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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2506.21925.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.21925 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

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measured 80 of 80 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

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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Observation 18f1db29-9785-471d-8a0d-175c2743737e · outbound

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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Observation 0299e21d-8efa-47f3-ae9e-8060f6b4d399 · outbound

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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Observation b7ca5aa4-620d-4b55-af43-183e5cea8d9c · outbound

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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Observation 2ea0338d-6d5e-4769-894f-7d1f2e58a93a · outbound

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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Observation 1739e202-c583-4c9b-9334-48df2428a728 · outbound

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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Source-reported events for the cited work

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Observation 9871a7b0-8f97-456f-9bcc-97be835065b3 · outbound

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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Observation 140fbcc0-7718-4136-a1b5-e7e3bc1d1c42 · outbound

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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Observation 5cd5f489-bbe7-4bc7-8997-0da976537d26 · outbound

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

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ed593c32-1573-4e50-9a1e-773919a13786 · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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Observation cf026fc1-871a-4db6-926e-560c01011855 · outbound

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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Source-reported events for the cited work

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Observation a700a177-8d24-4661-b469-c74bf1da46a5 · outbound

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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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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Observation bbfb66f2-fe00-433e-b087-558242685d41 · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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Source-reported events for the cited work

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Observation 1d7710c9-9371-4fae-9a14-6f105921616a · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation eb723941-ca67-4100-ac26-3b7140fbdf5a · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 731eb68f-875e-4d6f-bb8a-675bf0289c09 · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:21:14.133754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:13.938944Z digest=sha256:fcc1c81ae6de138ed9a2be7b1b1c6746d74b3050a8fbeb0fb51ee83f76c8b4d9

Observation 298af49c-fd9e-47c6-87f1-2ac28af309dd · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:21:14.029300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:13.993007Z digest=sha256:6c21893ffe57081a63e760610f87e2385801e8cbec81f98a805243003fb4cb50

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:21:08.615147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.049743Z digest=sha256:fd16f6954b963f8eb70c99f223d41b3ed7e25d689d7ea0acabc47349f68663ae

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:21:13.912617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.079567Z digest=sha256:a40c859147face7021aac62eb18fa369db93f85ea99f5e563762e6fa196c685b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:21:13.783743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.144754Z digest=sha256:9071b8047cb7eb9adcadb507a4ea74383684b29e6525967dc0d43aa773ede26a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.236500Z digest=sha256:8de4908891990cc7cf90c6cc3abb39916549624626b360df04fbf2ed2ca67c6a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.307387Z digest=sha256:20ff942e8527872e884d7ec67a11aae0f13045d7aa367cd3ca9485d99b46fe00

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:20:14.427950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:14.427950Z digest=sha256:4cc4dea343940e6e691e3e2648021eecd47b3f19ffbf919819c79159afc1bf5f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:14.522241Z digest=sha256:bcfa610a83c62d47c73137f843741d3849c90b97ebe11d94985c3b296e93037e

Observation f24aea2e-d944-47de-9461-36c5cdaed324 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.588657Z digest=sha256:a43225c864108d4aed4a56b03d975679a791d08688b2ea20d33bbbb18d0294c3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.661333Z digest=sha256:63ae5fa4d44f6531cc9b0f7a10632c83fd17a1292e1d4e20de12cd3d42aa2d5a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.754270Z digest=sha256:54397e6440b9bb4e9aba882c812314e202b9ab501205ac36b425fbeb68e8393a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.834852Z digest=sha256:aeea77792aff2d7d402e0820e9532cec577758fbb249be2656997f34205f2306

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:14.945107Z digest=sha256:865528cb755b04657bfdb53684fa2c8def1b732399ceed95e262c8f463ff573f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.016080Z digest=sha256:8fb9875967692fd182014e7be7f1bb45cc668bb6aa52b4b38a0c805b262dd543

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.106064Z digest=sha256:66a97bfa656587300ca88fc01ee17231c3d544c33c44137c7c28f6ff6038a086

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.212481Z digest=sha256:880dc27a3ddc4366f7af7af2107c1bd9245f59c2e8b57eee7d8128281a519997

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.362422Z digest=sha256:e1aa0f7c4eab0b00e9f9ed4a6cc480409da175e4defdb32269badd46a6829a98

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.499841Z digest=sha256:73924e8adc190b921e3bac4fd7e0d5134f036766e3ce9d2840df1aa761aa7661

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.603420Z digest=sha256:334776a96bf548ef79ac35751634f77ac00911f6684e7f8c3fa28232ecbcb3c4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:15.704376Z digest=sha256:4c0ea949fe16077aebe58f8f34329936c0ba232454f0566bde65eb1969a27050

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.795338Z digest=sha256:e9d23503330f3f29c3222366da3ee4fbe57d8f0fe4daf63444c1eee3db4a6e3a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.875612Z digest=sha256:46cd3a71d6adeb0d1ab9cd5cf4eafb8e7727174b7a540574c610ed4150c358a9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.953831Z digest=sha256:ddb36775ee5e658eb5be03a57aeb37532b1325311517cc99ebab4980e3a2645e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:15.998379Z digest=sha256:edbe791dffe929a14845532560c069d5e9709fcec711931733ee00000627e169

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:16.054862Z digest=sha256:62de740ed13ce6916112711f9f9f01df8526d24203e4be941d96ff424b47abca

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:16.114168Z digest=sha256:83c6fa77d4ed96350bae09f764540a0ded1332fb94a240a5a5d0383aa876f566

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:20:16.189670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:16.189670Z digest=sha256:b90f75805ddf583220398e66ef10c1bbf62c1da531c3078374e227a8cd3a9f7a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:16.258406Z digest=sha256:834c549bbf41369dde6bf00c222d67039ddaa3166f625e5c5b12eb1c0502acb3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:16.342548Z digest=sha256:e2928520c7f64bf4a156b08aa6e908dd8d37c7245cafdc4fcbd0a5d4a0387b48

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:16.448182Z digest=sha256:f26c1bc62973a30709f1b8a13075e51d6e4e422dae08a1f780d363bbc63a811c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:20:16.520266Z digest=sha256:9e03c250fd7c48282b32a25160a8cd28d5f9e5209d3003dac77b676eb17139c6

Observation 5588dd62-a974-4078-95cd-90fd47ecfa08 · outbound

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:16.614082Z digest=sha256:fd7e18e047fb27e6b200ecf945c69cee1e8f410dbb3125f6b060d467b293ff49

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:16.666806Z digest=sha256:5aea42a7b4bc8b2110fc49cd3486e2b7f3933d5ca419f8ad12e30152d78e1ba6

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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:20:16.775633Z digest=sha256:873e29181c06d64295c072527bb13674089363dbe194e8400128533a496c17ec

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:21:07.809877Z digest=sha256:468d9e3c8262b91748d0ee58a00890fc1eb63a95244ef10d9a7dc3f0f4896e02

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:21:08.026659Z digest=sha256:107b640be03171c20ffa5f75494ca4e6732c0cca751f12eec07941ef9c722e6c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:21:08.114921Z digest=sha256:cdbdedcf961c7fb29d90a55f6789a20aee9fba55b414cf72cad192ee2123960e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:21:08.183571Z digest=sha256:8620d95a639ebc94ab91c83974ab6fdbdb95364eba97e9e984531c77b2d25c8e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:21:08.228435Z digest=sha256:6bdee8e5f043b80f16cbeeab150fdd585ef6fabb201a1d54a26310f596d01e38

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.