Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing | Paper Citation Record

Observation 6c8fb7bf-34fc-4437-a878-a96c28a450e5 · outbound

This paper cites GPT-4 Technical Report.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing GPT-4 Technical Report

Reference 1

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Observation c3a64bb3-0877-44e8-945f-cae76ebb2a30 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Graph of thoughts: Solving elaborate problems with large language models

Reference 2

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Observation cdb7f991-9ad1-4b04-9674-4781d491c34d · outbound

This paper cites Unpro- cessing images for learned raw denoising.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Unpro- cessing images for learned raw denoising

Reference 3

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Observation fdb011d4-5744-411c-adfd-bfa206e5413d · outbound

This paper cites Language models are few-shot learners.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Language models are few-shot learners

Reference 4

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Observation 5eb308de-43eb-406f-9b32-6a64ffbd6b9d · outbound

This paper cites Reconfiguring the imaging pipeline for computer vision.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Reconfiguring the imaging pipeline for computer vision

Reference 5

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Observation a1403839-7d84-44fe-acc2-f87036743eb8 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A Survey on Mixture of Experts in Large Language Models

Reference 6

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Observation 96910b1e-17aa-46ce-b04b-11a4b114e3e2 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing AutoAgents: A Framework for Automatic Agent Generation

Reference 7

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Observation 91b01044-debb-4a4e-9574-353427ef8674 · outbound

This paper cites Masked image training for generalizable deep image denoising.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Masked image training for generalizable deep image denoising

Reference 8

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Observation 9ea61492-3b32-40be-b649-b2167e955dc0 · outbound

This paper cites Restoreagent: Autonomous image restoration agent via multimodal large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Restoreagent: Autonomous image restoration agent via multimodal large language models

Reference 9

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Observation 1de6586f-b56c-4d70-8a98-cc4b7ccf57cf · outbound

This paper cites Low-res leads the way: Improving generalization for super-resolution by self-supervised learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Low-res leads the way: Improving generalization for super-resolution by self-supervised learning

Reference 10

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Observation ed269901-4c30-43bc-b72d-4ccb71874b8f · outbound

This paper cites Learning A Low-Level Vision Generalist via Visual Task Prompt.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Learning A Low-Level Vision Generalist via Visual Task Prompt

Reference 11

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Observation 8c323c66-a832-4c99-8e22-cb9bd77bf085 · outbound

This paper cites Mod-squad: Designing mixtures of experts as modular multi-task learners.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Mod-squad: Designing mixtures of experts as modular multi-task learners

Reference 12

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Observation fde59c15-0bed-4c98-8c13-068bf80e74dc · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 13

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Observation 9805a674-d78f-407c-b1c3-2635a22e64f9 · outbound

This paper cites Image super-resolution using deep convolutional networks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Image super-resolution using deep convolutional networks

Reference 14

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Observation 0b0c0e42-317e-4dcc-bbb5-511a74c92d6b · outbound

This paper cites The Llama 3 Herd of Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing The Llama 3 Herd of Models

Reference 15

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Observation 9af1befe-fe49-493e-9172-22bf348fa58c · outbound

This paper cites Agent AI: Surveying the Horizons of Multimodal Interaction.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Agent AI: Surveying the Horizons of Multimodal Interaction

Reference 16

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Observation 1950d87d-f4c3-41d1-9a12-a27907f3d47c · outbound

This paper cites Is it an agent, or just a program?: A taxonomy for autonomous agents.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Is it an agent, or just a program?: A taxonomy for autonomous agents

Reference 17

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Observation 08b4714b-c33c-4d4d-8baa-c3e6dc65801d · outbound

This paper cites Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric

Reference 18

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Observation f749c74c-e7a2-4425-98f4-f3e8c877844f · outbound

This paper cites Interpreting super-resolution networks with local attribution maps.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Interpreting super-resolution networks with local attribution maps

Reference 19

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Observation 4a96b5a9-20c5-4588-ad03-240a2b2574c4 · outbound

This paper cites Networks are slacking off: Under- standing generalization problem in image deraining.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Networks are slacking off: Under- standing generalization problem in image deraining

Reference 20

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Observation 8d539151-3030-4628-84d8-348fb758cd40 · outbound

This paper cites Saycanpay: Heuristic planning with large language models using learnable domain knowledge.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Saycanpay: Heuristic planning with large language models using learnable domain knowledge

