Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing | Paper Citation Record

Observation 799f86a0-19be-424a-bf83-ff4067b65b02 · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Sdxl: Improving latent diffusion models for high-resolution image synthesis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.983496Z

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Observation a3b84a73-9e37-46ed-8c11-5857fe4fcd79 · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Designing a practical degradation model for deep blind image super-resolution,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.955016Z

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Observation 70dba89a-b1e5-42f5-9562-85834f8cf7d2 · outbound

This paper cites Inf-dit: Upsampling any-resolution image with memory- efficient diffusion transformer,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Inf-dit: Upsampling any-resolution image with memory- efficient diffusion transformer,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.998144Z

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Observation 443e2f6f-95a8-43c2-a929-c822a3190f29 · outbound

This paper cites Demofusion: Democratising high-resolution image generation with no $$$,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Demofusion: Democratising high-resolution image generation with no $$$,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.960309Z

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Observation 64a554e1-28c7-41a4-9c93-4e3db949b76a · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.015858Z

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Observation 10027673-8fdf-49e5-82ba-a4ba677beff5 · outbound

This paper cites Denoising diffusion probabilistic models.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Denoising diffusion probabilistic models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.928056Z

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Observation a4684f60-ea0b-418c-bdf6-13793ec90dcc · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Adding conditional control to text-to-image diffusion models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.987749Z

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Observation e097afa8-f61d-4eed-a56d-b7e4ac75261f · outbound

This paper cites Weather translation via weather-cue transferring,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Weather translation via weather-cue transferring,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.921229Z

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Observation 89fdb98c-d77a-4b80-b8aa-bab81d54f145 · outbound

This paper cites Targeting accurate object extraction from an image: A comprehensive study of natural image matting,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Targeting accurate object extraction from an image: A comprehensive study of natural image matting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.962066Z

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Observation 31bb3bbf-07d6-4d38-b42f-2b9e09d663fe · outbound

This paper cites Verbal-person nets: Pose-guided multi-granularity language-to-person generation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Verbal-person nets: Pose-guided multi-granularity language-to-person generation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.005328Z

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Observation 3e531194-6bab-4b90-bd64-3b526f321fd3 · outbound

This paper cites Shunting at arbitrary feature levels via spatial disentanglement: Toward selective image trans- lation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Shunting at arbitrary feature levels via spatial disentanglement: Toward selective image trans- lation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.973073Z

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Observation 19f49cdd-475f-43d3-b19e-992bfd3f9f65 · outbound

This paper cites Disp+v: A unified framework for disentangling prototype and variation from single sample per person,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Disp+v: A unified framework for disentangling prototype and variation from single sample per person,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.906539Z

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Observation dd444184-ba62-4267-926f-600a5efe35cb · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing High- resolution image synthesis with latent diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.007053Z

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Observation 69562f85-b8c6-4f87-875a-4527a3eb8f20 · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Imagic: Text-based real image editing with diffusion models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.942125Z

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Observation 797fc971-788a-48d4-8c37-190c0a3d0563 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.900931Z

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Observation 506866f0-7249-4eb7-b861-7f30a89d61fd · outbound

This paper cites Resadapter: Domain consistent resolution adapter for diffusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Resadapter: Domain consistent resolution adapter for diffusion models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.963706Z

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Observation f07bf79f-b100-46f1-a4a0-5646094d344c · outbound

This paper cites Any-size- diffusion: Toward efficient text-driven synthesis for any-size hd images,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Any-size- diffusion: Toward efficient text-driven synthesis for any-size hd images,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.982013Z

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Observation 541c212b-af78-493e-ae0e-e368e35a7c3c · outbound

This paper cites Multidiffusion: fusing diffusion paths for controlled image generation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Multidiffusion: fusing diffusion paths for controlled image generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.008124Z

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Observation e4349741-b765-4a45-b13a-120df9675668 · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:45:04.703055Z

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Observation cd36934f-9d80-4dd3-ad35-1a5aea40ab60 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.001851Z

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Observation 9ff0cdea-3dc4-40a4-a2b3-57e19725a035 · outbound

This paper cites Pyramid grafting network for one-stage high resolution saliency detection,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Pyramid grafting network for one-stage high resolution saliency detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.944046Z

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Observation 3ff1dfef-b5a5-4b4f-b2ca-19f8fa5ca8db · outbound

This paper cites Grig: Few-shot generative residual image inpainting,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Grig: Few-shot generative residual image inpainting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.949085Z

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Observation 3ae02051-604c-40bb-a8c1-f4e1d9f220e9 · outbound

