X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models | Paper Citation Record

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This paper cites Peeking inside the black-box: a survey on explainable artificial intelligence (xai).IEEE access, 6:52138–52160, 2018.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Peeking inside the black-box: a survey on explainable artificial intelligence (xai).IEEE access, 6:52138–52160, 2018

Reference 1

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This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.Information fusion, 58:82–115, 2020.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.Information fusion, 58:82–115, 2020

Reference 2

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This paper cites Hybrid lstm and encoder–decoder architecture for detection of image forg- eries.IEEE transactions on image processing, 28(7):3286– 3300, 2019.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Hybrid lstm and encoder–decoder architecture for detection of image forg- eries.IEEE transactions on image processing, 28(7):3286– 3300, 2019

Reference 3

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This paper cites A deep learning approach to universal image manipulation detection using a new convolutional layer.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models A deep learning approach to universal image manipulation detection using a new convolutional layer

Reference 4

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Unresolved cited work

Reference 5

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This paper cites Language models are few-shot learners.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Language models are few-shot learners

Reference 6

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

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 7

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This paper cites Fakeinversion: Learning to detect images from un- seen text-to-image models by inverting stable diffusion.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Fakeinversion: Learning to detect images from un- seen text-to-image models by inverting stable diffusion

Reference 8

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This paper cites Optimizing relevance maps of vision transformers improves robustness.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Optimizing relevance maps of vision transformers improves robustness

Reference 9

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This paper cites X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models

Reference 10

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This paper cites On the detection of synthetic images generated by diffusion mod- els.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models On the detection of synthetic images generated by diffusion mod- els

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This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 12

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Exposing digital forgeries in scientific images.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Exposing digital forgeries in scientific images

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This paper cites Leveraging fre- quency analysis for deep fake image recognition.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Leveraging fre- quency analysis for deep fake image recognition

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This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Guiding Instruction-based Image Editing via Multimodal Large Language Models

Reference 16

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This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 17

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

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Proxedit: Improving tuning-free real image editing with proximal guidance

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This paper cites Dice: Discrete inversion enabling controllable editing for multinomial diffusion and masked generative models.arXiv preprint arXiv:2410.08207, 2024.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Dice: Discrete inversion enabling controllable editing for multinomial diffusion and masked generative models.arXiv preprint arXiv:2410.08207, 2024

Reference 19

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This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Prompt-to-Prompt Image Editing with Cross Attention Control

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

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

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This paper cites Diffusion Model-Based Image Editing: A Survey.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Diffusion Model-Based Image Editing: A Survey

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This paper cites An edit friendly ddpm noise space: Inversion and manipulations.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models An edit friendly ddpm noise space: Inversion and manipulations

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

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Image-to-image translation with conditional adver- sarial networks

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This paper cites Segment any- thing.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Segment any- thing

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This paper cites VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models The Tug-of-War Between Deepfake Generation and Detection

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Towards understanding cross and self-attention in stable diffusion for text-guided image editing

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Detecting images generated by deep diffusion models using their local intrinsic dimensionality

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models SGDR: Stochastic Gradient Descent with Warm Restarts

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Decoupled Weight Decay Regularization

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Detection of gan-generated fake im- ages over social networks

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Do gans leave artificial fingerprints? In 2019 IEEE conference on multimedia information process- ing and retrieval (MIPR), pages 506–511

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Null-text inversion for editing real im- ages using guided diffusion models

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Towards uni- versal fake image detectors that generalize across genera- tive models

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Image-to-image translation: Methods and applications

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Ex- plaining generative diffusion models via visual analysis for interpretable decision-making process.Expert Systems with Applications, 248:123231, 2024

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Learning transferable visual models from natural language supervi- sion

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Towards the Detection of Diffusion Model Deepfakes

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models High-resolution image synthesis with latent diffusion models

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models U- net: Convolutional networks for biomedical image segmen- tation

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Palette: Image-to-image diffusion models

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural In- formation Processing Systems, 35:25278–25294, 2022

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Grad-cam: Visual explanations from deep networks via gradient-based localization

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models De-fake: Detection and attribution of fake images generated by text- to-image generation models

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Denoising Diffusion Implicit Models

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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Axiomatic attribution for deep networks

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

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Plug-and-play diffusion features for text-driven image-to-image translation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.627573Z

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Observation 5f5d268c-8eca-47b3-99f1-1d5855793209 · outbound

This paper cites FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:32.933516Z

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Observation b2935a26-a4e4-4fce-b687-3898a4c65705 · outbound

This paper cites Cnn-generated images are surprisingly easy to spot.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Cnn-generated images are surprisingly easy to spot

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.615507Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 643722b5-f6db-47d4-9d10-a241bca8a292 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:32.941564Z

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Unavailable: canonical work link unavailable.

Observation 1444666d-46ed-407c-aece-840f77668465 · outbound

This paper cites Dire for diffusion-generated image detection.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Dire for diffusion-generated image detection

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:32.945678Z

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Observation 0d7e735c-1918-4604-bc0c-f56b1fa434e1 · outbound

This paper cites Cbam: Convolutional block attention module.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Cbam: Convolutional block attention module

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.586677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f747bb7c-59cf-40c6-a2c9-fbd25f9ff3c7 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.Advances in neural information processing systems, 34: 12077–12090, 2021.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Segformer: Simple and efficient design for semantic segmentation with transform- ers.Advances in neural information processing systems, 34: 12077–12090, 2021

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.574255Z

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Observation 248a7807-f293-4084-aa55-a8fb44bfe9a4 · outbound

This paper cites Exposing fake images generated by text-to-image diffusion models.Pattern Recognition Letters, 176:76–82, 2023.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Exposing fake images generated by text-to-image diffusion models.Pattern Recognition Letters, 176:76–82, 2023

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.559956Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1196dea5-f887-4e16-ba02-d8ee5bd704a4 · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models.arXiv preprint arXiv:2408.08872, 2024.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models xgen-mm (blip-3): A family of open large multimodal models.arXiv preprint arXiv:2408.08872, 2024

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:32.961361Z

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Unavailable: canonical work link unavailable.

Observation 8037feb9-c037-466c-8266-7c973a84fd6a · outbound

This paper cites Attributing fake images to gans: Learning and analyzing gan fingerprints.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Attributing fake images to gans: Learning and analyzing gan fingerprints

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.544450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90085ac6-40d4-4087-90aa-6c158fb6c777 · outbound

This paper cites Detecting and simulating artifacts in gan fake images.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Detecting and simulating artifacts in gan fake images

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.530539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4739e71-b1ae-4e26-9b5d-1a0f55fc8acf · outbound

This paper cites Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:52:32.973543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d10aa4e-29cb-4aea-b887-344b0b9ce634 · outbound

This paper cites an unresolved cited work.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:52:33.517131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9831f3a-da35-4927-b5ca-beaf241d4673 · outbound

This paper cites Figure 7.Comparison of model distributions for original im- ages.The histograms display the density distributions of predicted mask values for SAM and Finetuned X-Editϕmodels.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models Figure 7.Comparison of model distributions for original im- ages.The histograms display the density distributions of predicted mask values for SAM and Finetuned X-Editϕmodels

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:33.503010Z

Source-reported events for the cited work

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Observation cac5e494-9648-43cf-8a7a-22cf88c24633 · outbound

This paper cites add fire.

X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models add fire

Reference 66

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:52:33.487604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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