IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models | Paper Citation Record

Observation 3385d212-cddd-4d8b-befb-fe2aad9d5e86 · outbound

This paper cites Topiq: A top-down approach from semantics to distortions for im- age quality assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Topiq: A top-down approach from semantics to distortions for im- age quality assessment

Reference 1

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Observation 3f8df5c4-7e23-4afb-859d-f246305aa8ab · outbound

This paper cites Laion aesthetics predictor, 2023.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Laion aesthetics predictor, 2023

Reference 2

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Observation 029ecb80-8cac-4912-b49c-64ed891a8dad · outbound

This paper cites Improving image generation with bet- ter captions.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Improving image generation with bet- ter captions

Reference 3

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Observation 32bfec2e-66f9-4e97-a42b-24e3b2c993d4 · outbound

This paper cites Flux github repo.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Flux github repo

Reference 4

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Observation 766392e1-1d10-44e2-ba8b-faa41b2f0672 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 5

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Observation b4176e60-929a-426f-96aa-d4f96da84be0 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Adding conditional control to text-to-image diffusion models

Reference 6

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Observation f6b908c7-dee5-49b6-8986-a5879ae851c3 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 7

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Observation cf032c18-ae18-45be-9022-7d319f4bf3ed · outbound

This paper cites OmniGen: Unified Image Generation.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models OmniGen: Unified Image Generation

Reference 8

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Observation 71216fee-f4f1-4baa-984b-9029c6d19349 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 9

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Observation bd7c5258-6755-4080-910d-88560eea6812 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 10

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Observation eddd04c2-cdc6-40ba-860d-f661a3034a70 · outbound

This paper cites Better aligning text-to-image models with human preference, 2023.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Better aligning text-to-image models with human preference, 2023

Reference 11

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Observation 172f3e0a-14ec-46ec-a7a8-2c98b05b891f · outbound

This paper cites Dp-iqa: Utilizing diffusion prior for blind image quality assessment in the wild.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Dp-iqa: Utilizing diffusion prior for blind image quality assessment in the wild

Reference 12

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Observation 77c3c98d-d60c-4e89-935a-aa02a410834f · outbound

This paper cites Genziqa: Generalized image quality assessment us- ing prompt-guided latent diffusion models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Genziqa: Generalized image quality assessment us- ing prompt-guided latent diffusion models

Reference 13

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Observation 065f3fd0-d0a1-47b3-a5c9-3c18f7dd305a · outbound

This paper cites Feature Denoising Diffusion Model for Blind Image Quality Assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Feature Denoising Diffusion Model for Blind Image Quality Assessment

Reference 14

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Observation 37f333f8-4ba6-492f-80ac-4d408d99b13a · outbound

This paper cites Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment

Reference 15

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Observation 4431a50f-c77c-42a9-839e-dacff25358d8 · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Zero-shot text-to-image generation

Reference 16

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Observation 34882cd0-f584-40b4-962b-248a3de6201c · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models High-resolution image synthesis with latent diffusion models

Reference 17

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Observation 3fa43a52-4d1f-430b-bdaf-bc2f36e73e10 · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Photorealistic text-to-image diffusion models with deep language understanding

Reference 18

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Observation 355e14f9-495f-4100-942e-305553f47ac2 · outbound

This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

Reference 19

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Observation 4b6521bf-3e77-4f08-a802-499e689ec341 · outbound

This paper cites YaART: Yet Another ART Rendering Technology.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models YaART: Yet Another ART Rendering Technology

Reference 20

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Observation 53f2951e-b07a-476b-80bc-f339265cd95b · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 21

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Observation 8cde6460-27d0-4c91-b2c1-48fbe80ece6e · outbound

This paper cites Im- agen 3.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Im- agen 3

Reference 22

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Observation ae0c0b8f-72d5-429e-9fd8-1c1d89c91bb4 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 23

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Observation d23fa85e-b1ca-4dab-b34e-e1bebc340705 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 24

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Observation 88f3d37f-0059-49b8-9385-352a57cb9910 · outbound

This paper cites 9 LoRA: Low-rank adaptation of large language models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models 9 LoRA: Low-rank adaptation of large language models