This paper cites Anywhere: a multi-agent framework for user-guided, reliable, and diverse foreground-conditioned image generation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Anywhere: a multi-agent framework for user-guided, reliable, and diverse foreground-conditioned image generation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.967235Z

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Observation 41332df9-c0af-4682-83b4-63947f293870 · outbound

This paper cites Diffusion model-based image editing: A survey,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Diffusion model-based image editing: A survey,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.999713Z

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Observation 1791f4ab-707e-4033-91d1-890ee2ecc635 · outbound

This paper cites Facemug: A multimodal generative and fusion framework for local facial editing,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Facemug: A multimodal generative and fusion framework for local facial editing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.980610Z

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Observation 33606877-c072-4c3d-8d38-18e531ba04e2 · outbound

This paper cites Contextual residual aggregation for ultra high-resolution image inpainting,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Contextual residual aggregation for ultra high-resolution image inpainting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.918733Z

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Observation 924448b7-d448-4b95-bc04-57f91160ebfd · outbound

This paper cites Aggregated contextual transfor- mations for high-resolution image inpainting,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Aggregated contextual transfor- mations for high-resolution image inpainting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.928467Z

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Observation 8b8b3581-4156-4077-ad3f-e5c9a0e26d39 · outbound

This paper cites Coordfill: efficient high-resolution image inpainting via parameterized coordinate querying,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Coordfill: efficient high-resolution image inpainting via parameterized coordinate querying,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.893419Z

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Observation 43a008e1-d96a-44ae-96f4-ca0295fd3356 · outbound

This paper cites Diffusion-4k: Ultra- high-resolution image synthesis with latent diffusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Diffusion-4k: Ultra- high-resolution image synthesis with latent diffusion models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.014106Z

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Observation 217aba48-a2d2-4738-8a7f-0cc2d485b3d2 · outbound

This paper cites Hd-painter: High-resolution and prompt-faithful text-guided image inpainting with diffusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Hd-painter: High-resolution and prompt-faithful text-guided image inpainting with diffusion models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.915407Z

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Observation a676a400-543a-44e8-9a64-89f328aab0b9 · outbound

This paper cites High-Resolution Image Editing via Multi-Stage Blended Diffusion.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing High-Resolution Image Editing via Multi-Stage Blended Diffusion

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:45:04.696110Z

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Observation d19dc9e9-5095-4fdd-9a03-c9292a87a1a4 · outbound

This paper cites Blended diffusion for text- driven editing of natural images.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Blended diffusion for text- driven editing of natural images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.986012Z

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Observation 8b6cc68d-4bad-4856-b117-fed7ef511e4c · outbound

This paper cites Real-esrgan: Training real- world blind super-resolution with pure synthetic data.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Real-esrgan: Training real- world blind super-resolution with pure synthetic data

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.980171Z

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Observation 88afab70-f026-4803-b5a4-759f4ba8c0ef · outbound

This paper cites Denoising diffusion implicit models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Denoising diffusion implicit models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.017776Z

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Observation 162aebc2-ec77-4da8-8a0e-f41cf4200e6d · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Latentpaint: Image inpainting in latent space with diffusion models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.013894Z

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Observation 99754dd4-e108-4786-b9c2-af93875ee3d0 · outbound

This paper cites Gradpaint: Gradient-guided inpainting with diffusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Gradpaint: Gradient-guided inpainting with diffusion models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.947407Z

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Observation ca20b684-8349-4d30-b931-9ac4b9917d69 · outbound

This paper cites Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.996451Z

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Observation caffa1d8-0024-4768-8589-0de7de118aa8 · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Smartbrush: Text and shape guided object inpainting with diffusion model,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.003614Z

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Observation 8d318fb7-dba0-45da-a7de-f1be367e37b5 · outbound

This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.882550Z

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Observation 312a98ce-090c-4c24-a3a3-2c5e8f7faa50 · outbound

This paper cites A- sdm: Accelerating stable diffusion through model assembly and feature inheritance strategies,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing A- sdm: Accelerating stable diffusion through model assembly and feature inheritance strategies,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.954252Z

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Observation dd8aaad8-e0af-4b76-8f4e-a65c2097eae4 · outbound

This paper cites Ultra-resolution adaptation with ease,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Ultra-resolution adaptation with ease,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.970741Z

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Observation 87a877b9-2511-442d-b100-e94057f239d5 · outbound

This paper cites Sine: Single image editing with text-to-image diffusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Sine: Single image editing with text-to-image diffusion models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.016030Z

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Observation 9d366b1c-5eda-479e-aeb9-6a45b293f33d · outbound

This paper cites A latent space of stochastic diffusion models for zero-shot image editing and guidance,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing A latent space of stochastic diffusion models for zero-shot image editing and guidance,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.930290Z

