Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images | Paper Citation Record

Observation 41724e7f-8d69-48c9-b153-acf498382f65 · outbound

This paper cites Generative adversarial nets,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Generative adversarial nets,

Reference 1

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This paper cites Auto-Encoding Variational Bayes.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Auto-Encoding Variational Bayes

Reference 2

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

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images High- resolution image synthesis with latent diffusion models,

Reference 3

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Observation 811254a8-3a4b-46ee-8f16-a1895799a5a4 · outbound

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

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Learning transferable visual models from natural language supervi- sion,

Reference 4

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This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 5

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This paper cites MVDiffusion: Enabling holistic multi-view image generation with correspondence- aware diffusion,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images MVDiffusion: Enabling holistic multi-view image generation with correspondence- aware diffusion,

Reference 6

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This paper cites Text2light: Zero-shot text-driven hdr panorama generation,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Text2light: Zero-shot text-driven hdr panorama generation,

Reference 7

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This paper cites DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting

Reference 8

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This paper cites 4K4DGen: Panoramic 4D Generation at 4K Resolution.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images 4K4DGen: Panoramic 4D Generation at 4K Resolution

Reference 9

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This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:17.292457Z

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Observation 1f944fe1-08eb-496b-a9c2-aa213d7f9ed9 · outbound

This paper cites Improved techniques for training gans,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Improved techniques for training gans,

Reference 11

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Observation ff702d6d-2c10-438e-9276-43936340cdd2 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 12

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Observation 1e7d1bd9-35d8-4814-b79d-e8df86bf312d · outbound

This paper cites Aigciqa2023: A large-scale image quality assessment database for ai generated images: from the perspectives of quality, authenticity and correspondence,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Aigciqa2023: A large-scale image quality assessment database for ai generated images: from the perspectives of quality, authenticity and correspondence,

Reference 13

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Observation 2a0ad9cb-35ff-4775-b52b-45582f5b38e1 · outbound

This paper cites Agiqa-3k: An open database for ai-generated image quality assessment,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Agiqa-3k: An open database for ai-generated image quality assessment,

Reference 14

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This paper cites Sgdnet: An end-to-end saliency-guided deep neural network for no-reference image quality assessment,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Sgdnet: An end-to-end saliency-guided deep neural network for no-reference image quality assessment,

Reference 15

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Observation 69ea30b2-7b3d-4df1-bce4-05794d281f41 · outbound

This paper cites Realistic saliency guided image enhancement,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Realistic saliency guided image enhancement,

Reference 16

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Observation dc8dfb79-4aa3-4da9-ae70-e9574f12226b · outbound

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

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Rich human feedback for text-to-image generation,

Reference 17

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Observation fe2a7ad6-82e0-444c-8e0c-c164cd5c1160 · outbound

This paper cites Mc360iqa: A multi-channel cnn for blind 360-degree image quality assessment,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Mc360iqa: A multi-channel cnn for blind 360-degree image quality assessment,

Reference 18

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This paper cites Perceptual quality assessment of omnidirectional images,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Perceptual quality assessment of omnidirectional images,

Reference 19

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This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment,

Reference 20

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Observation c6c0e33e-2929-4167-930e-9f5a46a094e7 · outbound

This paper cites Perceptual quality as- sessment of smartphone photography,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Perceptual quality as- sessment of smartphone photography,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:15.759052Z

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This paper cites Perceptual Quality Assessment of Omnidirectional Audio- Visual Signals,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Perceptual Quality Assessment of Omnidirectional Audio- Visual Signals,

Reference 22

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Observation 347fd472-19df-414e-bf5c-c8f8b89dd4f1 · outbound

This paper cites Confusing image quality assessment: Toward better augmented reality experience,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Confusing image quality assessment: Toward better augmented reality experience,

Reference 23

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Observation 6fdf826a-7b76-42f5-b08b-8894b6229c5d · outbound

This paper cites ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images

Reference 24

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Observation 49ffbcf3-9504-45d3-bba6-c230d2fb273b · outbound

