f9fad-cc72-4c31-a00c-a5b9199e418d · outbound

This paper cites Nonlinear total variation based noise removal algorithms.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Nonlinear total variation based noise removal algorithms

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.856132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.856132Z digest=sha256:1ebcf69cf5b269de9886976ae877ae4f8a13e0cb114c7706a346551ba0268044

Observation db87fe2d-5377-4cdf-a544-bbaa3b6188a1 · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.608215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.861323Z digest=sha256:bcc23d197e21a6465a9d474b87dda4856ee0abc31b55d84c780e94f4f4c71f26

Observation ec68b541-731b-4c0f-82dc-c96bcbfbd0ac · outbound

This paper cites The sketchy database: learning to retrieve badly drawn bunnies.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model The sketchy database: learning to retrieve badly drawn bunnies

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.866252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.866252Z digest=sha256:9bcf7d7eb550af1ffb9c6d2500b6e829b0e43173ef6c51d369a2d6f3a23c713d

Observation 616c32f5-62f9-49cc-a040-4f6419865290 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.872176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.872176Z digest=sha256:0335f7995e28e3f6ade5ea8f424521a57d8be9c10f6ffd09c57bc1a4247c2a5b

Observation ceef4a33-0e32-44da-988c-847873ad5bc2 · outbound

This paper cites Alchemist: Parametric control of material proper- ties with diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Alchemist: Parametric control of material proper- ties with diffusion models

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.570409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.877083Z digest=sha256:80dcf4ba33dc4e9d6b8d62e4ff4cdae1d7dae6a9389e8df2c4e33aa27ad1309e

Observation dbf3d165-b5ba-4b06-b3fc-1ac0ed83e2ba · outbound

This paper cites Learning to sketch with shortcut cycle consistency.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Learning to sketch with shortcut cycle consistency

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.550640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.882008Z digest=sha256:57cfea6b121ea125778f6940bd1b2b7d87c32c931e2dae6f9ca02aef525b9580

Observation b371f23d-8318-4294-ae01-d8e6df9c240e · outbound

This paper cites Bilateral filtering for gray and color images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Bilateral filtering for gray and color images

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.532849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.886767Z digest=sha256:674971e5bf368e3b85bb91a089ccbf20c5e27ab97eb64b65a287947f27241f51

Observation cd5a60c4-30f3-463e-b34c-b0a05687671f · outbound

This paper cites Sketch-guided object localization in nat- ural images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch-guided object localization in nat- ural images

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.515126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.891734Z digest=sha256:f8af5eb176c00a5eea0cc0948d3d344aac88e0496d1941cada16e56a0701f439

Observation a10f16c4-6ad0-4c48-bd42-e6898275ce7b · outbound

This paper cites Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.897108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.897108Z digest=sha256:0bf37695c3a533f36fec9d4fcfdb845bd770cf4ad6b282d71064656938e5a178

Observation 7576e84c-2301-4fa2-ac80-2f379cf83ca4 · outbound

This paper cites Clipasso: Semantically-aware object sketching.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Clipasso: Semantically-aware object sketching

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.496911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.902325Z digest=sha256:bf1e043b538f68396c892c61897708913f3995a220b85cd636172a303848abf1

Observation c0a1c5c4-9aca-4fc4-9773-f9d5f7062ed3 · outbound

This paper cites Clipascene: Scene sketching with different types and levels of abstraction.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Clipascene: Scene sketching with different types and levels of abstraction

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.480204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.907335Z digest=sha256:72d5559bf1a279d3c29232b21be28b376fe2e50c84d8269098b6c42fd9816296

Observation 378f83ca-e1a1-4f69-9b53-5b5331e6a733 · outbound

This paper cites Sketch-guided text-to-image diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch-guided text-to-image diffusion models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.458868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.912505Z digest=sha256:1eb0b1ff8df43fa2f71ead1fa9e8cb0467a5d21c06eece1b0532a355d3f2d441

Observation 267240a3-bc2e-4feb-bfeb-acc61a7ef94c · outbound

This paper cites Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.918106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.918106Z digest=sha256:d6cee5461fd7df7c71acae006ee8b4018fd81ff99312ddaec5d9a4208f8d1762

Observation ad08cf7f-613a-48d9-bce3-3febfebafdc2 · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.922823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.922823Z digest=sha256:3e2e057af1ceeb2b74b800b9173e84888d862ffeccaa5ed7ca40868a372db3d3

Observation 5243d29e-a0ae-44f7-9aa9-1a8d3d9f6fad · outbound

This paper cites Unsupervised scene sketch to photo synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Unsupervised scene sketch to photo synthesis

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.426780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.929202Z digest=sha256:3a0e7bd907ba32dcb8487d14a29817818b698bcd7e86e59f653205b7107e279c

Observation 7d17efc6-cf00-4c89-9b77-85768c58c65b · outbound

This paper cites Sketch your own gan.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch your own gan

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.406182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.936908Z digest=sha256:64c6e72dd6e3caa78c7d2da3de37ddfccf9199b59f1bc493bf82c4340b2000fa

Observation 1d60c218-7ede-4929-ab00-0697e4a952f0 · outbound

This paper cites Pretraining is All You Need for Image-to-Image Translation.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Pretraining is All You Need for Image-to-Image Translation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.942213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.942213Z digest=sha256:ecd02c0755bd20ddc057935fd0f3e81706a2309c7428b6c35304a5f4d2be0c9c