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Observation f55b3aef-f06d-4ed1-8eb9-739e465b35c0 · outbound

This paper cites LASPA: Latent Spatial Alignment for Fast Training-free Single Image Editing.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing LASPA: Latent Spatial Alignment for Fast Training-free Single Image Editing

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:45:04.704082Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56f6cf5e-2d5e-4726-bf0d-520726b43687 · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.986967Z

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Observation df819223-1378-4d8e-ab1f-dcac2d9bc114 · outbound

This paper cites Proxedit: Improving tuning- free real image editing with proximal guidance,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Proxedit: Improving tuning- free real image editing with proximal guidance,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.985262Z

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Observation b1f713a1-5db4-4292-ba9d-f94c6440c3a9 · outbound

This paper cites Anyedit: Mastering unified high-quality image editing for any idea,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Anyedit: Mastering unified high-quality image editing for any idea,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.933776Z

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Observation bf277845-7555-40e5-b53a-15f85ab0b155 · outbound

This paper cites Scalecrafter: Tuning-free higher-resolution visual generation with diffusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Scalecrafter: Tuning-free higher-resolution visual generation with diffusion models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.938778Z

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Observation 66d4e61b-5ba6-4d12-b15b-e814625b1e9e · outbound

This paper cites Training-free diffusion model adaptation for variable-sized text-to-image synthesis,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Training-free diffusion model adaptation for variable-sized text-to-image synthesis,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.940583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dad681fd-e8e3-43c1-993a-461e8137b58b · outbound

This paper cites I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:45:04.701636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a514f3ba-e45c-4737-90d9-216eb30c1079 · outbound

This paper cites Beyondscene: Higher-resolution human-centric scene generation with pretrained diffu- sion,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Beyondscene: Higher-resolution human-centric scene generation with pretrained diffu- sion,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.967394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4df86a37-7cd4-4433-980a-1a3bf6443ba5 · outbound

This paper cites Generative powers of ten,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Generative powers of ten,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.938408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70f98af5-ee29-4812-a67c-2c4a226600ec · outbound

This paper cites RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:45:04.706689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 18c2243b-6dda-4c08-a1d1-507d86363aef · outbound

This paper cites Is one gpu enough? pushing image generation at higher-resolutions with foundation models.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Is one gpu enough? pushing image generation at higher-resolutions with foundation models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.958587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d6d6c49-3de4-411c-8d2c-17d32298b32c · outbound

This paper cites Syncdiffusion: Coherent mon- tage via synchronized joint diffusions,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Syncdiffusion: Coherent mon- tage via synchronized joint diffusions,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.965383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc570414-47b3-4558-beb4-260d874e0637 · outbound

This paper cites Elasticdiffusion: Training-free arbitrary size image generation through global-local con- tent separation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Elasticdiffusion: Training-free arbitrary size image generation through global-local con- tent separation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.911957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a2d33b4-7450-4339-bfad-8f44aa7c0d2c · outbound

This paper cites Upsample Guidance: Scale Up Diffusion Models without Training.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Upsample Guidance: Scale Up Diffusion Models without Training

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-08T15:45:04.697508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2adb07bf-d5ed-4188-a4d2-e7e697075cc3 · outbound

This paper cites Make a cheap scaling: A self-cascade diffusion model for higher-resolution adaptation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Make a cheap scaling: A self-cascade diffusion model for higher-resolution adaptation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.916962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a2c9b60-11b4-42eb-95d2-83d097dc44b5 · outbound

This paper cites Dit4edit: Diffusion transformer for image editing,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Dit4edit: Diffusion transformer for image editing,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.009983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5252223-a63b-4947-8993-82922311b8ba · outbound

This paper cites Resmaster: Mastering high-resolution image generation via structural and fine- grained guidance,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Resmaster: Mastering high-resolution image generation via structural and fine- grained guidance,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.991171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 850ac37f-839b-44b8-afbf-e88eff293682 · outbound

This paper cites Hiprompt: Tuning-free higher-resolution generation with hierarchical mllm prompts,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Hiprompt: Tuning-free higher-resolution generation with hierarchical mllm prompts,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.003881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4af5276-71b9-4970-bb5f-37c628024d8d · outbound

This paper cites Accdiffusion: An accurate method for higher-resolution image generation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Accdiffusion: An accurate method for higher-resolution image generation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.017612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 633307dc-a102-4f88-991c-596bdb9eb775 · outbound

This paper cites Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.992926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e33cb83e-ffa3-41d7-857e-64eac7f07b39 · outbound