Reference 25

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Observation f1517306-c92f-4439-b547-53cb7844f1af · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 26

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Observation b8f8fea7-34a5-41ff-bd7d-66bd619c7853 · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 27

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Observation 809e12e8-bdaf-414c-8619-1b3907e3c046 · outbound

This paper cites T2i-adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models T2i-adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models

Reference 28

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Observation df9ca3ab-23e7-4e4c-9857-c2b940191e06 · outbound

This paper cites Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Reference 29

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Observation 0b788025-8de1-4e3a-9d71-7f91791339cc · outbound

This paper cites StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter

Reference 30

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Observation ebfa9ab6-d5a4-4900-8cea-ac53f3e205d9 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Movie Gen: A Cast of Media Foundation Models

Reference 31

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Observation 1011a250-ecd2-4603-a629-9eb1ac3efee5 · outbound

This paper cites Diffusion for World Modeling: Visual Details Matter in Atari.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Diffusion for World Modeling: Visual Details Matter in Atari

Reference 32

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Observation a4edb254-8158-4de5-8cba-0ddd553b5e3c · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Image quality assessment: from error visibility to structural similarity

Reference 33

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Observation 3a0ab79b-d3e9-4e46-9049-2692dcdf34ca · outbound

This paper cites Multi- scale structural similarity for image quality assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Multi- scale structural similarity for image quality assessment

Reference 34

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Observation b2ecaaf1-c3b9-4038-9d30-08fe5b26bf58 · outbound

This paper cites A visual information fi- delity approach to video quality assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models A visual information fi- delity approach to video quality assessment

Reference 35

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Observation c38a3257-67b8-4b32-8479-fd3f846a9cfd · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models No-reference image quality assessment in the spatial domain

Reference 36

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Observation 671c8fea-f309-48f1-bb13-dca5d2a98feb · outbound

This paper cites completely blind.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models completely blind

Reference 37

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Observation ef7c48d2-92d4-4479-8450-7f0307a5a5ec · outbound

This paper cites Blind image quality assessment: From natural scene statistics to perceptual quality.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blind image quality assessment: From natural scene statistics to perceptual quality

Reference 38

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Observation 792bdc67-94d3-457f-afd7-6104a7e5a922 · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models A feature- enriched completely blind image quality evaluator

Reference 39

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Observation a6f243e4-665a-4869-b599-3729d2ad7bee · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 40

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Observation b6af6af3-084e-4ec0-a52c-ebaca9085c7f · outbound

This paper cites Musiq: Multi-scale image quality transformer.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Musiq: Multi-scale image quality transformer

Reference 41

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Observation a2fa0813-8a7a-44f1-9217-0ffbff9cf417 · outbound

This paper cites Blind im- age quality assessment using a deep bilinear convolutional neural network.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blind im- age quality assessment using a deep bilinear convolutional neural network

Reference 42

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Observation 7f196fd0-d881-4294-8ccf-56fb2f3b3b9e · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Arniqa: Learning distortion mani- fold for image quality assessment

Reference 43

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Observation 4352e893-5f19-4439-8e5d-9908a068ab86 · outbound

This paper cites Blind image quality assessment via vision- language correspondence: A multitask learning perspec- tive.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blind image quality assessment via vision- language correspondence: A multitask learning perspec- tive

Reference 44

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Observation 56e1f768-afdf-455e-a1de-8060f56e9c5e · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models No-reference image quality assessment via transformers, relative ranking, and self-consistency

Reference 45

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Observation 0f35ac23-9ee3-425f-ab09-49276267917d · outbound

This paper cites Maniqa: Multi-dimension attention network for no- reference image quality assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Maniqa: Multi-dimension attention network for no- reference image quality assessment

Reference 46

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Observation 96897857-c402-4590-bfb2-112a5821d688 · outbound

This paper cites Con- volutional neural networks for no-reference image quality assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Con- volutional neural networks for no-reference image quality assessment

Reference 47

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Observation 081716fd-8031-487c-92f9-99b214ddc358 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Ex- ploring clip for assessing the look and feel of images