This paper cites Quality Assessment for AI Generated Images with Instruction Tuning.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Quality Assessment for AI Generated Images with Instruction Tuning

Reference 25

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Observation 2c8dba25-3516-4c7b-9837-bcc952cc9b68 · outbound

This paper cites Salicon: Saliency in context,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Salicon: Saliency in context,

Reference 26

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Observation d3369cca-51a3-4602-935b-e4bb039b0b8c · outbound

This paper cites CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research

Reference 28

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This paper cites Saliency based on information maximization,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Saliency based on information maximization,

Reference 29

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Observation 878fb682-4634-4dd3-9290-d6897d7a3cfb · outbound

This paper cites Predicting human gaze using low-level saliency combined with face detection,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Predicting human gaze using low-level saliency combined with face detection,

Reference 30

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This paper cites Visual saliency estimation by nonlinearly integrating features using region covariances,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Visual saliency estimation by nonlinearly integrating features using region covariances,

Reference 31

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This paper cites Saliency in augmented reality,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Saliency in augmented reality,

Reference 32

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Observation 5695e36a-f080-49b7-8b8c-3408db5a468a · outbound

This paper cites Salicon: Reducing the semantic gap in saliency prediction by adapting deep neural networks,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Salicon: Reducing the semantic gap in saliency prediction by adapting deep neural networks,

Reference 33

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Observation 99982fd3-a5f9-4a41-ae07-1e91ebfbbbfd · outbound

This paper cites Predicting human eye fixations via an lstm-based saliency attentive model,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Predicting human eye fixations via an lstm-based saliency attentive model,

Reference 34

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Observation 92e45de5-8747-4622-bef8-4397fd94cab4 · outbound

This paper cites Visual attention analysis and prediction on human faces for children with autism spectrum disorder,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Visual attention analysis and prediction on human faces for children with autism spectrum disorder,

Reference 35

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This paper cites A dataset of eye movements for the children with autism spectrum disorder,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images A dataset of eye movements for the children with autism spectrum disorder,

Reference 36

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Observation faf96921-311d-4aa7-a2a6-43ffe1d3aec3 · outbound

This paper cites Perceptual Video Quality Assessment: A Survey.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Perceptual Video Quality Assessment: A Survey

Reference 37

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Observation 36c91440-fb96-4476-b6fc-bae166de4d48 · outbound

This paper cites Blind image quality assessment: A fuzzy neural network for opinion score distribution prediction,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Blind image quality assessment: A fuzzy neural network for opinion score distribution prediction,

Reference 38

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Observation 03b4d84e-a57c-4e63-8cf6-aa573c3c4f58 · outbound

This paper cites Identifying children with autism spectrum disorder based on gaze-following,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Identifying children with autism spectrum disorder based on gaze-following,

Reference 39

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Observation f3d7d44c-3b36-42a7-93c1-5635bec0ab73 · outbound

This paper cites Matterport3d: Learning from rgb- d data in indoor environments,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Matterport3d: Learning from rgb- d data in indoor environments,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:13.667785Z

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Observation 22c7bd84-153a-4dce-b0f6-16d1f43e4c7d · outbound

This paper cites Recognizing scene viewpoint using panoramic place representation,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Recognizing scene viewpoint using panoramic place representation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:13.567012Z

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Observation 19f3b7ef-e0d1-4e6b-8381-3dbecf1e336f · outbound

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

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 42

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Observation d867da9f-e5e6-4a65-b79c-ab2d2cfb5cc9 · outbound

This paper cites SceneScape: Text-Driven Consistent Scene Generation.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images SceneScape: Text-Driven Consistent Scene Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:20:14.522241Z

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

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images High- resolution image synthesis with latent diffusion models,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:13.445658Z

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Observation fe364f3f-5eae-4300-896c-9c3209c70ed7 · outbound

This paper cites Audio-visual Saliency for Omnidirectional Videos.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Audio-visual Saliency for Omnidirectional Videos

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:21:08.405178Z

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Observation 7011bae5-7936-45c9-9f3f-dafa5d8539f5 · outbound

