NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild | Paper Citation Record

Observation 2093e180-4f8a-4f3f-9fa1-5c57534f28ca · outbound

This paper cites Arniqa: Learning distortion mani- fold for image quality assessment.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Arniqa: Learning distortion mani- fold for image quality assessment

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.766048Z

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Observation 6b49de5e-57e7-4492-961c-e68741ffa4f7 · outbound

This paper cites NT-HAZE: A Benchmark Dataset for Re- alistic Night-time Image Dehazing.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NT-HAZE: A Benchmark Dataset for Re- alistic Night-time Image Dehazing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.736994Z

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Observation b0aae1ee-7205-469e-b736-91ef39ae9167 · outbound

This paper cites NTIRE 2026 Nighttime Image Dehazing Challenge Report.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Nighttime Image Dehazing Challenge Report

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.733266Z

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Observation 677fc059-cea8-4c99-8ef9-fd1913262744 · outbound

This paper cites The jpeg ai standard: Providing efficient human and machine vi- sual data consumption.IEEE MultiMedia, 30(1):100–111.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The jpeg ai standard: Providing efficient human and machine vi- sual data consumption.IEEE MultiMedia, 30(1):100–111

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.744404Z

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Observation 6b63523b-55a3-4fcf-8ac2-e45f7d6a3b21 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild BEiT: BERT Pre-Training of Image Transformers

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:50:11.580126Z

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Observation ed4f7263-5150-4669-92a2-4d43b2b984ca · outbound

This paper cites NTIRE 2026 Challenge on Single Image Re- flection Removal in the Wild: Datasets, Results, and Meth- ods.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Single Image Re- flection Removal in the Wild: Datasets, Results, and Meth- ods

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.702866Z

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Observation 4a7f31ea-72e1-47b3-85fa-097f0faa1844 · outbound

This paper cites HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:13:39.137651Z

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Observation eecdaa09-b2bd-422b-bed9-a9f646a59c49 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Emerg- ing properties in self-supervised vision transformers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.709820Z

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Observation 7327467c-e85f-4fcb-ad4a-db57e06c1013 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Conceptual 12m: Pushing web-scale image-text pre- training to recognize long-tail visual concepts

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.774912Z

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Observation 99caedf1-db50-4eb0-80ac-8cb1ad0cbd98 · outbound

This paper cites The Fourth Challenge on Image Super-Resolution (×4) at NTIRE 2026: Benchmark Results and Method Overview.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The Fourth Challenge on Image Super-Resolution (×4) at NTIRE 2026: Benchmark Results and Method Overview

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.830358Z

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Observation 5b42b93c-2e1b-4be3-a7d8-6a451dff62e2 · outbound

This paper cites Learned image compression with discretized gaussian mixture likelihoods and attention modules.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Learned image compression with discretized gaussian mixture likelihoods and attention modules

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.802806Z

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Observation 6094516e-97d5-46c4-8309-f93c612268dc · outbound

This paper cites Low Light Image Enhancement Challenge at NTIRE 2026.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Low Light Image Enhancement Challenge at NTIRE 2026

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.644473Z

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Observation 99981075-2674-45bd-8370-fc2d9a05662f · outbound

This paper cites High FPS Video Frame Interpolation Challenge at NTIRE 2026.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild High FPS Video Frame Interpolation Challenge at NTIRE 2026

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.628431Z

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Observation a18b1cda-6b9e-4b84-9b42-ad205aab5f33 · outbound

This paper cites On the detection of synthetic images generated by diffusion models.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild On the detection of synthetic images generated by diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.604897Z

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Observation 9e3ddd93-d57b-4c0c-90ab-2aa201320dff · outbound

This paper cites RedCaps: web-curated image-text data created by the people, for the people.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild RedCaps: web-curated image-text data created by the people, for the people

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:59.002288Z

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Observation 1aecc9d1-70ff-4c89-8bfe-18f6c539646f · outbound

This paper cites NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Chal- lenge Report.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Chal- lenge Report