Reference 21

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Observation a0f03850-dec5-4548-8bb6-35051d54f227 · outbound

This paper cites Interpreting Low-level Vision Models with Causal Effect Maps.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Interpreting Low-level Vision Models with Causal Effect Maps

Reference 22

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Observation 72af3e9d-de24-4042-8dff-4072ed8dd85b · outbound

This paper cites Exposure: A white-box photo post-processing framework.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Exposure: A white-box photo post-processing framework

Reference 23

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Observation d51f4a9b-5109-41b3-ad29-3718cee15c2f · outbound

This paper cites Learning agile and dynamic motor skills for legged robots.Science Robotics, 4(26):eaau5872, 2019.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Learning agile and dynamic motor skills for legged robots.Science Robotics, 4(26):eaau5872, 2019

Reference 24

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Observation 0d8774a0-8a53-42bc-87ba-36388b23e259 · outbound

This paper cites Mistral 7B.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Mistral 7B

Reference 25

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Observation 20f2ebbc-fdbb-463e-bc38-47ba171b9cfe · outbound

This paper cites Mixtral of Experts.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Mixtral of Experts

Reference 26

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Observation e20bb3ad-cebd-4d29-8186-8b340c2f2fb6 · outbound

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

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Pipal: a large-scale image quality assessment dataset for perceptual image restoration

Reference 27

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Observation e5a0727c-eb95-48ee-9f69-3a36a6687d3d · outbound

This paper cites Thinking, fast and slow.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Thinking, fast and slow

Reference 28

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Observation bf8a3b3a-daf3-432c-aa50-b02a4b1dca1f · outbound

This paper cites Level-5 autonomous driving—are we there yet? a review of research literature.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Level-5 autonomous driving—are we there yet? a review of research literature

Reference 29

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Observation 84838e54-89a7-4bc8-b0a6-4fa2e7b2f560 · outbound

This paper cites Large language models are zero-shot reasoners.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Large language models are zero-shot reasoners

Reference 30

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Observation 6b620f24-d837-4f28-8ff3-4804c44d06e8 · outbound

This paper cites A Preliminary Exploration Towards General Image Restoration.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A Preliminary Exploration Towards General Image Restoration

Reference 31

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Observation 7059acc6-84d8-4e5c-832a-1d449b6dd4de · outbound

This paper cites Deep learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Deep learning

Reference 32

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Observation 76495a65-ce4d-4d28-9641-a91a7e326a73 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 33

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Observation 9b3f87a9-3d37-48b9-a667-7a5da7d6c3f9 · outbound

This paper cites Multimodal foundation models: From specialists to general-purpose assistants.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Multimodal foundation models: From specialists to general-purpose assistants

Reference 34

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Observation d19caa24-1bc2-4d3c-ae92-361eb27b93cf · outbound

This paper cites Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks

Reference 35

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Observation 5d348abd-2465-4189-9018-f934f6e288be · outbound

This paper cites JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration

Reference 36

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Observation 16cdb3a4-497f-4af1-be53-dd8463f31dab · outbound

This paper cites Discovering Distinctive "Semantics" in Super-Resolution Networks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Discovering Distinctive "Semantics" in Super-Resolution Networks

Reference 37

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Observation 4ef4204b-c4ee-4c33-ada9-fcb4141d296f · outbound

This paper cites Evaluating the generalization ability of super-resolution networks.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Evaluating the generalization ability of super-resolution networks

Reference 38

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Observation 750c500f-3f46-4869-bedc-fef63756a7fe · outbound

This paper cites Texture-based error analysis for image super-resolution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Texture-based error analysis for image super-resolution

Reference 39

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Observation 492415ef-6aa9-4ed9-8aeb-968a3d641bd2 · outbound

This paper cites OctoPack: Instruction Tuning Code Large Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing OctoPack: Instruction Tuning Code Large Language Models

Reference 40

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Observation c2eddaa7-3d4d-47cf-a32b-3e413e1e1ec2 · outbound

This paper cites Training language models to follow instructions with human feedback.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Training language models to follow instructions with human feedback

Reference 41

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Observation 3d270bcc-70d2-4f1a-9b55-f83473cf2e71 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Generative agents: Interactive simulacra of human behavior

