IRPO: Boosting Image Restoration via Post-training GRPO | Paper Citation Record

Observation 2f23b101-2dd6-44a4-9f67-696da170171f · outbound

This paper cites A high-quality denoising dataset for smartphone cameras.

IRPO: Boosting Image Restoration via Post-training GRPO A high-quality denoising dataset for smartphone cameras

Reference 1

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Observation 5572575a-6c74-4a1a-a653-a01ff33033a0 · outbound

This paper cites Contour detection and hierarchical image seg- mentation.TPAMI, 2010.

IRPO: Boosting Image Restoration via Post-training GRPO Contour detection and hierarchical image seg- mentation.TPAMI, 2010

Reference 2

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Observation 4f233de6-968d-4402-ad41-8892a8c76723 · outbound

This paper cites Not just streaks: Towards ground truth for single image derain- ing.

IRPO: Boosting Image Restoration via Post-training GRPO Not just streaks: Towards ground truth for single image derain- ing

Reference 3

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Observation 4909783c-d742-4d1a-9039-1b016d4a8d6a · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

IRPO: Boosting Image Restoration via Post-training GRPO Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

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Observation cfde42bf-4956-4698-a6dd-312df9c104e6 · outbound

This paper cites The perception-distortion tradeoff.

IRPO: Boosting Image Restoration via Post-training GRPO The perception-distortion tradeoff

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Observation 6afe147d-bb5f-40e1-85b3-2d0b586dfc0d · outbound

This paper cites Dehazenet: An end-to-end system for single image haze removal.TIP, 2016.

IRPO: Boosting Image Restoration via Post-training GRPO Dehazenet: An end-to-end system for single image haze removal.TIP, 2016

Reference 6

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Observation feea8c42-a54f-4d9d-b45d-dba2ffec2436 · outbound

This paper cites Hinet: Half instance normalization network for image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Hinet: Half instance normalization network for image restoration

Reference 7

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Observation c39cf595-412a-450a-b4ef-a7ae6e64d275 · outbound

This paper cites Simple baselines for image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Simple baselines for image restoration

Reference 8

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Observation ae647bd9-a64c-4318-b33c-9a7a4ae6c384 · outbound

This paper cites an unresolved cited work.

IRPO: Boosting Image Restoration via Post-training GRPO Unresolved cited work

Reference 9

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Observation 60736161-6a49-4168-bee6-5fa49cb1ebf8 · outbound

This paper cites AdaIR: Adap- tive all-in-one image restoration via frequency mining and modulation.

IRPO: Boosting Image Restoration via Post-training GRPO AdaIR: Adap- tive all-in-one image restoration via frequency mining and modulation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:38.829784Z

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Observation 217771f7-d235-42b4-aa78-ef9fd1cc1374 · outbound

This paper cites Color image denoising via sparse 3d col- laborative filtering with grouping constraint in luminance- chrominance space.

IRPO: Boosting Image Restoration via Post-training GRPO Color image denoising via sparse 3d col- laborative filtering with grouping constraint in luminance- chrominance space

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:38.912046Z

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Observation b221ce87-db04-455e-a6b3-0304171e78d3 · outbound

This paper cites Image super-resolution using deep convolutional net- works.IEEE transactions on pattern analysis and machine intelligence, 38(2):295–307, 2015.

IRPO: Boosting Image Restoration via Post-training GRPO Image super-resolution using deep convolutional net- works.IEEE transactions on pattern analysis and machine intelligence, 38(2):295–307, 2015

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:38.966234Z

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Observation fec16136-fe76-4d5e-8920-29cc6f8fed5b · outbound

This paper cites Fd-gan: Generative adversarial networks with fusion- discriminator for single image dehazing.

IRPO: Boosting Image Restoration via Post-training GRPO Fd-gan: Generative adversarial networks with fusion- discriminator for single image dehazing

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.046181Z

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Observation 99516f45-064b-491c-8435-65b856e1e48c · outbound

This paper cites A general decoupled learn- ing framework for parameterized image operators.TPAMI,.

IRPO: Boosting Image Restoration via Post-training GRPO A general decoupled learn- ing framework for parameterized image operators.TPAMI,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.101365Z

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Observation d857fd32-c8c1-482b-b4ca-cb11b79c0bbf · outbound

This paper cites Dy- namic scene deblurring with parameter selective sharing and nested skip connections.

