Paper Citation Record · LEDGER

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2505.21637.

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

pith.paper-citation-record.v1
2505.21637 v1

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measured 59 of 59 reference resolution

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation 7994eb82-1df9-466d-aa66-678b33bae5f3 · outbound

This paper cites LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 1

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Observation 7fc980e3-8dcd-4c20-8dad-1a24f674bee9 · outbound

This paper cites O-haze: a dehazing bench- mark with real hazy and haze-free outdoor images.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration O-haze: a dehazing bench- mark with real hazy and haze-free outdoor images

Reference 2

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Observation eaf9e0a4-69cc-4906-9f83-734c5698750b · outbound

This paper cites Robust cross-modal representation learning with progressive self- distillation.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Robust cross-modal representation learning with progressive self- distillation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:37.484087Z

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Observation 0a920983-c219-4587-adbb-1d706153895e · outbound

This paper cites Speecht5: Unified-modal encoder-decoder pre-training for spoken language processing.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Speecht5: Unified-modal encoder-decoder pre-training for spoken language processing

Reference 4

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Observation 0ca0dd78-c018-43b7-bfe0-8c4c999bf154 · outbound

This paper cites Contour detection and hierarchical image seg- mentation.IEEE TPAMI, 33(5):898–916, 2010.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Contour detection and hierarchical image seg- mentation.IEEE TPAMI, 33(5):898–916, 2010

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:37.172128Z

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Observation a360c945-a4df-4448-8d72-83b4e8fcbc14 · outbound

This paper cites Simple baselines for image restoration.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Simple baselines for image restoration

Reference 6

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Observation 9d0ecb26-38c0-4ff3-9417-1ec2102a7aa9 · outbound

This paper cites Learning a low- level vision generalist via visual task prompt.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Learning a low- level vision generalist via visual task prompt

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:36.806614Z

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Observation 3426ed5c-4db4-45ab-9c10-dd628ee9883e · outbound

This paper cites Uniter: Universal image-text representation learning.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Uniter: Universal image-text representation learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:36.616192Z

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Observation feb971a4-ec8e-4f23-8752-5dd178773266 · outbound

This paper cites Variational wasserstein barycenters with c- cyclical monotonicity regularization.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Variational wasserstein barycenters with c- cyclical monotonicity regularization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:36.403358Z

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Observation 92f7888e-a3d5-4f6c-927d-f2e23193810a · outbound

This paper cites Instruc- tir: High-quality image restoration following human instruc- tions.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Instruc- tir: High-quality image restoration following human instruc- tions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:36.228020Z

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Observation 55de3a34-61a9-48b7-8798-14740fa41b8b · outbound

This paper cites Adair: Adaptive all-in-one image restoration via frequency mining and mod- ulation.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Adair: Adaptive all-in-one image restoration via frequency mining and mod- ulation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:36.011834Z

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Observation e786ec17-f9d1-462d-a98d-d6e76f713e69 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration An image is worth 16x16 words: Transformers for image recognition at scale

Reference 12

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Observation d57f6881-4601-4ea1-9ea6-34e0b5436603 · outbound

This paper cites Multi-modal alignment us- ing representation codebook.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Multi-modal alignment us- ing representation codebook

Reference 13

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Observation d12a8a0e-6067-407e-9790-004aab1487f8 · outbound

This paper cites Deep residual learning for image recognition.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Deep residual learning for image recognition

Reference 14

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Observation fb2d09d7-e6e8-4ec4-abbd-dcd516b9ffb8 · outbound

This paper cites A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends

Reference 15

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Observation a3232748-d12d-465c-ad6b-b55d8a647d62 · outbound

This paper cites On the translocation of masses.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration On the translocation of masses

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:35.590850Z

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Observation ecc1451a-abf7-4d96-94eb-501ac2529d52 · outbound

This paper cites Continuous wasserstein-2 barycenter es- timation without minimax optimization.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Continuous wasserstein-2 barycenter es- timation without minimax optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:35.353993Z

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Observation 04e70f9a-98a4-4cc9-9326-69e35ef8a3e2 · outbound

This paper cites A comparative study for single im- age blind deblurring.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration A comparative study for single im- age blind deblurring

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:35.092969Z

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Observation c4d0cdbb-35d2-4561-8c39-6886692bd4e1 · outbound

This paper cites Deep laplacian pyramid networks for fast and accurate super-resolution.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Deep laplacian pyramid networks for fast and accurate super-resolution

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:34.888089Z

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Observation c4caa63c-ece7-4e4e-b7e5-30ff16adf98f · outbound

This paper cites Fast and accurate image super-resolution with deep laplacian pyramid networks.IEEE TPAMI, 41(11): 2599–2613, 2018.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Fast and accurate image super-resolution with deep laplacian pyramid networks.IEEE TPAMI, 41(11): 2599–2613, 2018

Reference 20

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Observation f0f9a5b1-025e-450a-bae0-e1ef76fc9f75 · outbound

This paper cites Towards fully autonomous driving: Systems and algorithms.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Towards fully autonomous driving: Systems and algorithms