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.634891Z

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Observation 7455ef5c-dfed-4ca2-bc08-ae520148e8dc · outbound

This paper cites Conde, Zongwei Wu, Yeying Jin, Radu Timofte, et al.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Conde, Zongwei Wu, Yeying Jin, Radu Timofte, et al

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.641003Z

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Observation bc3a54de-e77b-48d0-a091-41e59f9f703a · outbound

This paper cites Eva-02: A visual repre- sentation for neon genesis.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Eva-02: A visual repre- sentation for neon genesis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.677581Z

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Observation ff3e2743-928f-4db0-afb0-8c91e46a0052 · outbound

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

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Leveraging fre- quency analysis for deep fake image recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.663669Z

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Observation 678bc6e1-6e34-44ac-a778-fc2a1575abd1 · outbound

This paper cites Rich models for ste- ganalysis of digital images.IEEE Transactions on Informa- tion Forensics and Security, 7(3):868–882.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Rich models for ste- ganalysis of digital images.IEEE Transactions on Informa- tion Forensics and Security, 7(3):868–882

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.826461Z

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Observation a08e963c-ba7b-428b-87ca-f9c7cabfb471 · outbound

This paper cites Dat- acomp: In search of the next generation of multimodal datasets.Advances in Neural Information Processing Sys- tems, 36:27092–27112.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Dat- acomp: In search of the next generation of multimodal datasets.Advances in Neural Information Processing Sys- tems, 36:27092–27112

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.771420Z

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Observation a2b443d6-7926-43b1-9b7b-a87d94a67569 · outbound

This paper cites Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.579496Z

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Observation 279ad21c-c131-4640-9115-f28c06e2d38b · outbound

This paper cites an unresolved cited work.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-17T13:59:43.846891Z

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Observation 18b5f175-4c08-4d32-8270-208608e8c216 · outbound

This paper cites Are gan generated im- ages easy to detect? a critical analysis of the state-of-the-art.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Are gan generated im- ages easy to detect? a critical analysis of the state-of-the-art

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.608187Z

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Observation caacd94b-984d-43ae-99d5-2af11b6b016d · outbound

This paper cites NTIRE 2026 Challenge on End-to-End Financial Receipt Restoration and Reasoning from Degraded Images: Datasets, Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on End-to-End Financial Receipt Restoration and Reasoning from Degraded Images: Datasets, Methods and Results

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.592251Z

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Observation d0b8190c-bbbf-4c0a-9db5-ba921e7772a5 · outbound

This paper cites NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3).

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.631803Z

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Observation 9d74fba9-b69a-4e28-a959-9a7bec9b8b21 · outbound

This paper cites NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.788637Z

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Observation 5e047faa-c7a9-4a54-86aa-29e16a61af28 · outbound

This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Momentum contrast for unsupervised visual rep- resentation learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.791337Z

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Observation ea20a0e1-7bd7-4e27-8f5d-7bc199d5431d · outbound

This paper cites Denoising dif- fusion probabilistic models.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Denoising dif- fusion probabilistic models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.797208Z

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Observation ce6185ee-b004-4d31-9f0d-359bf5b4a0a4 · outbound

This paper cites Wildfake: A large- scale and hierarchical dataset for ai-generated images detec- tion.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Wildfake: A large- scale and hierarchical dataset for ai-generated images detec- tion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.794060Z

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Observation 41c6f58b-ee90-4617-8b5d-ee7f30d644f0 · outbound

This paper cites Robust Deepfake De- tection, NTIRE 2026 Challenge: Report.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Robust Deepfake De- tection, NTIRE 2026 Challenge: Report

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.799817Z

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Observation 92e80baf-3842-4c60-a614-3ca9b6c7896d · outbound

This paper cites Lora: Low-rank adaptation of large language mod- els.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Lora: Low-rank adaptation of large language mod- els

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.780079Z

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Observation 2cfa802f-b53b-4e58-b275-c476e5085c20 · outbound

This paper cites So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-08-03T03:15:17.929242Z

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Observation b8caf7d3-95ef-413f-bcbf-f48c4a8edef4 · outbound