IRPO: Boosting Image Restoration via Post-training GRPO Dy- namic scene deblurring with parameter selective sharing and nested skip connections

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.155783Z

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Observation ed9af779-95b3-4d65-91f3-89ad7edd0086 · outbound

This paper cites Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering.

IRPO: Boosting Image Restoration via Post-training GRPO Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.207564Z

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Observation 9dfee3a1-7e99-44c9-afb0-998f9e7469f7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

IRPO: Boosting Image Restoration via Post-training GRPO DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.232544Z

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Observation 3eeb0094-159c-4336-8656-eea6fdcf3958 · outbound

This paper cites Toward convolutional blind denoising of real pho- tographs.

IRPO: Boosting Image Restoration via Post-training GRPO Toward convolutional blind denoising of real pho- tographs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.235720Z

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Observation 23512d5f-23e2-4032-9e38-ae17b5a7cdab · outbound

This paper cites Face super-resolution guided by 3d facial priors.

IRPO: Boosting Image Restoration via Post-training GRPO Face super-resolution guided by 3d facial priors

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.238981Z

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Observation 6628b36f-500b-4fe5-be82-172807e1b07b · outbound

This paper cites Face restoration via plug-and-play 3d facial priors.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12):8910–8926, 2021.

IRPO: Boosting Image Restoration via Post-training GRPO Face restoration via plug-and-play 3d facial priors.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12):8910–8926, 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.242111Z

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Observation 571474a7-a983-48b8-8226-3240e007d558 · outbound

This paper cites Single image super-resolution from transformed self-exemplars.

IRPO: Boosting Image Restoration via Post-training GRPO Single image super-resolution from transformed self-exemplars

Reference 21

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Observation 90e2b5bb-80df-4329-970f-2f141a78e528 · outbound

This paper cites Hunyuan3d-omni: A unified framework for controllable generation of 3d assets.

IRPO: Boosting Image Restoration via Post-training GRPO Hunyuan3d-omni: A unified framework for controllable generation of 3d assets

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.247354Z

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Observation ae444e51-b47e-4ecc-99a2-84262b80f6ae · outbound

This paper cites Loli-street: Bench- marking low-light image enhancement and beyond.

IRPO: Boosting Image Restoration via Post-training GRPO Loli-street: Bench- marking low-light image enhancement and beyond

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Observation cb1880f5-8d44-4726-841d-20291efb4537 · outbound

This paper cites OpenAI o1 System Card.

IRPO: Boosting Image Restoration via Post-training GRPO OpenAI o1 System Card

Reference 24

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Observation 16898427-0028-4a60-a018-f88e393b0630 · outbound

This paper cites Supervised learning of image restoration with convolutional networks.

IRPO: Boosting Image Restoration via Post-training GRPO Supervised learning of image restoration with convolutional networks

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Observation 5a70253b-6311-4c84-8cad-972c2e1161fc · outbound

This paper cites Sonic: Shifting focus to global au- dio perception in portrait animation.

IRPO: Boosting Image Restoration via Post-training GRPO Sonic: Shifting focus to global au- dio perception in portrait animation

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.258211Z

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Observation a36b0dca-643d-48b3-ac50-fd4d50436f58 · outbound

This paper cites Multi-scale progressive fusion network for single image deraining.

IRPO: Boosting Image Restoration via Post-training GRPO Multi-scale progressive fusion network for single image deraining

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Observation a62abafa-08c6-478a-98e6-a861b7db506c · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

IRPO: Boosting Image Restoration via Post-training GRPO Perceptual losses for real-time style transfer and super-resolution

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Observation 5815d438-b195-45de-be6e-c6442623e4eb · outbound

This paper cites Can grpo boost complex mul- timodal table understanding? InProceedings of the 2025 Conference on Empirical Methods in Natural Language Pro- cessing, pages 12642–12655, 2025.

IRPO: Boosting Image Restoration via Post-training GRPO Can grpo boost complex mul- timodal table understanding? InProceedings of the 2025 Conference on Empirical Methods in Natural Language Pro- cessing, pages 12642–12655, 2025

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Observation 9bb1866f-e285-4f85-958c-e1db0a10bb99 · outbound

This paper cites A survey of post-training scaling in large language models.

