Paper Citation Record · LEDGER

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation

As of 8 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 3 inbound Pith citation observations for arXiv:2506.01331.

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

pith.paper-citation-record.v1
2506.01331 v1

Coverage vector

measured 89 of 89 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

89 of 89 outbound references displayed

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External citation measurements

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Outbound references

Observation 6b51dfb4-35ba-4798-b3f1-d2effcabb94a · outbound

This paper cites Denoising diffusion probabilistic models,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Denoising diffusion probabilistic models,

Reference 1

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This paper cites Denoising diffusion implicit models,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Denoising diffusion implicit models,

Reference 2

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Observation f5004a1b-c7d7-4748-b7a5-b21041aed2e3 · outbound

This paper cites Score-based generative modeling through stochas- tic differential equations,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Score-based generative modeling through stochas- tic differential equations,

Reference 3

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Improved denoising diffusion probabilistic models,

Reference 4

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This paper cites Maximum like- lihood training of score-based diffusion models,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Maximum like- lihood training of score-based diffusion models,

Reference 5

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This paper cites Score-based generative mod- eling in latent space,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Score-based generative mod- eling in latent space,

Reference 6

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This paper cites Diffusion models beat gans on image synthesis,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Diffusion models beat gans on image synthesis,

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This paper cites Elucidating the design space of diffusion-based generative models,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Elucidating the design space of diffusion-based generative models,

Reference 8

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation GLIDE: Towards photorealistic image generation and editing with text-guided diffusion models,

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This paper cites Classifier-Free Diffusion Guidance.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Classifier-Free Diffusion Guidance

Reference 10

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Observation ca63cb4c-885d-4c69-ac40-9eb840e97311 · outbound

This paper cites Multimodal image synthesis and edit- ing: The generative ai era,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Multimodal image synthesis and edit- ing: The generative ai era,

Reference 11

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This paper cites Diffusion models: A comprehensive survey of methods and applications,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Diffusion models: A comprehensive survey of methods and applications,

Reference 12

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This paper cites Scalable diffusion models with transform- ers,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Scalable diffusion models with transform- ers,

Reference 13

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Observation 9aebffb9-c2af-4b65-95c0-eb884a54bd29 · outbound

This paper cites Diffusion models in vision: A survey,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Diffusion models in vision: A survey,

Reference 14

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Observation f2878ff6-0482-4816-bfcf-cd41b59589a5 · outbound

This paper cites A diffusion model translator for efficient image-to-image translation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation A diffusion model translator for efficient image-to-image translation,

Reference 15

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Observation bc64f171-a26d-4b9e-8de4-01724722b49d · outbound

This paper cites Photorealistic text-to-image diffusion models with deep lan- guage understanding,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Photorealistic text-to-image diffusion models with deep lan- guage understanding,

Reference 16

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Observation 75dbdbf6-d79f-48c6-aae1-2ef1b24dbe80 · outbound

This paper cites Imagen 3,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Imagen 3,

Reference 17

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Observation 5e0066fa-9beb-469a-bd02-88c932d87c17 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 18

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Observation c4381657-8216-4b68-8dc6-561b1b6a4535 · outbound

This paper cites Improv- ing image generation with better captions,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Improv- ing image generation with better captions,

Reference 19

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Observation f8a50306-3222-4ab6-ab29-1643118c30c3 · outbound

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation High-resolution image synthesis with latent diffusion models,

Reference 20

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation SDXL: Improving latent diffusion models for high-resolution image synthesis,

Reference 21

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Observation 88fd3aaa-8eba-4db6-95b4-fc7db47470c1 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Scaling rectified flow transformers for high-resolution image synthesis,

Reference 22

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This paper cites PixArt-Σ: Weak-to-strong training of diffusion trans- former for 4k text-to-image generation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation PixArt-Σ: Weak-to-strong training of diffusion trans- former for 4k text-to-image generation,

Reference 23

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Diffusion-4k: Ultra-high-resolution image synthesis with latent diffusion mod- els,

Reference 26

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This paper cites (2024) Flux.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation (2024) Flux

Reference 27

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Observation 327f7907-15b0-4fb8-9b15-94b2bc5a20d4 · outbound

This paper cites Flow matching for generative modeling,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Flow matching for generative modeling,

Reference 28

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Observation bdfc2e5a-1d39-46f9-8570-7057d92dabaa · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 29

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Observation 7f20592d-0bea-4f31-8460-2530d60e37ba · outbound

This paper cites Building normalizing flows with stochastic interpolants,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Building normalizing flows with stochastic interpolants,

Reference 30

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers,

Reference 31

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Sana: Efficient high-resolution image synthesis with lin- ear diffusion transformers,

Reference 32

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation GPT-4o System Card

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This paper cites Gans trained by a two time-scale update rule converge 15 to a local nash equilibrium,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Gans trained by a two time-scale update rule converge 15 to a local nash equilibrium,

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This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Laion-5b: An open large-scale dataset for training next generation image-text models,

