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Paper Citation Record · LEDGER

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis

As of 8 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2606.16241.

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pith.paper-citation-record.v1
2606.16241 v3

Coverage vector

measured 89 of 89 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-15T10:47:09.455756Z

measured 89 of 89 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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89 of 89 outbound references displayed

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Outbound references

Observation 5739fe92-ab09-4c70-a03c-f13184f63bcd · outbound

This paper cites Adversarial diffusion distillation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Adversarial diffusion distillation

Reference 1

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Observation 1ec3bc6c-0a34-42f7-96cb-d2cc1419f145 · outbound

This paper cites Only-style: Stylistic consistency in image generation without content leakage.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Only-style: Stylistic consistency in image generation without content leakage

Reference 2

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Observation 64abf413-a658-42df-9adf-ae9491805ebb · outbound

This paper cites Contained neural style transfer for decorated logo generation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Contained neural style transfer for decorated logo generation

Reference 3

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Observation 4a10e4f2-4635-466c-ac4e-8b7c94c0120e · outbound

This paper cites Conditional Image Generation with Score-Based Diffusion Models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Conditional Image Generation with Score-Based Diffusion Models

Reference 4

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Observation 6f5d0bc5-b58f-4317-8368-aecfa86792f2 · outbound

This paper cites Diffusion illusions: Hiding images in plain sight.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Diffusion illusions: Hiding images in plain sight

Reference 5

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Observation 28fe8051-3284-4b2b-bfb5-05c4bffb6c6d · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing

Reference 6

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Observation 6ca8905e-92a6-4f11-9ebf-7af1a60ded69 · outbound

This paper cites Looking- glass: Generative anamorphoses via laplacian pyramid warping.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Looking- glass: Generative anamorphoses via laplacian pyramid warping

Reference 7

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Observation ee0978c7-61f9-4412-b00d-1b997d79b58d · outbound

This paper cites Artistic style transfer with internal-external learning and contrastive learning.Advances in Neural Information Processing Systems, 34:26561–26573, 2021.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Artistic style transfer with internal-external learning and contrastive learning.Advances in Neural Information Processing Systems, 34:26561–26573, 2021

Reference 8

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Observation 91063cb8-ee9f-47b7-bce5-a6ce0ff0443f · outbound

This paper cites Optical illusion shape texturing using repeated asymmetric patterns.The Visual Computer, 30(6):809–819, 2014.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Optical illusion shape texturing using repeated asymmetric patterns.The Visual Computer, 30(6):809–819, 2014

Reference 9

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Observation 5fbba2fe-5b2f-4290-86fb-eea5a099806b · outbound

This paper cites Att- adapter: A robust and precise domain-specific multi-attributes t2i diffusion adapter via condi- tional variational autoencoder.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Att- adapter: A robust and precise domain-specific multi-attributes t2i diffusion adapter via condi- tional variational autoencoder

Reference 10

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Observation 4fa73c9e-cad4-4f44-b203-04edba5210d8 · outbound

This paper cites Camouflage images.ACM Trans.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Camouflage images.ACM Trans

Reference 11

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Observation 4471424d-39db-4938-bbf8-c4b6fcb7b272 · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints.Advances in Neural Information Processing Systems, 35:25683–25696, 2022.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Improving diffusion models for inverse problems using manifold constraints.Advances in Neural Information Processing Systems, 35:25683–25696, 2022

Reference 12

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Observation 962c9e46-7a62-4437-b9f5-ab742f91b45c · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer

Reference 13

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Observation 2a9e0a1f-af6c-4b5b-8e5a-68a6a74b27b7 · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Latentpaint: Image inpainting in latent space with diffusion models

Reference 14

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Observation 3188fbd0-b3d5-4d74-8864-1ad79664d357 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Diffusion models beat gans on image synthesis

Reference 15

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Observation d94766eb-15de-4b06-ad3b-33a2862e95ad · outbound

This paper cites A variational approach to geometric-optical illusions modeling.Proceedings of Fechner Day, 27(1):41–46, 2011.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis A variational approach to geometric-optical illusions modeling.Proceedings of Fechner Day, 27(1):41–46, 2011

Reference 16

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Observation 245cfc50-0321-483e-a891-73400fd38403 · outbound