IRPO: Boosting Image Restoration via Post-training GRPO A survey of post-training scaling in large language models

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Observation 46ff086a-b29b-451d-a5ed-e5b5277cf4b6 · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

IRPO: Boosting Image Restoration via Post-training GRPO Noise2Noise: Learning Image Restoration without Clean Data

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Observation b4e234d8-651b-4a7e-b358-23e1cf831477 · outbound

This paper cites Benchmarking single- image dehazing and beyond.TIP, 2018.

IRPO: Boosting Image Restoration via Post-training GRPO Benchmarking single- image dehazing and beyond.TIP, 2018

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Observation 4d08bdde-df4d-4f7a-9751-c30c4f09ab02 · outbound

This paper cites All-in-one image restoration for unknown cor- ruption.

IRPO: Boosting Image Restoration via Post-training GRPO All-in-one image restoration for unknown cor- ruption

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Observation 44028547-7c83-42c6-8041-f21b7df47282 · outbound

This paper cites Real-world deep local motion deblur- ring.

IRPO: Boosting Image Restoration via Post-training GRPO Real-world deep local motion deblur- ring

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Observation 22843845-0f3a-4030-a75e-976f4f12f2fc · outbound

This paper cites T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.arXiv preprint arXiv:2410.05677, 2024.

IRPO: Boosting Image Restoration via Post-training GRPO T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.arXiv preprint arXiv:2410.05677, 2024

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Observation c0c9923c-84e9-421a-a032-08fe25c9cb2d · outbound

This paper cites Swinir: Image restoration us- ing swin transformer.

IRPO: Boosting Image Restoration via Post-training GRPO Swinir: Image restoration us- ing swin transformer

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Observation 7b729df0-dea9-42fc-bb77-8f0eaefc776e · outbound

This paper cites Vrt: A video restoration transformer.IEEE Transactions on Image Processing, 33:2171–2182, 2024.

IRPO: Boosting Image Restoration via Post-training GRPO Vrt: A video restoration transformer.IEEE Transactions on Image Processing, 33:2171–2182, 2024

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Observation 76c252c4-1828-4503-9b0b-4367180f5ea7 · outbound

This paper cites Vton-handfit: Virtual try-on for arbi- trary hand pose guided by hand priors embedding.

IRPO: Boosting Image Restoration via Post-training GRPO Vton-handfit: Virtual try-on for arbi- trary hand pose guided by hand priors embedding

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Observation fb03eca8-6161-40b6-be92-914c94e237e9 · outbound

This paper cites Diffusion adversarial post-training for one-step video generation.arXiv preprint arXiv:2501.08316,.

IRPO: Boosting Image Restoration via Post-training GRPO Diffusion adversarial post-training for one-step video generation.arXiv preprint arXiv:2501.08316,

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Observation 7feb49c2-ddaf-42fc-be7d-640542e53845 · outbound

This paper cites Autoregressive adversarial post-training for real-time inter- active video generation.arXiv preprint arXiv:2506.09350,.

IRPO: Boosting Image Restoration via Post-training GRPO Autoregressive adversarial post-training for real-time inter- active video generation.arXiv preprint arXiv:2506.09350,

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Observation 92f3335f-7d4a-421b-a7e6-c36c43c4a119 · outbound

This paper cites Tape: Task-agnostic prior embedding for image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Tape: Task-agnostic prior embedding for image restoration

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Observation 98c906bd-3048-4648-b010-9c03afa9d842 · outbound

This paper cites Moa-vr: A mixture- of-agents system towards all-in-one video restoration.arXiv preprint arXiv:2510.08508, 2025.

IRPO: Boosting Image Restoration via Post-training GRPO Moa-vr: A mixture- of-agents system towards all-in-one video restoration.arXiv preprint arXiv:2510.08508, 2025

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Observation 4f1a54a6-0afd-4e23-a383-795350605cf3 · outbound

This paper cites Two-stage mamba-based diffusion model for image restora- tion.Scientific Reports, 15(1):22265, 2025.

IRPO: Boosting Image Restoration via Post-training GRPO Two-stage mamba-based diffusion model for image restora- tion.Scientific Reports, 15(1):22265, 2025

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Observation 7922e5b3-4e0b-4298-8e41-375e18aa2f7a · outbound

This paper cites Post-training quantization for vision trans- former.Advances in Neural Information Processing Systems, 34:28092–28103, 2021.