Reference 36

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This paper cites Clip- score: A reference-free evaluation metric for image captioning,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Clip- score: A reference-free evaluation metric for image captioning,

Reference 37

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Segment anything,

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This paper cites Taming transformers for high-resolution image synthesis,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Taming transformers for high-resolution image synthesis,

Reference 39

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Observation f8d51fca-9df8-4d46-b84d-fce2c40bc743 · outbound

This paper cites Auto-encoding variational bayes,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Auto-encoding variational bayes,

Reference 40

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Neural discrete representation learning,

Reference 41

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Observation 2b9022e7-addd-41df-97c2-e0d9f7f7ac3b · outbound

This paper cites PixArt-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation PixArt-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis,

Reference 42

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This paper cites Diffit: Diffusion vision transformers for image generation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Diffit: Diffusion vision transformers for image generation,

Reference 43

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Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Attention is all you need,

Reference 44

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Observation 77afb018-7c60-4abf-aa05-a0a0a26237af · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Roformer: Enhanced transformer with rotary position embedding,

Reference 45

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Learning transferable visual models from natural language supervision,

Reference 46

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.370990Z

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Observation c4b30376-c365-4bf4-be63-0bce8e942056 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Gemma 2: Improving Open Language Models at a Practical Size

Reference 48

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This paper cites Generative adver- sarial nets,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Generative adver- sarial nets,

Reference 49

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Observation 3f65d07c-672e-4eae-a6af-d965bf44a3a1 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Progressive growing of gans for improved quality, stability, and variation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.233854Z

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Observation bdbb8d21-927a-424d-bee2-11b9753c9fbc · outbound

This paper cites Large scale gan training for high fidelity natural image synthesis,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Large scale gan training for high fidelity natural image synthesis,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:54.127020Z

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Observation b58c257c-0f95-4a46-8f95-80b0e737aaf9 · outbound

This paper cites A style-based generator architec- ture for generative adversarial networks,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation A style-based generator architec- ture for generative adversarial networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.998622Z

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 abfbff86-1369-4093-8d93-ed640c64fd2d · outbound

This paper cites Analyzing and improving the image quality of stylegan,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Analyzing and improving the image quality of stylegan,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.875739Z

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

Observation 1982e905-b85a-470a-844a-0383a9defe0f · outbound

This paper cites Alias-free generative adversarial networks,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Alias-free generative adversarial networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.776270Z

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

Observation b8ef4985-16be-4050-8f12-466649ad6ec5 · outbound

This paper cites Any- resolution training for high-resolution image synthesis,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Any- resolution training for high-resolution image synthesis,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.682391Z

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

Observation 31a89c72-810a-47f4-b0f2-80c62a29679b · outbound

This paper cites Scaling up gans for text-to-image synthesis,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Scaling up gans for text-to-image synthesis,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.576063Z

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 6e7817a4-25a4-4cde-a800-f7861fe54acd · outbound

This paper cites Generating diverse high-fidelity images with vq-vae-2,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Generating diverse high-fidelity images with vq-vae-2,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.468258Z

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 7d80355b-5a0b-454c-929d-d93d58299f23 · outbound

This paper cites Zero-shot text-to-image generation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Zero-shot text-to-image generation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.365331Z

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 ae9dc62a-ffb3-4b68-aaaa-a9f414a5099a · outbound

This paper cites Muse: Text-to-image generation via masked generative trans- formers,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Muse: Text-to-image generation via masked generative trans- formers,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.245262Z

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 946160b9-7c15-4be7-a976-b945c6d7e07f · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Scaling autoregressive models for content-rich text-to-image generation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.151023Z

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 9942e099-47c8-4d83-a8a6-21c75ff80bef · outbound

This paper cites Visual au- toregressive modeling: Scalable image generation via next-scale prediction,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Visual au- toregressive modeling: Scalable image generation via next-scale prediction,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:53.055325Z

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 5457dfe6-1000-46bd-9137-485d7e0ed9c4 · outbound

This paper cites Autoregressive image generation without vector quantization,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Autoregressive image generation without vector quantization,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.953758Z

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 16e96873-fdb2-4463-83ac-310c1c5f498a · outbound

This paper cites Adversarial diffusion distillation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Adversarial diffusion distillation,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:46.448199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81a29d95-21b2-49c3-af90-b773f7329cb0 · outbound

This paper cites Fast high-resolution image synthesis with latent adversarial diffusion distillation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Fast high-resolution image synthesis with latent adversarial diffusion distillation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.850798Z

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 1af65e15-4806-4c4f-850e-90ce7c2070d9 · outbound

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Multidiffusion: Fusing diffusion paths for controlled image generation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.765336Z

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 476dd520-2d4a-4e0e-b82c-03dffa9d3ba1 · outbound

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Demo- fusion: Democratising high-resolution image generation with no $$$,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.647379Z

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 696c9081-024e-44e9-84b8-b71e4195630d · outbound

