Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection | Paper Citation Record

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This paper cites https : / / www.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection https : / / www

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This paper cites https : / / xihe.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection https : / / xihe

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This paper cites Photo forensics from jpeg dimples.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Photo forensics from jpeg dimples

Reference 3

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This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Large Scale GAN Training for High Fidelity Natural Image Synthesis

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This paper cites Intriguing properties of syn- thetic images: from generative adversarial networks to diffu- sion models.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Intriguing properties of syn- thetic images: from generative adversarial networks to diffu- sion models

Reference 5

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This paper cites ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

Reference 6

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Observation b9d7f0c8-e954-4d52-9fdb-c73d033188f1 · outbound

This paper cites New find- ing and unified framework for fake image detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection New find- ing and unified framework for fake image detection

Reference 7

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This paper cites Diffusion models beat gans on image synthesis.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Diffusion models beat gans on image synthesis

Reference 8

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Observation b69b0dce-7de6-4da5-af36-afd553a97712 · outbound

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

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Leveraging fre- quency analysis for deep fake image recognition

Reference 9

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This paper cites Vec- tor quantized diffusion model for text-to-image synthesis.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Vec- tor quantized diffusion model for text-to-image synthesis

Reference 10

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This paper cites Deep residual learning for image recognition.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Deep residual learning for image recognition

Reference 11

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This paper cites Denoising dif- fusion probabilistic models.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Denoising dif- fusion probabilistic models

Reference 12

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This paper cites Bihpf: Bilateral high- pass filters for robust deepfake detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Bihpf: Bilateral high- pass filters for robust deepfake detection

Reference 13

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This paper cites Frepgan: robust deepfake detection using frequency- level perturbations.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Frepgan: robust deepfake detection using frequency- level perturbations

Reference 14

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This paper cites Glff: Global and local feature fusion for ai-synthesized im- age detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Glff: Global and local feature fusion for ai-synthesized im- age detection

Reference 15

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This paper cites Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation

Reference 16

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This paper cites Adam: A Method for Stochastic Optimization.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Adam: A Method for Stochastic Optimization

Reference 17

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This paper cites Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection

Reference 18

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This paper cites Iden- tification of deep network generated images using disparities in color components.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Iden- tification of deep network generated images using disparities in color components

Reference 19

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Observation aa93762a-d90d-4ca3-8784-a80c3cf0e562 · outbound

This paper cites Detecting generated images by real images.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Detecting generated images by real images

Reference 20

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This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Forgery-aware adaptive transformer for generalizable synthetic image detection

Reference 21

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This paper cites Global tex- ture enhancement for fake face detection in the wild.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Global tex- ture enhancement for fake face detection in the wild

Reference 22

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This paper cites Gener- alizing face forgery detection with high-frequency features.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Gener- alizing face forgery detection with high-frequency features

Reference 23

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Observation 8e040f57-95f3-40fb-998b-10d48fd1e04e · outbound

This paper cites Lareˆ 2: Latent reconstruction error based method for diffusion-generated image detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Lareˆ 2: Latent reconstruction error based method for diffusion-generated image detection

Reference 24

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Observation 289740fc-beab-4bc0-a77f-677c5b53d69d · outbound

This paper cites Exposing the Fake: Effective Diffusion-Generated Images Detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 25

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This paper cites Detecting GAN-generated Imagery using Color Cues.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Detecting GAN-generated Imagery using Color Cues

Reference 26

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This paper cites Detecting gan- generated imagery using saturation cues.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Detecting gan- generated imagery using saturation cues

Reference 27

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This paper cites Detecting GAN generated Fake Images using Co-occurrence Matrices.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Detecting GAN generated Fake Images using Co-occurrence Matrices

Reference 28

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This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 29

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This paper cites Towards uni- versal fake image detectors that generalize across genera- tive models.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Towards uni- versal fake image detectors that generalize across genera- tive models

Reference 30

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This paper cites Pytorch: An im- perative style, high-performance deep learning library.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Pytorch: An im- perative style, high-performance deep learning library

Reference 31

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This paper cites Thinking in frequency: Face forgery detection by min- ing frequency-aware clues.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Thinking in frequency: Face forgery detection by min- ing frequency-aware clues

Reference 32

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This paper cites Learning transferable visual models from natural language supervi- sion.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Learning transferable visual models from natural language supervi- sion

Reference 33

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

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 34

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

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection High-resolution image synthesis with latent diffusion models

Reference 35

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This paper cites Learning representations by back-propagating er- rors.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Learning representations by back-propagating er- rors

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Photorealistic text-to-image diffusion models with deep language understanding

Reference 37

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This paper cites Denoising Diffusion Implicit Models.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Denoising Diffusion Implicit Models

Reference 38

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This paper cites Learning on gradients: Generalized arti- facts representation for gan-generated images detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Learning on gradients: Generalized arti- facts representation for gan-generated images detection

Reference 39

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This paper cites Frequency-aware deepfake de- tection: Improving generalizability through frequency space domain learning.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Frequency-aware deepfake de- tection: Improving generalizability through frequency space domain learning

Reference 40

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This paper cites Rethinking the up-sampling op- erations in cnn-based generative network for generalizable deepfake detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Rethinking the up-sampling op- erations in cnn-based generative network for generalizable deepfake detection

Reference 41

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This paper cites Visualizing data using t-sne.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Visualizing data using t-sne

Reference 42

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This paper cites Attention is all you need.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Attention is all you need

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Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Cnn-generated images are surprisingly easy to spot

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This paper cites Dire for diffusion-generated image detection.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Dire for diffusion-generated image detection

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

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Detecting and simulating artifacts in gan fake images

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This paper cites Derivation of backpropagation in convo- lutional neural network (cnn).

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Derivation of backpropagation in convo- lutional neural network (cnn)

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This paper cites Learning deep features for discrimina- tive localization.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Learning deep features for discrimina- tive localization

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This paper cites Genimage: A million-scale benchmark for de- tecting ai-generated image.

Learning on Less: Constraining Pre-trained Model Learning for Generalizable Diffusion-Generated Image Detection Genimage: A million-scale benchmark for de- tecting ai-generated image

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