This paper cites Stam: Zero-shot style transfer using diffusion model via attention modulation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Stam: Zero-shot style transfer using diffusion model via attention modulation

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Observation 4e8cea7d-b66b-4564-8347-aba44b943ba8 · outbound

This paper cites Generative diffusion prior for unified image restoration and enhancement.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Generative diffusion prior for unified image restoration and enhancement

Reference 18

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Observation 16d73488-86ae-41cb-9c4f-3f9e184e130e · outbound

This paper cites Motion without movement.ACM Siggraph Computer Graphics, 25(4):27–30, 1991.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Motion without movement.ACM Siggraph Computer Graphics, 25(4):27–30, 1991

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Observation 8deea07d-0ec9-437f-8ebf-facdceb85f86 · outbound

This paper cites Style transfer in text: Exploration and evaluation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Style transfer in text: Exploration and evaluation

Reference 20

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Observation e67486a4-39a0-432c-870f-a3dcc1683443 · outbound

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Unresolved cited work

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Observation 2cfe1558-3a6e-4474-981f-2d659b221359 · outbound

This paper cites Fbsdiff: Plug-and-play frequency band substitution of diffusion features for highly controllable text-driven image translation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Fbsdiff: Plug-and-play frequency band substitution of diffusion features for highly controllable text-driven image translation

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Observation cc09ce4b-0596-4957-b8b9-5b97e3ef6454 · outbound

This paper cites Sragan: Saliency regularized and attended generative adversarial network for chinese ink-wash painting style transfer.Pattern Recognition, 162:111344, 2025.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Sragan: Saliency regularized and attended generative adversarial network for chinese ink-wash painting style transfer.Pattern Recognition, 162:111344, 2025

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Observation d5c754f7-575b-46ec-85b6-dff0632fb87a · outbound

This paper cites Rpd-gan: Learning to draw realistic paintings with generative adversarial network.IEEE Transactions on Image Processing, 29:8706–8720, 2020.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Rpd-gan: Learning to draw realistic paintings with generative adversarial network.IEEE Transactions on Image Processing, 29:8706–8720, 2020

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Observation 001f6441-4e41-4b07-8fb8-0d595ed0fbfc · outbound

This paper cites Learning to incorporate texture saliency adaptive attention to image cartoonization.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Learning to incorporate texture saliency adaptive attention to image cartoonization

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Observation 191c2b2d-6389-4a41-8a92-14057e526682 · outbound

This paper cites Frequency-controlled diffusion model for versatile text-guided image-to-image translation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Frequency-controlled diffusion model for versatile text-guided image-to-image translation

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Observation 87b6e01d-b47e-49a3-b3a8-3a3b43d11383 · outbound

This paper cites Ptdiffusion: Free lunch for generating optical illusion hidden pictures with phase-transferred diffusion model.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Ptdiffusion: Free lunch for generating optical illusion hidden pictures with phase-transferred diffusion model

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Observation 5533a42a-f8d2-4fa9-8d86-262c4e52f703 · outbound

This paper cites A neural algorithm of artistic style.Nature Communica- tions, 2015.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis A neural algorithm of artistic style.Nature Communica- tions, 2015

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Observation 599c6a68-cfec-4818-bbc0-4b5344d06933 · outbound

This paper cites Factorized diffusion: Perceptual illusions by noise decomposition.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Factorized diffusion: Perceptual illusions by noise decomposition

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Observation 2e1da7cc-0d87-4bbd-b58c-ef9ce6adc142 · outbound

This paper cites Visual anagrams: Generating multi-view optical illusions with diffusion models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Visual anagrams: Generating multi-view optical illusions with diffusion models

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Observation 2222f244-d9f3-4b04-ad1e-d87ce738ee21 · outbound

This paper cites On the synthesis of visual illusions using deep generative models.Journal of Vision, 22(8):2–2, 2022.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis On the synthesis of visual illusions using deep generative models.Journal of Vision, 22(8):2–2, 2022

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Observation e8a52665-cfe0-4ca6-b216-1a5debf47e6e · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020

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Observation 1c6db98c-7838-48bc-9ab0-ea16af23f193 · outbound

This paper cites Ganmouflage: 3d object nondetection with texture fields.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Ganmouflage: 3d object nondetection with texture fields

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Observation 4da64f2a-9e1c-45a8-874e-18c8213d9004 · outbound