This paper cites NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.782848Z

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Observation e92315c1-1d30-4900-8713-1380d90aa0b9 · outbound

This paper cites Supervised contrastive learning.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Supervised contrastive learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.777402Z

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Observation bd8a97fa-c0de-4f90-8e36-9587c027f3b3 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:20:58.931452Z

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Observation 5e4df21b-9b4e-4bfe-9dc4-91edde16ccd3 · outbound

This paper cites Bridging the gap between ideal and real-world evaluation: Benchmarking ai-generated image detection in challenging scenarios.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Bridging the gap between ideal and real-world evaluation: Benchmarking ai-generated image detection in challenging scenarios

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.822298Z

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Observation 4e387403-3b3d-485d-ab4e-0447a86a92f6 · outbound

This paper cites The First Challenge on Mobile Real-World Image Super- Resolution at NTIRE 2026: Benchmark Results and Method Overview.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The First Challenge on Mobile Real-World Image Super- Resolution at NTIRE 2026: Benchmark Results and Method Overview

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.754086Z

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Observation f7043694-23ad-4d46-84fd-a702a25a6047 · outbound

This paper cites Autoregressive image generation without vec- tor quantization.Advances in Neural Information Processing Systems, 37:56424–56445.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Autoregressive image generation without vec- tor quantization.Advances in Neural Information Processing Systems, 37:56424–56445

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.761047Z

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Observation 31527121-2601-49ca-93b7-b04b23ad8964 · outbound

This paper cites NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.740011Z

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Observation 4a83857d-4ca5-42bc-9538-3210c3555fc5 · outbound

This paper cites NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.747900Z

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Observation 7a0c07e9-54c9-40b8-8377-9c8278a8aa34 · outbound

This paper cites The First Chal- lenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The First Chal- lenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.757926Z

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Observation 2bec076d-7e19-4ad2-83ff-cb9d337d28f1 · outbound

This paper cites Conde, et al.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Conde, et al

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.564157Z

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Observation 002b675f-b8fb-434a-83e7-4e06dcb4a96e · outbound

This paper cites NTIRE 2026 X- AIGC Quality Assessment Challenge: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 X- AIGC Quality Assessment Challenge: Methods and Results

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.715914Z

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Observation 78f226b4-2010-4376-a48b-7655537a99d3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Swin transformer: Hierarchical vision transformer using shifted windows

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.582289Z

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Observation fe0f0220-bfd0-4b8a-b31a-906e6e2eb741 · outbound

This paper cites A convnet for the 2020s.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild A convnet for the 2020s

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.843618Z

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Observation ee323e32-7fab-42c4-a610-96ecb1874fec · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:20:58.960737Z

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Observation 408889b3-34b7-4f59-887a-eebd2a09db32 · outbound

This paper cites Decoupled Weight Decay Regularization.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Decoupled Weight Decay Regularization

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:20:58.917903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1fbbe77f-94d4-4994-b0e5-c56663130618 · outbound

This paper cites NTIRE 2026 Challenge on Video Saliency Predic- tion: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Video Saliency Predic- tion: Methods and Results

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.611632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3da8d17c-897d-4783-ab80-d5fbfc25609c · outbound

This paper cites If image generation model from deepfloyd lab.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild If image generation model from deepfloyd lab

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.836609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 10aec07c-6f5f-4b4d-b769-5e9c0f40b493 · outbound

This paper cites Grok imagine image generation model from xai.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Grok imagine image generation model from xai

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.680560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5b796fa7-b7c3-4e8a-ae50-e7093694b122 · outbound

This paper cites Nano banana image generation model from google.https://blog.google/products- and- platforms/products/gemini/updated-image- editing-model/.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Nano banana image generation model from google.https://blog.google/products- and- platforms/products/gemini/updated-image- editing-model/

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.638032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5b89a1a9-f26c-4789-8291-0513f3586647 · outbound

This paper cites Nano banana 2 image generation model from google.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Nano banana 2 image generation model from google

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.840464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 26730034-e86e-4420-a85f-aee6ddaac15c · outbound