IRPO: Boosting Image Restoration via Post-training GRPO Post-training quantization for vision trans- former.Advances in Neural Information Processing Systems, 34:28092–28103, 2021

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Observation 768c9bc7-ca53-4a09-96ee-643fdb8f9fcc · outbound

This paper cites Waterloo ex- ploration database: New challenges for image quality assess- ment models.TIP, 2016.

IRPO: Boosting Image Restoration via Post-training GRPO Waterloo ex- ploration database: New challenges for image quality assess- ment models.TIP, 2016

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Observation b651bc9a-9266-4d96-ab0a-6cc503aae921 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

IRPO: Boosting Image Restoration via Post-training GRPO A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

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Observation 751f7cf0-e40e-46cf-9a69-09c384d2c183 · outbound

This paper cites Deep generalized unfolding networks for image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Deep generalized unfolding networks for image restoration

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Observation 5fcf4bf7-687c-407e-b5dd-8a1ee2e9aa33 · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

IRPO: Boosting Image Restoration via Post-training GRPO Deep multi-scale convolutional neural network for dynamic scene deblurring

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Observation 1a09e818-be8b-4774-a3d5-71633af190db · outbound

This paper cites Promptir: Prompting for all-in- one image restoration.NeurIPS, 2023.

IRPO: Boosting Image Restoration via Post-training GRPO Promptir: Prompting for all-in- one image restoration.NeurIPS, 2023

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Observation 8f6d4493-0bc1-4a99-9994-6333f0c359cd · outbound

This paper cites VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning.

IRPO: Boosting Image Restoration via Post-training GRPO VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning

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Observation f9e9a19b-17ea-4cec-b9b0-61dc61d4d9a3 · outbound

This paper cites En- hanced pix2pix dehazing network.

IRPO: Boosting Image Restoration via Post-training GRPO En- hanced pix2pix dehazing network

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Observation 9c7e288e-70c7-436b-ba8e-7c1cea19f9e4 · outbound

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

IRPO: Boosting Image Restoration via Post-training GRPO Learning transferable visual models from natural language supervi- sion

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Observation 219231a8-be9c-4b23-ba40-a164ca47320d · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

IRPO: Boosting Image Restoration via Post-training GRPO Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

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Observation 6fa7d36c-f232-4ca4-aaeb-da0b8d1bcf31 · outbound

This paper cites Single image dehazing via multi- scale convolutional neural networks.

IRPO: Boosting Image Restoration via Post-training GRPO Single image dehazing via multi- scale convolutional neural networks

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Observation 2323ba71-286c-4e37-95c4-b54b8f75c630 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural in- formation processing systems, 35:25278–25294, 2022.

IRPO: Boosting Image Restoration via Post-training GRPO Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural in- formation processing systems, 35:25278–25294, 2022

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Observation 747a5489-7f3c-4c55-8d00-5d6628b7e17c · outbound

This paper cites Post-training quantization on diffusion models.

IRPO: Boosting Image Restoration via Post-training GRPO Post-training quantization on diffusion models

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Observation 62eb4948-55bc-4d9a-99e0-de4e55185b90 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

IRPO: Boosting Image Restoration via Post-training GRPO DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.340677Z

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Observation f3914dc9-f482-44e9-96b5-5b231900b975 · outbound

This paper cites Fine-grained image quality assessment for per- ceptual image restoration.arXiv preprint arXiv:2508.14475,.

IRPO: Boosting Image Restoration via Post-training GRPO Fine-grained image quality assessment for per- ceptual image restoration.arXiv preprint arXiv:2508.14475,

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.343943Z

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Observation 81d81336-1112-4d5d-b41a-27eaec3a0852 · outbound

This paper cites Image de- noising using deep cnn with batch renormalization.Neural Networks, 2020.

IRPO: Boosting Image Restoration via Post-training GRPO Image de- noising using deep cnn with batch renormalization.Neural Networks, 2020

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.346709Z

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Observation 3e3f37ad-2c6a-4abd-a980-19bfdf46a247 · outbound

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

IRPO: Boosting Image Restoration via Post-training GRPO LLaMA: Open and Efficient Foundation Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.349405Z

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Observation 57dfbe95-4bdb-4dd8-8fbe-4882408549f7 · outbound

This paper cites Transweather: Transformer-based restoration of im- ages degraded by adverse weather conditions.