This paper cites Chipgan: A generative adversarial network for chinese ink wash painting style transfer.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Chipgan: A generative adversarial network for chinese ink wash painting style transfer

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Observation 62fb4c54-669d-485b-ae1c-8b1b6ce782e6 · outbound

This paper cites Style aligned image generation via shared attention.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Style aligned image generation via shared attention

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Observation b2433231-1df2-4b13-8b23-e0622adea291 · outbound

This paper cites Classifier-free diffusion guidance.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Classifier-free diffusion guidance

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Observation a3f49842-8d69-43d0-85cb-4566bf200fc3 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

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Observation 3685b137-241b-4d69-b553-99afbdaf177b · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Arbitrary style transfer in real-time with adaptive instance normalization

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Observation c0a29f0e-11e6-4004-927a-702567204b34 · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Image-to-image translation with conditional adversarial networks

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:163d0ad3a86938b688a568e74cb3342e57925d09e8341ebf97bd6660957bb092

Observation 38448adc-0b95-414e-b8d8-dfd76bcc4d9a · outbound

This paper cites Infiniteyou: Flexible photo recrafting while preserving your identity.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Infiniteyou: Flexible photo recrafting while preserving your identity

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Observation 98d39361-cc0e-442c-af05-1ee127da8828 · outbound

This paper cites Deep learning for fashion style generation.IEEE Transactions on Neural Networks and Learning Systems, 33(9):4538–4550, 2021.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Deep learning for fashion style generation.IEEE Transactions on Neural Networks and Learning Systems, 33(9):4538–4550, 2021

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Observation 6142aa93-d422-4b31-98c5-e46766af7d84 · outbound

This paper cites Scenimefy: Learning to craft anime scene via semi-supervised image-to-image translation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Scenimefy: Learning to craft anime scene via semi-supervised image-to-image translation

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Observation 7c4a5efb-abf5-4148-a2b3-f0c39f1c4bbc · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Perceptual losses for real-time style transfer and super-resolution

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Observation 1fd05696-31e1-4404-860f-2c7e9569a392 · outbound

This paper cites SyncTweedies: A General Generative Framework Based on Synchronized Diffusions.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis SyncTweedies: A General Generative Framework Based on Synchronized Diffusions

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Observation 46492b75-89b1-432f-a1ef-593c2d1b3f73 · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Style transfer by relaxed optimal transport and self-similarity

Reference 45

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:1d2cab1a2e45067bf65cc402ed561f3173de444eca6132281a9f167ab7687d0b

Observation 2df6dbdb-cfcc-45dc-8ebe-2bf324d45141 · outbound

This paper cites Learning multiple layers of features from tiny images.(2009), 2009.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Learning multiple layers of features from tiny images.(2009), 2009

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:ebaa45cf5508490221751ec339f4ab6b0dbaf32f80b1d57ac82eab61689533ba

Observation a72eca3e-482c-45dc-b760-d0e951c0f50f · outbound

This paper cites Universal style transfer via feature transforms.Advances in neural information processing systems, 30, 2017.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Universal style transfer via feature transforms.Advances in neural information processing systems, 30, 2017

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:114ed9a18860bb7ac4d6a296a3bc18b8078bdaf9420c733fa59688a1029bd59d

Observation 7e9501b7-8e03-4d50-911b-ca28b41d90a7 · outbound

This paper cites Control color: Multimodal diffusion-based interactive image colorization: Z.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Control color: Multimodal diffusion-based interactive image colorization: Z

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:32c8b2b37cabad7fc8a98eb2939be7283a2c1fbf0a0dab5b1620ed956e60ac25

Observation 1b9c5d48-3f77-49f6-b971-5b0c051e02c2 · outbound

This paper cites Diffusion-based Aesthetic QR Code Generation via Scanning-Robust Perceptual Guidance.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Diffusion-based Aesthetic QR Code Generation via Scanning-Robust Perceptual Guidance

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:890e773bc793c2647b4ba6dc0159a4a7078567b728b2d1d8aa70ccd538ac4af8

Observation 0a400d5d-b2c8-474c-b42e-e60fa16c2803 · outbound

This paper cites Diffqrcoder: Diffusion-based aesthetic qr code generation with scanning robustness guided iterative refinement.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Diffqrcoder: Diffusion-based aesthetic qr code generation with scanning robustness guided iterative refinement