Reference 42

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Observation 9c4675d9-438d-43eb-8266-40fefddbe995 · outbound

This paper cites Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Reference 43

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Observation 99a18da5-e742-436f-91cb-d7d383fe8315 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 44

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Observation eab5954b-548e-4894-ad92-f55f80dda883 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Reflexion: Language agents with verbal reinforcement learning

Reference 45

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Observation dd48c61c-e9f9-4c2f-addf-3140ac929a3e · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A general reinforcement learning algorithm that masters chess, shogi, and go through self-play

Reference 46

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Observation cec6f4e1-2d4f-462d-92d0-192a80b4be23 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing LLaMA: Open and Efficient Foundation Language Models

Reference 47

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Observation d7cf041e-cfb4-48c4-b634-8c57205a4c3d · outbound

This paper cites An overview of image caption generation methods.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing An overview of image caption generation methods

Reference 48

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Observation 272d6c0a-a83b-4aac-9d3f-a5e6287d4ed7 · outbound

This paper cites A survey on large language model based autonomous agents.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A survey on large language model based autonomous agents

Reference 49

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Observation e81c6d57-3616-483d-aa6c-a5f04c56aac5 · outbound

This paper cites Real-esrgan: Training real-world blind super- resolution with pure synthetic data.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Real-esrgan: Training real-world blind super- resolution with pure synthetic data

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:17.353429Z

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Observation 9ce1885c-0bb7-400d-a79e-497d78fc0d6c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Chain-of-thought prompting elicits reasoning in large language models

Reference 51

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Observation c7a2b548-f725-455c-a8e8-91f276324dec · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 52

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Observation 2351fd5e-7ebe-44b6-9433-8b2268e094c9 · outbound

This paper cites Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Reference 53

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Observation bf09c34d-1fbc-408d-88c3-ecb4532e3352 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 54

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Observation 4568a5ab-c723-491d-99bb-d4f1362516ab · outbound

This paper cites Towards Open-ended Visual Quality Comparison.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Towards Open-ended Visual Quality Comparison

Reference 55

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This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 56

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Observation 15cc3e9c-a34a-4e17-bb9b-de9298b7de59 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Tree of thoughts: Deliberate problem solving with large language models

Reference 57

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This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing ReAct: Synergizing Reasoning and Acting in Language Models

Reference 58

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This paper cites Teaching large language models to regress accurate image quality scores using score distribution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Teaching large language models to regress accurate image quality scores using score distribution

Reference 59

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Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Descriptive image quality assessment in the wild

Reference 60

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This paper cites Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:16.484922Z

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This paper cites Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:16.492298Z

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Observation 072a3de5-2c67-4fdb-b8ef-8cc9b49f4413 · outbound

This paper cites Crafting a toolchain for image restoration by deep reinforcement learning.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Crafting a toolchain for image restoration by deep reinforcement learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:17.305589Z

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Observation e22957b2-53f1-47f2-b625-b2970c6bee52 · outbound

This paper cites Systematic image processing for diagnosing brain tumors: A type-ii fuzzy expert system approach.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Systematic image processing for diagnosing brain tumors: A type-ii fuzzy expert system approach

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:17.290175Z

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Observation 5cc20458-0003-424f-a853-00baa04a0cfd · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:17.274920Z

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Observation b827ea88-6910-453f-9dd7-7c45d20a1f78 · outbound

This paper cites Crafting training degradation distribution for the accuracy-generalization trade-off in real-world super-resolution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Crafting training degradation distribution for the accuracy-generalization trade-off in real-world super-resolution

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:17.260577Z

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Observation dd3fca9f-5c8a-4f93-b643-d82c5833d66b · outbound

This paper cites SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:11:16.611421Z

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Observation 3a2b5ecd-1eed-4ffa-88ae-5eeaff4a1907 · outbound

This paper cites A closer look at blind super-resolution: Degradation models, baselines, and performance upper bounds.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing A closer look at blind super-resolution: Degradation models, baselines, and performance upper bounds

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:11:17.244041Z

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Observation d40cce02-aa26-4d84-a91e-4d94e7f72caa · outbound

This paper cites An Intelligent Agentic System for Complex Image Restoration Problems.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing An Intelligent Agentic System for Complex Image Restoration Problems

Reference 69

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Source-reported events for the cited work

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This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:16.532405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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