IRPO: Boosting Image Restoration via Post-training GRPO Transweather: Transformer-based restoration of im- ages degraded by adverse weather conditions

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.352263Z

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Observation 4b79ff92-5b99-4c9c-ac49-54c7d345094e · outbound

This paper cites Apisr: Anime production inspired real-world anime super-resolution.

IRPO: Boosting Image Restoration via Post-training GRPO Apisr: Anime production inspired real-world anime super-resolution

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.355031Z

Source-reported events for the cited work

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Observation d281c04e-1475-4c0b-8ca7-70ac309e07ae · outbound

This paper cites Esrgan: En- hanced super-resolution generative adversarial networks.

IRPO: Boosting Image Restoration via Post-training GRPO Esrgan: En- hanced super-resolution generative adversarial networks

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.357610Z

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Observation 1e050e86-86c3-4e09-ba22-b49d222beb4e · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

IRPO: Boosting Image Restoration via Post-training GRPO Deep Retinex Decomposition for Low-Light Enhancement

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.360170Z

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Observation 31796191-5a9b-46d5-8afe-d7a698f1d6c8 · outbound

This paper cites Boosting All-in-One Image Restoration via Self-Improved Privilege Learning.

IRPO: Boosting Image Restoration via Post-training GRPO Boosting All-in-One Image Restoration via Self-Improved Privilege Learning

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.363019Z

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Observation 720a601b-3427-4f42-af86-2c69295ee113 · outbound

This paper cites Cross-domain car detection model with integrated convolu- tional block attention mechanism.Image and Vision Com- puting, 140:104834, 2023.

IRPO: Boosting Image Restoration via Post-training GRPO Cross-domain car detection model with integrated convolu- tional block attention mechanism.Image and Vision Com- puting, 140:104834, 2023

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.365893Z

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Observation 10fcfdd8-f0c0-45e5-8cb6-e37bd0542225 · outbound

This paper cites Joint rain detection and removal from a single image with contextualized deep net- works.TPAMI, 2019.

IRPO: Boosting Image Restoration via Post-training GRPO Joint rain detection and removal from a single image with contextualized deep net- works.TPAMI, 2019

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.368878Z

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Observation 698a51c2-5987-4520-90f8-66e0c639e462 · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

IRPO: Boosting Image Restoration via Post-training GRPO R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.371464Z

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Observation b49ba789-08b4-4342-a4ea-ed38daeffc4a · outbound

This paper cites Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining.

IRPO: Boosting Image Restoration via Post-training GRPO Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.374648Z

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Observation 3eaf8ee9-696a-41b0-a272-a03eaa87085b · outbound

This paper cites Vla-r1: Enhancing rea- soning in vision-language-action models.arXiv preprint arXiv:2510.01623, 2025.

IRPO: Boosting Image Restoration via Post-training GRPO Vla-r1: Enhancing rea- soning in vision-language-action models.arXiv preprint arXiv:2510.01623, 2025

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.377324Z

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Observation ebc83e44-7919-4f3f-b144-2ef19a304149 · outbound

This paper cites FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning.

IRPO: Boosting Image Restoration via Post-training GRPO FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.380005Z

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Observation c4e3fc4f-c29c-4ae9-ab5d-152f430efd88 · outbound

This paper cites Multi-stage progressive image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Multi-stage progressive image restoration

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.382892Z

Source-reported events for the cited work

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Observation 39d1a251-87a4-4915-82d7-016919c1676d · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Restormer: Efficient transformer for high-resolution image restoration

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.385656Z

Source-reported events for the cited work

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Observation f70f38bf-3022-469b-976e-38e539f516ff · outbound

This paper cites Learning enriched features for fast image restoration and enhancement.TPAMI, 2022.

IRPO: Boosting Image Restoration via Post-training GRPO Learning enriched features for fast image restoration and enhancement.TPAMI, 2022

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.388380Z

Source-reported events for the cited work

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Observation ebb0888e-a5df-4799-896e-877de2bdf314 · outbound

This paper cites Density-aware single image de-raining using a multi-stream dense network.

IRPO: Boosting Image Restoration via Post-training GRPO Density-aware single image de-raining using a multi-stream dense network

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.391306Z

Source-reported events for the cited work

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Observation cd26257a-c190-4665-846e-a822c7c7573f · outbound

This paper cites Ingredient-oriented multi- degradation learning for image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Ingredient-oriented multi- degradation learning for image restoration

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.394231Z

Source-reported events for the cited work

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Observation 5cdd2b03-e76b-418c-aa8c-b937ce460b06 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

IRPO: Boosting Image Restoration via Post-training GRPO R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.396917Z

Source-reported events for the cited work

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Observation ba4e89bd-6b3a-4286-ba60-e370fa7c969b · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.TIP, 2017.