Observation f2a7cedb-f1d3-44cb-b197-433622e950d0 · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Stylediffusion: Controllable disentangled style transfer via diffusion models

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.388310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.947618Z digest=sha256:0d3c66a935f7f83ab54e6fd01ffea45040ccdd85ccfc3c938c7f7f2d32603638

Observation 301cdd48-8034-4dfc-b20c-65cdc38654e9 · outbound

This paper cites Fine-grained image analysis with deep learning: A survey.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Fine-grained image analysis with deep learning: A survey

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.368415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.952774Z digest=sha256:a20af6189d8da6358422e2852d2075dbb518d57d264badda10b75a674f6f211a

Observation 376b39d2-2b7c-4475-8a4c-c0f4dc70e73e · outbound

This paper cites Style- former: Real-time arbitrary style transfer via parametric style composition.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Style- former: Real-time arbitrary style transfer via parametric style composition

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.351110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.957746Z digest=sha256:aaa8f6f0b26557d9bdbef4492181c3bcb648c8b671771f90a0aa81a98d82c310

Observation 12bf5082-9264-49c7-8e22-4127b0c126d3 · outbound

This paper cites Sketch-based model- ing with a differentiable renderer.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Sketch-based model- ing with a differentiable renderer

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.334929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.962564Z digest=sha256:4ca25f129bb7268fe9f08c71390eb67153c020d3a3899d06f707f1de4993f65a

Observation d50b3c8c-878e-437b-b81d-7c63065f5500 · outbound

This paper cites Adversarial open domain adap- tation for sketch-to-photo synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Adversarial open domain adap- tation for sketch-to-photo synthesis

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.317505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.967326Z digest=sha256:c0ea264d90b57111b93aca35b779616f15f4748650847fad374dacdee80bff0c

Observation 39606374-39c4-46e5-a0b8-78f6f4b4476b · outbound

This paper cites Differsketching: How differently do people sketch 3d objects?ACM Transactions on Graphics (TOG), 41(6):1–16, 2022.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Differsketching: How differently do people sketch 3d objects?ACM Transactions on Graphics (TOG), 41(6):1–16, 2022

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.300772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.972130Z digest=sha256:3f0d8f910e24df34e034c5e17de5ca86ab3adcc65a106229e6ad80859ed90c3e

Observation ae597e06-3365-4edb-96b0-78b128ddfe73 · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Depth anything: Unleashing the power of large-scale unlabeled data

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.977090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.977090Z digest=sha256:35befd0f0b79b16c2ac8e8fd4af243229f8a0f64689288f91225da770bbc4beb

Observation e0e4210c-9a2a-4889-9dd9-01aa47804bd6 · outbound

This paper cites Controllable sketch-to-image translation for robust face synthesis.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Controllable sketch-to-image translation for robust face synthesis

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.273668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.982176Z digest=sha256:39a360f7301e23becf6d67c9bba0e6e89c812c3f752493f7008bca414043f6e5

Observation 1408c2f1-aa59-41c2-84bf-5fda17927c5d · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:19.987007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:19.987007Z digest=sha256:7ea1496ce6dded3d6e15850b9e61781e87a3f32bb0eaecc281dd11e58552cd06

Observation 410b9eff-2cad-49cc-8d2f-b799282fd23e · outbound

This paper cites Texture- dreamer: Image-guided texture synthesis through geometry- aware diffusion.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Texture- dreamer: Image-guided texture synthesis through geometry- aware diffusion

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.256892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.992077Z digest=sha256:6280330eed78358438c717190efd07aee0565ca1dd63ed137f02595bc3ea702d

Observation 5dd9ca16-3803-4a55-9805-66e197971873 · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Adding conditional control to text-to-image diffusion models

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.239950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:19.996709Z digest=sha256:2f92b25c86b02b57f2edc2a700c975c8b5742e3ede586087dadb7a68c44f70cb

Observation a3790ba3-0842-4c8b-9c3c-42762ab02ddb · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model The unreasonable effectiveness of deep features as a perceptual metric

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:20.001963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:20.001963Z digest=sha256:0cf70d9fb7cb4692bd18c38a2b6889f6825fa622c34d5a868273544eca21b4bb

Observation cf369185-c7f5-4cae-ab78-c6173f011079 · outbound

This paper cites Prospect: Prompt spectrum for attribute-aware personalization of diffusion models.ACM Transactions on Graphics (TOG), 42(6):1–14, 2023.

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Prospect: Prompt spectrum for attribute-aware personalization of diffusion models.ACM Transactions on Graphics (TOG), 42(6):1–14, 2023

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:20.007475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:20.007475Z digest=sha256:c3d7220c4e1ee9300045f553f87549ab6d98feba5bf8cb4b32bf7e640049f6cc

Observation 49ae8bbd-2d36-40db-a689-be0c3d033754 · outbound

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

LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model Inversion-based style transfer with diffusion models

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:55:20.200721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:55:20.012421Z digest=sha256:32404b532b1130526b072d21c6e57380248ca22eeddf110c79b3e8426f1647ac

Pith citing papers

No inbound Pith citation observations are available.