This paper cites Attentive deep image quality assessment for omnidirectional stitching,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Attentive deep image quality assessment for omnidirectional stitching,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:13.290325Z

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Observation dff0d7f1-af25-4340-a194-0e71d9adca3e · outbound

This paper cites Augmented reality image quality assessment based on visual confusion theory,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Augmented reality image quality assessment based on visual confusion theory,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:13.130045Z

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Observation 1ae268f1-e4fa-4f59-835a-0f79dcd61017 · outbound

This paper cites Viewing behavior supported visual saliency predictor for 360 degree videos,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Viewing behavior supported visual saliency predictor for 360 degree videos,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:12.872650Z

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Observation 6887c6b3-56bb-4ce4-bae1-0829eab68d7b · outbound

This paper cites Ivqad 2017: An immersive video quality assessment database,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Ivqad 2017: An immersive video quality assessment database,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:12.780189Z

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Observation 254a772d-4656-4edd-ba36-ce6c0e40c668 · outbound

This paper cites Methodology for the subjective assessment of the quality of television pictures,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Methodology for the subjective assessment of the quality of television pictures,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:12.586400Z

Source-reported events for the cited work

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Observation 07a5f239-1f7a-48af-9359-b44258630d1b · outbound

This paper cites How is gaze influenced by image transformations? dataset and model,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images How is gaze influenced by image transformations? dataset and model,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:12.361272Z

Source-reported events for the cited work

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Observation 629f932e-8593-4ca9-b060-c4dd10f8784f · outbound

This paper cites Perceptual quality assessment of omnidirectional images as moving camera videos,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Perceptual quality assessment of omnidirectional images as moving camera videos,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:12.132935Z

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Observation 3e8dc69c-3f77-449b-8f00-ac9bb0df0768 · outbound

This paper cites Learning without human scores for blind image quality assessment,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Learning without human scores for blind image quality assessment,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.943426Z

Source-reported events for the cited work

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

Observation 38379481-2483-4e47-8c00-b06f81cb8a95 · outbound

This paper cites Blind image quality esti- mation via distortion aggravation,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Blind image quality esti- mation via distortion aggravation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.741547Z

Source-reported events for the cited work

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

Observation 33d310e0-c924-4189-9265-ac95a45a1f73 · outbound

This paper cites Making a “completely blind.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Making a “completely blind

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T22:20:15.704376Z

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Observation 22d96f35-45f4-4f30-b00e-c4f901ad6716 · outbound

This paper cites A feature-enriched completely blind image quality evaluator,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images A feature-enriched completely blind image quality evaluator,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.617689Z

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

Observation 3799d258-a256-4194-90d5-93242583e6c2 · outbound

This paper cites Blind image quality assessment based on high order statistics aggregation,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Blind image quality assessment based on high order statistics aggregation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.484926Z

Source-reported events for the cited work

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

Observation b7040921-c294-4aa2-95cf-b68bb4e82612 · outbound

This paper cites Blind quality assessment based on pseudo-reference image,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Blind quality assessment based on pseudo-reference image,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.383291Z

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

Observation 1289de6b-caf4-495d-853e-395061e281b9 · outbound

This paper cites Fisblim: A five-step blind metric for quality assessment of multiply distorted images,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Fisblim: A five-step blind metric for quality assessment of multiply distorted images,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.290016Z

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Observation 4674c948-0bdc-4830-9407-34292f4d9ccb · outbound

This paper cites No-reference image quality assessment in the spatial domain,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images No-reference image quality assessment in the spatial domain,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.201374Z

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Observation f1cba77e-0410-43c1-8fe6-38003deacfbc · outbound

This paper cites Convolutional neural networks for no-reference image quality assessment,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Convolutional neural networks for no-reference image quality assessment,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:11.096850Z

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Observation a406e5f7-6bb9-4e8c-9d65-24ebe8d7a5cf · outbound

This paper cites Deep residual learning for image recognition,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Deep residual learning for image recognition,

Reference 62

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Observation 5087ee2a-bce1-4829-8389-1bdf5e77066c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T22:20:16.258406Z