IRPO: Boosting Image Restoration via Post-training GRPO Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.TIP, 2017

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.399893Z

Source-reported events for the cited work

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Observation 55ed92a6-aa8a-4ce4-86d4-fd8e6ebbbaa7 · outbound

This paper cites Learning deep CNN denoiser prior for image restoration.

IRPO: Boosting Image Restoration via Post-training GRPO Learning deep CNN denoiser prior for image restoration

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.402677Z

Source-reported events for the cited work

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Observation 70c5ca71-622a-45c4-95f5-579ff748bad4 · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising.

IRPO: Boosting Image Restoration via Post-training GRPO Ffdnet: Toward a fast and flexible solution for cnn-based image denoising

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.405419Z

Source-reported events for the cited work

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Observation 9f3cd35b-f4e5-4146-b3d4-03efebe9ad37 · outbound

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

IRPO: Boosting Image Restoration via Post-training GRPO The unreasonable effectiveness of deep features as a perceptual metric

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.408449Z

Source-reported events for the cited work

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Observation 3e75ad3c-7547-46d3-a9ae-fc620b2cdff9 · outbound

This paper cites an unresolved cited work.

IRPO: Boosting Image Restoration via Post-training GRPO Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.411387Z

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Observation ed38011c-d8a3-4483-8138-92e7123611f3 · outbound

This paper cites Real-world remote sensing image dehaz- ing: Benchmark and baseline.IEEE Transactions on Geo- science and Remote Sensing, 2025.

IRPO: Boosting Image Restoration via Post-training GRPO Real-world remote sensing image dehaz- ing: Benchmark and baseline.IEEE Transactions on Geo- science and Remote Sensing, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.414977Z

Source-reported events for the cited work

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Observation b07e3c5a-b33f-4f0e-8711-80d04b2f9cf6 · outbound

This paper cites A robustly optimized bert pre-training approach with post-training.

IRPO: Boosting Image Restoration via Post-training GRPO A robustly optimized bert pre-training approach with post-training

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Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.417866Z

Source-reported events for the cited work

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Observation 3c460d4c-b3ac-4c40-89cd-d3b3bb907776 · outbound

This paper cites an unresolved cited work.

IRPO: Boosting Image Restoration via Post-training GRPO Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.420904Z

Source-reported events for the cited work

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Observation 2480ac6b-b8a6-4a91-b599-500b4a0f7293 · outbound

This paper cites an unresolved cited work.

IRPO: Boosting Image Restoration via Post-training GRPO Unresolved cited work

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.423536Z

Source-reported events for the cited work

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Observation 18e7216c-2258-4f9b-9a11-9d04196c0bfe · outbound

This paper cites an unresolved cited work.

IRPO: Boosting Image Restoration via Post-training GRPO Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.426299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c0c97c6-c61e-4085-861d-4d2fb99c099d · outbound

This paper cites Consider categories such as denoising (0/1/2, different noise levels), deraining (3), dehaz- ing (4), deblurring (5), or low-light enhancement (6).

IRPO: Boosting Image Restoration via Post-training GRPO Consider categories such as denoising (0/1/2, different noise levels), deraining (3), dehaz- ing (4), deblurring (5), or low-light enhancement (6)

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.428968Z

Source-reported events for the cited work

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Observation 10bb0c0f-0014-4b90-a713-88c0c4e93167 · outbound

This paper cites Pay attention to: • Noise or streak removal quality for denois- ing/deraining.

IRPO: Boosting Image Restoration via Post-training GRPO Pay attention to: • Noise or streak removal quality for denois- ing/deraining

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.431602Z

Source-reported events for the cited work

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Observation 997ba2b7-131f-41d7-b6c7-08bf80a295ac · outbound

This paper cites an unresolved cited work.

IRPO: Boosting Image Restoration via Post-training GRPO Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.434201Z

Source-reported events for the cited work

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Observation b23c2086-8dcd-42ea-a965-738ecee70657 · outbound

This paper cites an unresolved cited work.

IRPO: Boosting Image Restoration via Post-training GRPO Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-03T19:24:39.437108Z

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