Reference 48

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Observation 24aa67e4-1231-4df0-9580-716906fcc3fc · outbound

This paper cites Nima: Neural im- age assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Nima: Neural im- age assessment

Reference 49

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Observation 0fea79bf-c9e8-4725-95fb-642fda173ffe · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment

Reference 50

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Observation ea8ac893-3f5b-4bdf-9d52-56cbaf437f98 · outbound

This paper cites Pipal: a large-scale image quality assessment dataset for perceptual image restoration.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Pipal: a large-scale image quality assessment dataset for perceptual image restoration

Reference 51

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Observation cd05bcde-7318-477b-ba03-61ffbdd65877 · outbound

This paper cites Perceptual quality assessment of smartphone pho- tography.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Perceptual quality assessment of smartphone pho- tography

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.550957Z

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Observation d7b1c328-f579-4c8c-a776-ede926e9c542 · outbound

This paper cites Massive on- line crowdsourced study of subjective and objective pic- ture quality.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Massive on- line crowdsourced study of subjective and objective pic- ture quality

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.527495Z

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Observation 5e8868ae-1bec-4ff5-90f6-37ce2c494143 · outbound

This paper cites From patches to pictures (paq-2-piq): Mapping the perceptual space of pic- ture quality.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models From patches to pictures (paq-2-piq): Mapping the perceptual space of pic- ture quality

Reference 54

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Observation 469b12bf-b0aa-4338-965c-922d6e16dd6a · outbound

This paper cites Ava: A large-scale database for aesthetic visual analysis.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Ava: A large-scale database for aesthetic visual analysis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.491268Z

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Observation 89492ab2-a592-4eaf-83df-efab900b3045 · outbound

This paper cites Kadid-10k: A large-scale artificially distorted iqa database.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Kadid-10k: A large-scale artificially distorted iqa database

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.471304Z

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Observation ba46a84a-7b69-48e4-abf5-fae38f0d0ece · outbound

This paper cites Photo aesthetics ranking network with attributes and content adaptation.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Photo aesthetics ranking network with attributes and content adaptation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.452820Z

Source-reported events for the cited work

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

Observation 02ea0e2d-6d66-40a7-9ae3-5cc015e763f1 · outbound

This paper cites Diffusion model alignment using direct preference optimization.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Diffusion model alignment using direct preference optimization

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.433482Z

Source-reported events for the cited work

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

Observation 8810dd9b-7957-421e-98d5-27eb374a14ab · outbound

This paper cites Q-refine: A perceptual qual- ity refiner for ai-generated image.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Q-refine: A perceptual qual- ity refiner for ai-generated image

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.417288Z

Source-reported events for the cited work

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

Observation d4b3447a-5eef-4c79-b2f4-6e40c2757956 · outbound

This paper cites VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.523097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72aea639-3f60-479d-941b-310075c82c1e · outbound

This paper cites BeautifulPrompt: Towards au- tomatic prompt engineering for text-to-image synthesis.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models BeautifulPrompt: Towards au- tomatic prompt engineering for text-to-image synthesis

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.399146Z

Source-reported events for the cited work

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

Observation d6792ff1-2dbe-4694-bbc5-5122d44ac421 · outbound

This paper cites Compel library.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Compel library

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.380233Z

Source-reported events for the cited work

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

Observation efdc40e9-0bf2-47c3-8aca-15bca4bffa97 · outbound

This paper cites Diffusion models beat gans on image synthesis.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Diffusion models beat gans on image synthesis

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.362948Z

Source-reported events for the cited work

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

Observation 3f3a5f42-369b-4d21-87c8-db31eb1196a3 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.546886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 247aa7d6-6f02-4c5d-ae1a-8faaeaec1cf4 · outbound

This paper cites Layer Normalization.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Layer Normalization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.551597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83eb252c-322c-424d-b75b-c4660cc3c0ab · outbound

This paper cites Denoising Diffusion Probabilistic Models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Denoising Diffusion Probabilistic Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.557881Z

Source-reported events for the cited work

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Observation adb036a2-92b4-47f0-a9c1-69906d4f6a40 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.562938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b006a201-61f0-4029-92ab-ba12758d36da · outbound