This paper cites Seedream 5 lite image generation model from bytedance.https://seed.bytedance.com/en/ seedream5_0_lite.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Seedream 5 lite image generation model from bytedance.https://seed.bytedance.com/en/ seedream5_0_lite

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.618494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8c0cca25-262f-4fb8-a40d-bdf58d8f9b1a · outbound

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

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Towards uni- versal fake image detectors that generalize across genera- tive models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.614646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d2495bf6-9116-4690-a167-774ca076de92 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild DINOv2: Learning Robust Visual Features without Supervision

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:20:58.911518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ead356d4-f916-4df1-88ed-300d92ae38c5 · outbound

This paper cites NTIRE 2026 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.655948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7946b57f-bee2-4226-8827-d80f3f568d42 · outbound

This paper cites NTIRE 2026 Challenge on Learned Smartphone ISP with Unpaired Data: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Learned Smartphone ISP with Unpaired Data: Methods and Results

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.719228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5211ff63-40cf-4e89-805d-3b1ed53fdfdb · outbound

This paper cites NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1).

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.672873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cf3f64f7-336f-4c99-8f04-b0e77be79f73 · outbound

This paper cites The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.621775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b80d33e5-c271-4551-9e92-d02bd0bbf4cb · outbound

This paper cites NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track2).

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track2)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.668462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2ec02cc4-f88c-41f2-9d4d-2090f55002fb · outbound

This paper cites Learning transferable vi- sual models from natural language supervision.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Learning transferable vi- sual models from natural language supervision

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.598959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eefb8919-a905-4810-bdaf-fd3b57dd4917 · outbound

This paper cites The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.595096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6cfeec84-0e7a-4382-8097-362fc2c33717 · outbound

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

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild High-resolution image synthesis with latent diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.576738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a4377959-fd93-4e46-8212-952f446fccec · outbound

This paper cites Conde, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, et al.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Conde, Jeffrey Chen, Zhuyun Zhou, Zongwei Wu, Radu Timofte, et al

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.574085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 12873c18-7443-4e75-bd6f-1440aea6dd2e · outbound

This paper cites Transferable black-box one-shot forging of watermarks via image preference mod- els.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Transferable black-box one-shot forging of watermarks via image preference mod- els

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.561011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6c8b4fe6-929e-47a3-9eb8-c95b01238550 · outbound

This paper cites The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.568577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 130b0795-3c61-475b-b29c-ddf5090a2712 · outbound

This paper cites The Second Challenge on Event-Based Image Deblurring at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The Second Challenge on Event-Based Image Deblurring at NTIRE 2026: Methods and Results

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.602032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8db216e0-4cd7-4792-816b-9b49997ae051 · outbound

This paper cites NTIRE 2026 The First Challenge on Blind Computational Aberration Correction: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 The First Challenge on Blind Computational Aberration Correction: Methods and Results

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.585728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 824bfa98-3039-43a3-bdf5-cdc6419f28ce · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:54:22.133331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 25856062-9165-4267-a3ac-821646c588aa · outbound

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

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Rethinking the up-sampling op- erations in cnn-based generative network for generalizable deepfake detection

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.723055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e22f6f8f-3b38-4197-b6a7-f9b8ab6b3166 · outbound

This paper cites an unresolved cited work.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-05-17T13:59:43.727426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 59b6ce01-4f12-4163-bab5-6374e9435479 · outbound

This paper cites Learning- Based Ambient Lighting Normalization: NTIRE 2026 Chal- lenge Results and Findings.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Learning- Based Ambient Lighting Normalization: NTIRE 2026 Chal- lenge Results and Findings

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.750931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c3048617-2f23-4a43-b3c4-ceb7c37cd60d · outbound

This paper cites Advances in Single- Image Shadow Removal: Results from the NTIRE 2026 Challenge.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Advances in Single- Image Shadow Removal: Results from the NTIRE 2026 Challenge

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.706286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b728bc2a-257b-4809-932b-145768481c48 · outbound