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Observation b0595358-d951-4883-867c-b145cf1eee1d · outbound

This paper cites Blindly assess image quality in the wild guided by a self-adaptive hyper network,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Blindly assess image quality in the wild guided by a self-adaptive hyper network,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.981977Z

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Observation 3c957b1a-7363-470c-8463-88f4d8c9bd6a · outbound

This paper cites MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T22:20:16.448182Z

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Observation 3b5ec36d-df2f-4fac-b786-d81807dc3260 · outbound

This paper cites No-reference im- age quality assessment via transformers, relative ranking, and self- consistency,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images No-reference im- age quality assessment via transformers, relative ranking, and self- consistency,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T22:20:16.520266Z

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This paper cites Eva: Exploring the limits of masked visual representation learning at scale,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Eva: Exploring the limits of masked visual representation learning at scale,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.855183Z

Source-reported events for the cited work

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Observation 8bdcc2db-afbf-4628-9abb-810709de7c5d · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.755303Z

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Observation 00a5387f-fca8-4103-8118-b528843d9088 · outbound

This paper cites On the accuracy of objective image and video quality models: New methodology for performance evaluation,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images On the accuracy of objective image and video quality models: New methodology for performance evaluation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.631864Z

Source-reported events for the cited work

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Observation 87a6d084-5226-4816-97c4-143233e05c3c · outbound

This paper cites Quality assessment of sharpened images: Challenges, methodology, and objective metrics,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Quality assessment of sharpened images: Challenges, methodology, and objective metrics,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.539034Z

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Observation 9db500ce-1df3-4982-8204-cf0c68c65ff8 · outbound

This paper cites Transalnet: Towards perceptually relevant visual saliency prediction,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Transalnet: Towards perceptually relevant visual saliency prediction,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.394594Z

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Observation da54b5a5-5381-48c1-a7c1-6f921364ab35 · outbound

This paper cites Context-aware saliency detection,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Context-aware saliency detection,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.274566Z

Source-reported events for the cited work

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Observation 0b622d59-4a8d-4c58-94d1-43f6a8aacdab · outbound

This paper cites Graph-based visual saliency,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Graph-based visual saliency,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.187719Z

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Observation 1940789e-2659-4ece-9c5f-5e7fa5bf5f4c · outbound

This paper cites Visual saliency based on scale-space analysis in the frequency domain,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Visual saliency based on scale-space analysis in the frequency domain,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:10.066740Z

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Observation bebce8b2-5d3b-4721-acaf-e65387e5a335 · outbound

This paper cites A model of saliency-based visual atten- tion for rapid scene analysis,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images A model of saliency-based visual atten- tion for rapid scene analysis,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.907961Z

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

Observation 8a67a67d-439a-4f82-a43f-a640a0bda6c6 · outbound

This paper cites Learning to predict where humans look,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Learning to predict where humans look,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:15.109370Z

Source-reported events for the cited work

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

Observation f03ae8d5-3b42-4110-b28a-f3d2cf73bcc2 · outbound

This paper cites Saliency esti- mation using a non-parametric low-level vision model,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Saliency esti- mation using a non-parametric low-level vision model,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.761006Z

Source-reported events for the cited work

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

Observation a37956e8-fbfe-4587-b983-76ad9feb467e · outbound

This paper cites Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.659863Z

Source-reported events for the cited work

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

Observation 165dd0d1-3756-41fd-93f4-08abf2c95941 · outbound

This paper cites Saliency detection: A spectral residual approach,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Saliency detection: A spectral residual approach,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.515548Z

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

Observation b852b560-af7a-40aa-b85f-cf4dcf2740ec · outbound

This paper cites Sun: A bayesian framework for saliency using natural statistics,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Sun: A bayesian framework for saliency using natural statistics,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.376933Z

Source-reported events for the cited work

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

Observation 5c5d50e4-6723-41fb-a290-e97ec374408a · outbound

This paper cites Visual saliency detection by spatially weighted dissimilarity,.

Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images Visual saliency detection by spatially weighted dissimilarity,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:21:09.215882Z

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