This paper cites Laion-5b 170k subset of images with aes- thetics score > 6.5.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Laion-5b 170k subset of images with aes- thetics score > 6.5

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.332356Z

Source-reported events for the cited work

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

Observation a72580f4-0345-4f57-b393-bba3da92f4a8 · outbound

This paper cites Laion-5b: an open large-scale dataset for training next generation image-text models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Laion-5b: an open large-scale dataset for training next generation image-text models

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.314392Z

Source-reported events for the cited work

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

Observation 269127c3-9b00-466e-a3eb-78eb9e6461ed · outbound

This paper cites Blind image quality assessment using a deep bilin- ear convolutional neural network.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blind image quality assessment using a deep bilin- ear convolutional neural network

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.295718Z

Source-reported events for the cited work

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

Observation 4e5d408a-9885-4c3a-a3d3-9eddd1d383cb · outbound

This paper cites Convo- lutional neural networks for no-reference image quality as- sessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Convo- lutional neural networks for no-reference image quality as- sessment

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.278245Z

Source-reported events for the cited work

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

Observation b99157af-abe2-4f52-a55d-8fc3f6a1cce0 · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.255770Z

Source-reported events for the cited work

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

Observation 296ad07d-57b8-4d2f-9e83-9dadcf32247b · outbound

This paper cites Musiq: Multi-scale image quality transformer.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Musiq: Multi-scale image quality transformer

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.237808Z

Source-reported events for the cited work

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

Observation 96ea0d79-f926-467a-92a5-debbac83fe4d · outbound

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

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models No-reference image quality assessment via transformers, relative ranking, and self-consistency

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.219792Z

Source-reported events for the cited work

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

Observation 0fdafcfc-6c3b-43a4-8f7f-c8500d066de8 · outbound

This paper cites Blind image quality assessment via vision- language correspondence: A multitask learning perspec- tive.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blind image quality assessment via vision- language correspondence: A multitask learning perspec- tive

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.202410Z

Source-reported events for the cited work

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

Observation e165633a-2d00-4ee1-8cd9-275326ab81bb · outbound

This paper cites Dataset of user-generated prompts col- lected from lexica.art website.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Dataset of user-generated prompts col- lected from lexica.art website

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.185874Z

Source-reported events for the cited work

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

Observation 30270fd9-efc5-427b-bf5c-910e394a9d99 · outbound

This paper cites Scaling autoregressive mod- els for content-rich text-to-image generation.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Scaling autoregressive mod- els for content-rich text-to-image generation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.169424Z

Source-reported events for the cited work

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

Observation f19fd80d-5fd6-49ac-9133-5a85be9c5863 · outbound

This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Geneval: An object-focused framework for evaluating text- to-image alignment

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.152425Z

Source-reported events for the cited work

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

Observation c3492654-e093-4c64-994e-7580c9b59628 · outbound

This paper cites Microsoft coco: Common objects in context.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Microsoft coco: Common objects in context

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.136222Z

Source-reported events for the cited work

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

Observation d5bc326c-a219-4a3d-bec8-4d142f6d11d5 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equi- librium.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Gans trained by a two time-scale update rule converge to a local nash equi- librium

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.120343Z

Source-reported events for the cited work

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

Observation 52ce2531-8002-4c66-b903-77b489623b72 · outbound

This paper cites Improved techniques for training gans.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Improved techniques for training gans

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.104815Z

Source-reported events for the cited work

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

Observation 2eeea419-77be-4fef-9e8a-7dfd62d09f57 · outbound

This paper cites Clipscore: A reference-free eval- uation metric for image captioning.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Clipscore: A reference-free eval- uation metric for image captioning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.088816Z

Source-reported events for the cited work

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

Observation e7cb3948-dba0-4c96-80ab-47f1e0f12edd · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differ- ential equations.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models SDEdit: Guided image synthesis and editing with stochastic differ- ential equations

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.070427Z

Source-reported events for the cited work

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

Observation 6ef19dad-6379-444f-b6fd-423b78267988 · outbound

This paper cites Blip-2: bootstrapping language-image pre-training with frozen image encoders and large language models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Blip-2: bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.053895Z