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:353cc43d4e138213ba614e55a9e668715fdf7f27d44a28fb8313bad13e07c408

Observation 443bd41b-a3bc-4c9e-8ab1-f445e972f61e · outbound

This paper cites Drafting and revision: Laplacian pyramid network for fast high-quality artistic style transfer.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Drafting and revision: Laplacian pyramid network for fast high-quality artistic style transfer

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:32b485152568fde762eb9bd2d9e6532c7b82c5d0a98a91f917081d90ab2e008f

Observation 030d3339-7137-4aa7-b525-714e5d49c520 · outbound

This paper cites Non-confusing generation of customized concepts in diffusion models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Non-confusing generation of customized concepts in diffusion models

Reference 52

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:f9e5314a251403c002dcb6d29b2aa5122536573510e6888c59fe7ada1ac13d4a

Observation 41ccf984-6c01-4bc1-84a9-13ce54552d6d · outbound

This paper cites Structure matters: Tackling the semantic discrepancy in diffusion models for image inpainting.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Structure matters: Tackling the semantic discrepancy in diffusion models for image inpainting

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:e91fbe1f309c90b7f5029b94cc2026f01c15c0433cd67c26db53254dc6d98f18

Observation 92b015f9-2ac3-4080-9ae4-f3779aa38acc · outbound

This paper cites Arttypo: Multi- level controlled artistic typography with iterative feedback.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Arttypo: Multi- level controlled artistic typography with iterative feedback

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:a1805daca8916c056123b646d7dc4eaa62f0a12f5276ad5cc221d04ebc7f4d83

Observation e40ffa5b-e278-467e-89af-a68fd843f093 · outbound

This paper cites Adaattn: Revisit attention mechanism in arbitrary neural style transfer.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Adaattn: Revisit attention mechanism in arbitrary neural style transfer

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:f5b991ada365efa14b4113bd13d9ce671da6c332b2dbaa81fd232939f1352511

Observation c795823b-6b2e-49b3-b61b-6fe21214f6d3 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787, 2022.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in neural information processing systems, 35:5775–5787, 2022

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:5b7ea243d0af62e70eac2b1aa99ab8a7f9f8063981322c4b271282820f25dbbb

Observation aedcaaed-e427-44df-b49c-0d8469f4ea8b · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Null-text inversion for editing real images using guided diffusion models

Reference 57

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:863b5a7ad0dd05d3f57026dd36d12850a835effcded712458e98c7ae7bb28fc3

Observation 5f7e0e29-800b-47a6-a9ea-e9e96f8d72f1 · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:1256f0ce0e5a0fbb82a135ae69456f1dc92ab7f9c3bf40a9ed60398bb95cf666

Observation dcba894b-f103-474a-8bc2-761d38bb0eda · outbound

This paper cites Swiftedit: Lightning fast text-guided image editing via one-step diffusion.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Swiftedit: Lightning fast text-guided image editing via one-step diffusion

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:9a0394424a28ecb875f78f4c4b2a664584532a21301ec4d5b62197eea88b15df

Observation 382cb6da-ceb7-4788-b391-3e409ba73e9a · outbound

This paper cites Hybrid images.ACM Transactions on Graphics (TOG), 25(3):527–532, 2006.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Hybrid images.ACM Transactions on Graphics (TOG), 25(3):527–532, 2006

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:b84db191e98c313a4bc2e400a989bdc0bf08b3f43a8b4eda19f36fb1a08d72ce

Observation a46b876f-9dc5-41a4-9dbe-2a21fd6fb274 · outbound

This paper cites Camou- flaging an object from many viewpoints.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Camou- flaging an object from many viewpoints

Reference 61

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:0cd376d89aa8a03371c3de6cb28487887548ef022d07ef1c441a977cbbd514a9

Observation d6b14df0-9ff5-46bf-bab1-598f6e34faf7 · outbound

This paper cites Arbitrary style transfer with style-attentional networks.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Arbitrary style transfer with style-attentional networks

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:b26be971bbf03677c7cc7c6312c84c8b4ba575b8951a7fa7efb83eb6c95130b1

Observation 1d3cbced-0c09-4340-8a8f-a94fa4f100ff · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis DreamFusion: Text-to-3D using 2D Diffusion

