Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images | Paper Citation Record

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This paper cites Variational autoencoder based anomaly detection using reconstruction probability.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Variational autoencoder based anomaly detection using reconstruction probability

Reference 1

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This paper cites Mathematical problems in image processing: partial differential equations and the calculus of variations, volume 147.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Mathematical problems in image processing: partial differential equations and the calculus of variations, volume 147

Reference 2

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This paper cites Synthbuster: Towards detection of diffusion model generated images.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Synthbuster: Towards detection of diffusion model generated images

Reference 3

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Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Unresolved cited work

Reference 4

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This paper cites Cifake: Image classification and explainable identification of ai-generated synthetic images.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Cifake: Image classification and explainable identification of ai-generated synthetic images

Reference 5

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This paper cites Generative ai and disinformation: Recent advances, challenges, and opportunities.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Generative ai and disinformation: Recent advances, challenges, and opportunities

Reference 6

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 7

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This paper cites Nonlinear spectral processing of shapes via zero-homogeneous flows.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Nonlinear spectral processing of shapes via zero-homogeneous flows

Reference 8

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This paper cites Spectral total-variation processing of shapes—theory and applications.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Spectral total-variation processing of shapes—theory and applications

Reference 9

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This paper cites Learning to see in the dark.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Learning to see in the dark

Reference 10

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This paper cites A Single Simple Patch is All You Need for AI-generated Image Detection.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images A Single Simple Patch is All You Need for AI-generated Image Detection

Reference 11

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This paper cites Photographic image synthesis with cascaded refinement networks.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Photographic image synthesis with cascaded refinement networks

Reference 12

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This paper cites Stargan: Unified generative adversarial networks for multi-domain image-to-image translation.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Stargan: Unified generative adversarial networks for multi-domain image-to-image translation

Reference 13

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This paper cites Are CLIP features all you need for Universal Synthetic Image Origin Attribution?.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Are CLIP features all you need for Universal Synthetic Image Origin Attribution?

Reference 14

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This paper cites Raising the bar of ai-generated image detection with clip.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Raising the bar of ai-generated image detection with clip

Reference 15

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Observation 06c25875-e9f0-4300-86d9-fa4c7469cd15 · outbound

This paper cites Zero-shot detection of ai-generated images.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Zero-shot detection of ai-generated images

Reference 16

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This paper cites Second-order attention network for single image super-resolution.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Second-order attention network for single image super-resolution

Reference 17

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This paper cites Diffusion models beat gans on image synthesis.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Diffusion models beat gans on image synthesis

Reference 18

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This paper cites Epstein, Ishan Jain, Oliver Wang, and Richard Zhang.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Epstein, Ishan Jain, Oliver Wang, and Richard Zhang

Reference 19

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This paper cites Concentration property on probability spaces.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Concentration property on probability spaces

Reference 20

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Vector quantized diffusion model for text-to-image synthesis

Reference 21

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This paper cites RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection

Reference 22

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This paper cites On stochastic differential equations, volume 4.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images On stochastic differential equations, volume 4

Reference 23

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This paper cites Stochastic solutions for linear inverse problems using the prior implicit in a denoiser.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Stochastic solutions for linear inverse problems using the prior implicit in a denoiser

Reference 24

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This paper cites Generalization in diffusion models arises from geometry-adaptive harmonic representations.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Generalization in diffusion models arises from geometry-adaptive harmonic representations

Reference 25

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This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 26

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This paper cites A style-based generator architecture for generative adversarial networks.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images A style-based generator architecture for generative adversarial networks

Reference 27

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This paper cites From high energy physics to low level vision.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images From high energy physics to low level vision

Reference 28

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This paper cites Similarity of neural network representations revisited.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Similarity of neural network representations revisited

Reference 29

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This paper cites Adaptive estimation of a quadratic functional by model selection.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Adaptive estimation of a quadratic functional by model selection

Reference 30

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This paper cites Diverse image synthesis from semantic layouts via conditional imle.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Diverse image synthesis from semantic layouts via conditional imle

Reference 31

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This paper cites Improved Baselines with Visual Instruction Tuning.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Improved Baselines with Visual Instruction Tuning

Reference 32

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This paper cites Detection of ai-created images using pixel-wise feature extraction and convolutional neural networks.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Detection of ai-created images using pixel-wise feature extraction and convolutional neural networks

Reference 33

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This paper cites Midjourney: An independent research lab exploring new mediums of thought.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Midjourney: An independent research lab exploring new mediums of thought

Reference 34

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This paper cites Wukong: A pre-trained model for chinese text-to-image generation.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Wukong: A pre-trained model for chinese text-to-image generation

Reference 35

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Observation f50bdca3-676f-4998-8fdd-fde1e27997d4 · outbound

This paper cites Detectgpt: Zero-shot machine-generated text detection using probability curvature.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Detectgpt: Zero-shot machine-generated text detection using probability curvature

Reference 36

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This paper cites An empirical bayes estimator of the mean of a normal population.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images An empirical bayes estimator of the mean of a normal population

Reference 37

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This paper cites Do Deep Generative Models Know What They Don't Know?.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Do Deep Generative Models Know What They Don't Know?