This paper cites Megafusion: Extend diffusion models towards higher-resolution image generation without further tuning,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Megafusion: Extend diffusion models towards higher-resolution image generation without further tuning,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.988737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 154f7525-218c-4e20-b609-f37ada908cae · outbound

This paper cites Fouriscale: A frequency perspective on training-free high-resolution image synthesis,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Fouriscale: A frequency perspective on training-free high-resolution image synthesis,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.990420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6a883b8-3bce-416d-842c-dd1c8c7ede70 · outbound

This paper cites Diffusehigh: Training-free progressive high-resolution image synthesis through structure guidance,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Diffusehigh: Training-free progressive high-resolution image synthesis through structure guidance,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.947814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70996315-6910-412b-9aee-30bcc93e584e · outbound

This paper cites Freeu: Free lunch in diffusion u-net,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Freeu: Free lunch in diffusion u-net,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.940434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8fc01c3-8460-46c3-b6fc-f7a77110a286 · outbound

This paper cites Todo: Token downsampling for efficient generation of high-resolution images,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Todo: Token downsampling for efficient generation of high-resolution images,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.012189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cd4ee2b-32d1-4bf3-8a99-5bb8f78bff12 · outbound

This paper cites Token merging: Your vit but faster,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Token merging: Your vit but faster,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.001688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 689918a5-af34-45f3-a99e-540cef2b1b1d · outbound

This paper cites Hidiffu- sion: Unlocking higher-resolution creativity and efficiency in pretrained diffusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Hidiffu- sion: Unlocking higher-resolution creativity and efficiency in pretrained diffusion models,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.995375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3567801b-fb61-45cb-a70e-a42e5174dc8a · outbound

This paper cites Poisson image editing,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Poisson image editing,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.969360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0eaf3121-58f0-49a9-9b59-435286390915 · outbound

This paper cites Prompt-to-prompt image editing with cross-attention control,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Prompt-to-prompt image editing with cross-attention control,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.999867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42708502-1397-411f-99e0-7d206b023b55 · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Null- text inversion for editing real images using guided diffusion models,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.943882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55a1e51b-ca69-484c-b532-e39c6ee00ed7 · outbound

This paper cites Chatgpt,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Chatgpt,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.978768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 147513ba-2467-4c0b-95b7-3ca7d445112a · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Photo-realistic single image super-resolution using a generative adversarial network,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.012012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6af815e-2521-4ba0-9c82-7a05c53bf653 · outbound

This paper cites Large scale image completion via co-modulated generative adversarial networks,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Large scale image completion via co-modulated generative adversarial networks,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.957706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6f8dbc0-b82c-428d-b661-9cd262818e0d · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Learning transferable visual models from natural language supervision

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.937196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84221d4c-13b9-4cdf-b699-6e55763121cb · outbound

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing The unreasonable effectiveness of deep features as a perceptual metric

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.963543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30cbbd44-39d1-4974-993b-7fe69c7f36dd · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.932437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e95be823-2055-4518-ab95-f3a305cb8b8c · outbound

This paper cites an unresolved cited work.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-07-08T15:45:04.950608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5cb308be-f048-45af-8e4f-8b6b11571f58 · outbound

This paper cites Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.897633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71973a26-7c71-4569-acac-1ca4484accab · outbound

This paper cites W¨urstchen: An efficient architecture for large-scale text-to-image dif- fusion models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing W¨urstchen: An efficient architecture for large-scale text-to-image dif- fusion models,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.968899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37d462cb-61aa-4660-9cfe-3d7805bd8161 · outbound

This paper cites SANA: Efficient high-resolution text-to- image synthesis with linear diffusion transformers,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing SANA: Efficient high-resolution text-to- image synthesis with linear diffusion transformers,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.992039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae5b19ea-bc48-4590-8547-0df8b7cb46ea · outbound

This paper cites Do inpainting yourself: Generative facial inpainting guided by exemplars,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Do inpainting yourself: Generative facial inpainting guided by exemplars,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.008873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f96a899-ad12-4be9-9149-f34e12a47ec1 · outbound

This paper cites Advanced auto labeling solution with added features,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Advanced auto labeling solution with added features,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.953272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30210d7b-4e1b-4f53-b6f7-ace248e0e3b6 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.972802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b076ccec-92cd-4b3d-a917-ea64a3c24fb9 · outbound

This paper cites Vision transformers for dense prediction.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Vision transformers for dense prediction

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:05.010504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3397aa6-65f9-4e0f-97a3-f4c6378f4883 · outbound

This paper cites Openpose: Realtime multi-person 2d pose estimation using part affinity fields,.

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing Openpose: Realtime multi-person 2d pose estimation using part affinity fields,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T15:45:04.942301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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