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Elasticdiffusion: Training-free arbitrary size image generation through global-local content separation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.541211Z

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 0749e789-b2b3-4afe-9602-595f7294eaf6 · outbound

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

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation W ¨urstchen: An efficient architecture for large-scale text-to-image diffusion models,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.436613Z

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 61e9254d-6c47-4931-8298-5f08711a7467 · outbound

This paper cites Deep compression autoencoder for efficient high- resolution diffusion models,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Deep compression autoencoder for efficient high- resolution diffusion models,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.356000Z

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 082417fd-2065-4fe9-8ec9-cfada5f523bd · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual met- ric,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation The unreasonable effectiveness of deep features as a perceptual met- ric,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.259465Z

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 20510c26-bd88-4dfa-9cd9-55b66d309e00 · outbound

This paper cites Image-to-image trans- lation with conditional adversarial networks,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Image-to-image trans- lation with conditional adversarial networks,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:52.159683Z

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 88db926b-d7e3-4262-b2e4-68746ba8fcc7 · outbound

This paper cites Wavelet score-based generative modeling,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Wavelet score-based generative modeling,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:51.964764Z

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 420e939f-ca82-4b9b-a19b-3e00236a4442 · outbound

This paper cites Wavelet diffusion models are fast and scalable image generators,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Wavelet diffusion models are fast and scalable image generators,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:51.847093Z

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 a650deaf-49f6-40ed-b9a5-a2d592386cce · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Imagereward: Learning and evaluating human preferences for text-to-image generation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:51.749376Z

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 2afae7c6-e305-4f30-86d1-cf7259521dbe · outbound

This paper cites Textons, the elements of texture perception, and their interactions,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Textons, the elements of texture perception, and their interactions,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:51.609917Z

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 b1d0f2b3-d8af-4785-b004-8c46afaa3e56 · outbound

This paper cites Stockwell,T exture-a cognitive aesthetics of reading.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Stockwell,T exture-a cognitive aesthetics of reading

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:51.425918Z

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 82f8329f-511e-4dd7-b071-9fe183e9dd2a · outbound

This paper cites Early vision and texture percep- tion,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Early vision and texture percep- tion,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:51.238182Z

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 266e67d0-ae0d-4116-be69-f62fa554f287 · outbound

This paper cites Image quality analysis using glcm,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Image quality analysis using glcm,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:51.100781Z

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 b6d692a6-ab76-4ac8-a62c-2bd7296f3923 · outbound

This paper cites Textural features for image classification,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Textural features for image classification,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:50.947654Z

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 a78ced6a-fe12-4ff8-9bf2-b95d3864bd6b · outbound

This paper cites Musiq: Multi- scale image quality transformer,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Musiq: Multi- scale image quality transformer,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:50.815741Z

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 73963c43-6520-47a5-b1b9-8fb979e244cb · outbound

This paper cites Maniqa: Multi-dimension attention network for no- reference image quality assessment,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Maniqa: Multi-dimension attention network for no- reference image quality assessment,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:50.662109Z

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 56f2824c-9911-4199-ba19-24459656e3ad · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Pick-a-pic: An open dataset of user preferences for text-to-image generation,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:50.567044Z

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 8f3fbb53-e0e1-4603-b0f9-e2749c29e28d · outbound

This paper cites Human preference score: Better aligning text-to-image models with human prefer- ence,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Human preference score: Better aligning text-to-image models with human prefer- ence,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:50.437437Z

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 e36924fa-203b-4802-87aa-a226b0808349 · outbound

This paper cites Rich human feedback for text-to-image generation,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Rich human feedback for text-to-image generation,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:50.254752Z

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 ecea5789-95db-46eb-abb2-8c29083ad30d · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Decoupled weight decay regulariza- tion,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:50.097009Z

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 4271b242-2079-472d-af4e-1777b697554e · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Zero: Memory optimizations toward training trillion parameter models,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:49.956893Z

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 3c5636ed-efa2-4677-9988-51a382d26f9c · outbound

This paper cites Zero-Offload: Democratizing billion- scale model training,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Zero-Offload: Democratizing billion- scale model training,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:49.832480Z

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 98af19f1-2b32-42b3-881e-f7f45af0ed9e · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation Image quality assessment: from error visibility to structural similarity,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:49.722702Z

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 ac53fca1-9ac0-4287-9d6e-99d956c2e54c · outbound

This paper cites (2024) Sora.

Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation (2024) Sora

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:49.600671Z

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.

Pith citing papers

Observation c0a322e9-a7c5-473d-ad31-807467abfdd1 · inbound

UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios cites this paper.

UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T20:52:40.076981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a613576c-4631-40ed-8346-ca6183e7b83b · inbound

What Makes Synthetic Data Effective in Image Segmentation cites this paper.

What Makes Synthetic Data Effective in Image Segmentation Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:13:06.693746Z

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 e5c69d98-5c16-4d4e-b9a9-8df1bf9cde04 · inbound

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset cites this paper.

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:23:03.869281Z

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