Reference 38

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 39

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This paper cites Towards universal fake image detectors that generalize across generative models.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Towards universal fake image detectors that generalize across generative models

Reference 40

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Observation 04a99fb6-81c3-4318-9c58-66e815f2a864 · outbound

This paper cites Semantic image synthesis with spatially-adaptive normalization.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Semantic image synthesis with spatially-adaptive normalization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.710385Z

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Observation b09f2fc2-0f70-4716-b283-85a608109752 · outbound

This paper cites Pedregosa, G.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Pedregosa, G

Reference 42

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Observation 72b0d9a8-b21c-4322-8b58-9a05f37443d3 · outbound

This paper cites Unsupervised generative fake image detector.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Unsupervised generative fake image detector

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.686386Z

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Observation 70e4704d-b912-4f7b-83bc-71e8500d3558 · outbound

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Learning transferable visual models from natural language supervision

Reference 44

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Zero-shot text-to-image generation

Reference 45

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This paper cites Aeroblade: Training-free detection of latent diffusion images using autoencoder reconstruction error.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Aeroblade: Training-free detection of latent diffusion images using autoencoder reconstruction error

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.652462Z

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Observation b74aac73-ef75-482b-bedc-f6c028d97c0b · outbound

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images High-resolution image synthesis with latent diffusion models

Reference 47

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This paper cites Faceforensics++: Learning to detect manipulated facial images.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Faceforensics++: Learning to detect manipulated facial images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.627681Z

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Observation 43e2ab0b-11c6-447e-a516-40479c53c8d0 · outbound

This paper cites De-fake: Detection and attribution of fake images generated by text-to-image generation models.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images De-fake: Detection and attribution of fake images generated by text-to-image generation models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.613529Z

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Observation 39e3b14d-0794-4308-867c-ba7ac51d749c · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Generative modeling by estimating gradients of the data distribution

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:25.191975Z

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Observation 2cdfa35a-93b0-487f-b4c7-2aece5bb4b73 · outbound

This paper cites Improved techniques for training score-based generative models.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Improved techniques for training score-based generative models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:25.196348Z

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Observation 42a63f48-7a2a-4807-8458-dc8436e9e865 · outbound

This paper cites Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection

Reference 52

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Observation 74448d66-506a-4d68-9e58-d41f13ea2f27 · outbound

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Cnn-generated images are surprisingly easy to spot

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.578277Z

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Observation cea4f78e-912c-4476-8fbf-6099eb4aa147 · outbound

This paper cites Dire for diffusion-generated image detection.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Dire for diffusion-generated image detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.561181Z

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Observation 9e364f0b-4ef7-4e23-a304-56ae0c0fcd47 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 55

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Unavailable: canonical work link unavailable.

Observation 8075a13b-074b-4fde-aa21-fce57c01d0be · outbound

This paper cites Exposing unseen gan-generated image using unsupervised domain adaptation.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Exposing unseen gan-generated image using unsupervised domain adaptation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.546110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c270c53-7432-4f07-b554-1c338aa96d52 · outbound

This paper cites Improving gan-generated image detection generalization using unsupervised domain adaptation.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Improving gan-generated image detection generalization using unsupervised domain adaptation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.530902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef49b5de-98e9-4f0a-96c4-7ff744ea6799 · outbound

This paper cites PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:25.230332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20eff54d-a949-43d1-a826-ed7b743509c0 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.516188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f52f6cb-9324-4b4e-8363-642fe487ba93 · outbound

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

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Genimage: A million-scale benchmark for detecting ai-generated image

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:32:25.500713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 116a1bda-2b80-43fa-b82a-15d0a5d15651 · outbound

This paper cites write newline.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images write newline

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:25.242396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c07129f-ac62-4ed2-925e-38f1850b200f · outbound

This paper cites @esa (Ref.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images @esa (Ref

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:25.247390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d21edf4-5867-4c2b-a113-49054ffb9f0b · outbound

This paper cites an unresolved cited work.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:25.252239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f076532-0361-4b75-a70b-807552d1b560 · outbound

This paper cites an unresolved cited work.

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:25.256840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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