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:1449ccb34ae0021b37ac3badce2ed1777016aa573a27d8b6a68fb2b6156553ff

Observation 194b97b6-a80b-4820-afc0-c46121720e8b · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Learning transferable visual models from natural language supervision

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:0144ce32a4cbc486998a88aeee54330aa07693fc1c693cf8a439484190b5d1f7

Observation 5fc4afec-7b45-477a-aa6f-1696748a6485 · outbound

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

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis High- resolution image synthesis with latent diffusion models

Reference 65

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:6fabe17a52650ceda074873a48d17f203b31196d0dd0eb2a213cff19599f85c7

Observation 984503c7-d046-479b-8964-7ef66bc524c7 · outbound

This paper cites Palette: Image-to-image diffusion models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Palette: Image-to-image diffusion models

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:96da05a3d4dfac621136b12b422467e059594ca1bee1683b316b1bd2bcd062a5

Observation cdddee7e-293b-4216-b9ff-9a47bf2b0531 · outbound

This paper cites Adversarial diffusion distillation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Adversarial diffusion distillation

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:6dbb4576dd7648b08535cd495afb6a5d0886243444a8f90b6504f89bb178c880

Observation 1ea58ebf-8d93-46e8-a8ed-12f81ddbfd87 · outbound

This paper cites Improved aesthetic predictor.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Improved aesthetic predictor

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:1e431af535dd298be6cf623f57309a80457fee103933793df4a81822d42544bb

Observation f2076281-8a21-428b-832b-96ecbac10d60 · outbound

This paper cites Denoising diffusion implicit models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Denoising diffusion implicit models

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:1878ce97082356252b0a1600c2bb7ea04028e0e77364086fcf541ccdcfd5fe89

Observation 9d694023-6e26-4aba-9a30-dadd7bbcf9d7 · outbound

This paper cites Denoising Diffusion Implicit Models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Denoising Diffusion Implicit Models

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:80a114a7d1267372233fa37900eed63e7b70bc0ba9960b655ddb156c1be96548

Observation 9323263a-f611-4cba-bce7-cfdffe201508 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Plug-and-play diffusion features for text-driven image-to-image translation

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:dfacfda85d996a8ba3adfef48c7288a625391bb7e16c00dc192c25e36c0cad9e

Observation 313f3bc7-e52b-4eff-bedf-c6e4d8466a20 · outbound

This paper cites A computational model for color assimila- tion illusions and color constancy.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis A computational model for color assimila- tion illusions and color constancy

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:0479fd80d9b1419ea2a6c0636404d26529b695d2542e2c698de13f6b8d75e28d

Observation 532444a2-9c67-42d9-8942-71d40789a9dd · outbound

This paper cites Designdiffusion: High-quality text-to-design image generation with diffusion models.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Designdiffusion: High-quality text-to-design image generation with diffusion models

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source=pdf_text observed=2026-07-15T10:47:09.455756Z digest=sha256:1469c97f0a024b643cefd8994dde378c48e4a618b4661d2226121d24578a5dc8

Observation 465180ee-ffd0-4a82-8df7-398ac8935116 · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Diffir: Efficient diffusion model for image restoration

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Observation 7e04704c-0834-481f-aedd-c6c4fc95cf81 · outbound

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Dg-font: Deformable generative networks for unsupervised font generation

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This paper cites Diffusion- based visual anagram as multi-task learning.

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Diffusion- based visual anagram as multi-task learning

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Controllable artistic text style transfer via shape-matching gan

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Apdrawinggan: Generating artistic portrait drawings from face photos with hierarchical gans

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Freedom: Training- free energy-guided conditional diffusion model

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Diffusing colors: Image colorization with text guided diffusion

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Adding conditional control to text-to-image diffusion models

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Deep camouflage images

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Attention calibration for disentan- gled text-to-image personalization

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Domain enhanced arbitrary image style transfer via contrastive learning

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Inversion-based style transfer with diffusion models

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Enabling instructional image editing with in-context generation in large scale diffusion transformer

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Observation 4d3a04f5-370a-43b9-b8cc-5a150a532482 · outbound

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Attention distillation: A unified approach to visual characteristics transfer

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Unpaired image-to-image translation using cycle-consistent adversarial networks

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Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis Denoising diffusion models for plug-and-play image restoration

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