Source-reported events for the cited work

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

Observation be962a7f-072b-42cf-9d83-73b9645f7013 · outbound

This paper cites Pytorch library for cam methods.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Pytorch library for cam methods

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.036111Z

Source-reported events for the cited work

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

Observation 28547487-831b-42a2-9e77-9a3b08f506b5 · outbound

This paper cites IQA-PyTorch: Pytorch toolbox for image quality assessment.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models IQA-PyTorch: Pytorch toolbox for image quality assessment

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.018743Z

Source-reported events for the cited work

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

Observation 86904a7a-8877-4a55-ab1b-f9ac7894e262 · outbound

This paper cites calflops: a flops and params calculate tool for neural networks in pytorch framework, 2023.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models calflops: a flops and params calculate tool for neural networks in pytorch framework, 2023

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:05.001341Z

Source-reported events for the cited work

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

Observation bc45dd77-3b0e-4773-bafa-386877a51a63 · outbound

This paper cites A statistical evaluation of recent full reference image quality assessment algorithms.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models A statistical evaluation of recent full reference image quality assessment algorithms

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.983978Z

Source-reported events for the cited work

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

Observation 4f6741a0-7e55-4c36-aa45-7f5935ca69ad · outbound

This paper cites Most appar- ent distortion: full-reference image quality assessment and the role of strategy.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Most appar- ent distortion: full-reference image quality assessment and the role of strategy

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.967475Z

Source-reported events for the cited work

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

Observation 48b9dbc6-2dd2-41b0-819f-d8b550b90ae8 · outbound

This paper cites No-reference blur assessment of digital pictures based on multifeature classi- fiers.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models No-reference blur assessment of digital pictures based on multifeature classi- fiers

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.950891Z

Source-reported events for the cited work

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

Observation 88ed5b1b-48e5-4bf2-9dbb-a7157252f947 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.690032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09fcc8aa-94d0-447f-b9cb-cfc30d5c24a4 · outbound

This paper cites Decoupled Weight Decay Regularization.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Decoupled Weight Decay Regularization

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.696486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757c403f-eed3-4692-8fe9-80634e189497 · outbound

This paper cites Accelerate: Training and inference at scale made simple, efficient and adaptable.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Accelerate: Training and inference at scale made simple, efficient and adaptable

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.933327Z

Source-reported events for the cited work

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

Observation 693a5f1a-63f2-4035-9669-fa9b876fcc00 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Srinivasan, Matthew Tancik, Jonathan T

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.916757Z

Source-reported events for the cited work

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

Observation 92727b8e-8f91-4907-8d5c-d44bf8e95f1a · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Roformer: Enhanced transformer with rotary position embedding

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.898772Z

Source-reported events for the cited work

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

Observation c413b718-460c-41bd-8a02-6f6f08230289 · outbound

This paper cites A Study on the Evaluation of Generative Models.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models A Study on the Evaluation of Generative Models

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-08-12T01:00:03.900561Z

Source-reported events for the cited work

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

Observation 8ddca422-186b-4ac2-b259-e776d4ff1385 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models The unreasonable effectiveness of deep features as a perceptual metric

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.879654Z

Source-reported events for the cited work

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

Observation f7992b87-5d84-4eba-9a48-3979dff7d93c · outbound

This paper cites Image Quality Assessment: Unifying Structure and Texture Similarity.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Image Quality Assessment: Unifying Structure and Texture Similarity

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:03.732620Z

Source-reported events for the cited work

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Observation 326064d7-466f-4ef4-98b7-f979d11612f7 · outbound

This paper cites Pieapp: Perceptual image-error assessment through pairwise preference.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Pieapp: Perceptual image-error assessment through pairwise preference

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.863491Z

Source-reported events for the cited work

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

Observation c1e3db9c-a192-44c8-bc54-eb3ae4146c37 · outbound

This paper cites Msu video super-resolution quality metrics benchmark 2023.

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models Msu video super-resolution quality metrics benchmark 2023

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T01:00:04.844295Z

Source-reported events for the cited work

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

Coverage vector

Reference resolution

Outbound references

Pith citing papers