This paper cites Ovis-image technical report.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Ovis-image technical report

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:58.990150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 96f35cb0-d308-4868-aa05-3445d5a76b5e · outbound

This paper cites The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.700096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f45ab7ac-cb9d-4308-bb16-3e493906fee4 · outbound

This paper cites NTIRE 2026 Challenge on 3D Content Super-Resolution: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on 3D Content Super-Resolution: Methods and Results

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.571555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 72ac5c15-924d-4031-899f-992a5bafc333 · outbound

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

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Cnn-generated images are surprisingly easy to spot

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.712772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation caacacf5-2ea9-43d2-a16f-de96a48c5be4 · outbound

This paper cites Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:58.997500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 53c57411-a360-48c6-898d-2c396f201fd1 · outbound

This paper cites NTIRE 2026 Challenge on Light Field Image Super-Resolution: Methods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Light Field Image Super-Resolution: Methods and Results

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.588897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b9161acd-c3d6-47d6-ab23-c3b0ac9198ce · outbound

This paper cites Dire for diffusion-generated image detection.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Dire for diffusion-generated image detection

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.688066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1afbebdd-1d7a-409b-b2cc-a2fd0d4b4f14 · outbound

This paper cites Robust fine-tuning of zero-shot models.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Robust fine-tuning of zero-shot models

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:20:58.974137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0fb0971e-8fd0-4486-9bd9-073f6f250583 · outbound

This paper cites Qwen-Image Technical Report.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Qwen-Image Technical Report

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:20:58.943946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 747de80c-a1d1-4bb5-9b57-bf45b9767311 · outbound

This paper cites Wibe: Watermarks for generated images- benchmarking & evaluation.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Wibe: Watermarks for generated images- benchmarking & evaluation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.625441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f8665fd9-aed5-43b1-914a-d7fcbaa870c4 · outbound

This paper cites Efficient Low Light Image Enhancement: NTIRE 2026 Challenge Report.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Efficient Low Light Image Enhancement: NTIRE 2026 Challenge Report

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.683851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9c42db4f-19fa-4256-b9c9-68b8e59680aa · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild A Sanity Check for AI-generated Image Detection

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:58.938037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7bb7f918-1324-4719-89b6-02425eb78748 · outbound

This paper cites Df40: Toward next- generation deepfake detection.Advances in Neural Informa- tion Processing Systems, 37:29387–29434.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Df40: Toward next- generation deepfake detection.Advances in Neural Informa- tion Processing Systems, 37:29387–29434

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.693556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4a868096-5bed-4ac7-a5ea-4c25b67a7ac8 · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models.Transactions on Machine Learning Research.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Coca: Contrastive captioners are image-text foundation models.Transactions on Machine Learning Research

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.690805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d8697ac4-b58d-4e39-917f-ebfb540e3dc8 · outbound

This paper cites NTIRE 2026 Challenge on High- Resolution Depth of non-Lambertian Surfaces.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on High- Resolution Depth of non-Lambertian Surfaces

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.785645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 924d26f5-e29d-46e3-9f62-9123c09d3a5c · outbound

This paper cites Sigmoid loss for language image pre-training.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Sigmoid loss for language image pre-training

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.696419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 01733e8a-6cec-4e59-b95e-a409829cfab3 · outbound

This paper cites NTIRE 2026 Challenge Report on Anomaly Detection of Face Enhancement for UGC Images.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge Report on Anomaly Detection of Face Enhancement for UGC Images

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.833431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation baa51d4d-dad8-4551-8bcd-24c7edf6ecdd · outbound

This paper cites Genimage: A million-scale benchmark for de- tecting ai-generated image.Advances in neural information processing systems, 36:77771–77782.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild Genimage: A million-scale benchmark for de- tecting ai-generated image.Advances in neural information processing systems, 36:77771–77782

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.648970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 82c493ca-0fe5-4ffb-86c3-2029412daeba · outbound

This paper cites NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Meth- ods and Results.

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Meth- ods and Results

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:59:43.660096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Reference resolution

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Pith citing papers