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:34.333521Z

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Observation c51d200d-59ed-4c93-a172-44efbec4ff4f · outbound

This paper cites Benchmarking single- image dehazing and beyond.IEEE TIP, 28(1):492–505,.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Benchmarking single- image dehazing and beyond.IEEE TIP, 28(1):492–505,

Reference 22

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Observation bba48dc0-2ff7-478a-9cde-703e9acb8b2e · outbound

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

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration All-in-one image restoration for unknown cor- ruption

Reference 23

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Observation 6cb77540-7696-4324-90cf-7901cee5221f · outbound

This paper cites Continuous regularized wasserstein barycenters.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Continuous regularized wasserstein barycenters

Reference 24

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Observation 90104246-330c-4a71-885a-0f28d06bfbe9 · outbound

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

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Swinir: Image restoration us- ing swin transformer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:33.608616Z

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Observation 9ddc469b-6177-442b-b901-f443ede980eb · outbound

This paper cites Deep continuous fusion for multi-sensor 3d object detection.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Deep continuous fusion for multi-sensor 3d object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:33.391869Z

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Observation 9caf2c54-fff5-4a16-9250-20af31a78dcb · outbound

This paper cites Cross-modal dis- crete representation learning.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Cross-modal dis- crete representation learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:33.173517Z

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Observation c4b4ffc7-940f-4e2f-8dbc-d91f8eff6cc0 · outbound

This paper cites Unifying image pro- cessing as visual prompting question answering.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Unifying image pro- cessing as visual prompting question answering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:32.997149Z

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Observation 5a4cff50-c8e0-4757-8a59-a4aa96ef1b62 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Swin transformer: Hierarchical vision transformer using shifted windows

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:32.805836Z

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Observation a130ced2-98df-4e27-83ed-858505146fb6 · outbound

This paper cites UNIFIED-IO: A unified model for vision, language, and multi-modal tasks.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration UNIFIED-IO: A unified model for vision, language, and multi-modal tasks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:32.582229Z

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Observation 4645a5c3-cc23-4d70-8ac2-5d87d2c9e6cb · outbound

This paper cites Image restoration with mean-reverting stochastic differential equations.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Image restoration with mean-reverting stochastic differential equations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:32.440128Z

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Observation b53b6fc1-94a3-45e7-963d-1f231c0fbbdb · outbound

This paper cites Controlling vision-language models for multi-task image restoration.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Controlling vision-language models for multi-task image restoration

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:32.266332Z

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Observation 72e86125-2d1a-4299-b334-87351e139eb1 · outbound

This paper cites Waterloo ex- ploration database: New challenges for image quality assess- ment models.IEEE TIP, 26(2):1004–1016, 2016.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Waterloo ex- ploration database: New challenges for image quality assess- ment models.IEEE TIP, 26(2):1004–1016, 2016

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:32.138792Z

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Observation acb4b819-071c-4541-87f5-5dac00fa63e3 · outbound

This paper cites completely blind.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration completely blind

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.995226Z

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Observation ba191279-167e-40d2-a301-e9b05446bc06 · outbound

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

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Promptir: Prompting for all-in-one blind image restoration.NeurIPS, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.887880Z

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Observation 08a9b0a5-2340-47ec-bf44-317e7006e5be · outbound

This paper cites Multi- modal fusion transformer for end-to-end autonomous driv- ing.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Multi- modal fusion transformer for end-to-end autonomous driv- ing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.690857Z

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Observation 4578a045-6600-48fd-bc1a-6dd6ac572db9 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Learn- ing transferable visual models from natural language super- vision

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.475645Z

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Observation 247e7737-e208-4a6b-a8b8-5a0a16ec2956 · outbound

This paper cites Integral functionals, normal integrands and measurable selections.Nonlinear Operators and the Calcu- lus of Variations, pages 157–207, 1976.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Integral functionals, normal integrands and measurable selections.Nonlinear Operators and the Calcu- lus of Variations, pages 157–207, 1976

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.382434Z

Source-reported events for the cited work

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Observation e94169c2-1083-46ab-b677-cb6e72bcdb8a · outbound

This paper cites Xkd: Cross-modal knowl- edge distillation with domain alignment for video represen- tation learning.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Xkd: Cross-modal knowl- edge distillation with domain alignment for video represen- tation learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.277580Z

Source-reported events for the cited work

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Observation 798b7311-8c85-428e-b7be-8fe42ee25d59 · outbound

This paper cites Restoring images in adverse weather condi- tions via histogram transformer.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Restoring images in adverse weather condi- tions via histogram transformer

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.215652Z

Source-reported events for the cited work

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Observation 38bc8b3b-8531-4b8f-bbea-b0c4b060e39a · outbound

This paper cites Uncertainty-aware unsupervised image deblurring with deep residual prior.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Uncertainty-aware unsupervised image deblurring with deep residual prior

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.092234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 076d3592-d760-42eb-8014-20b4072751cd · outbound

This paper cites Residual- conditioned optimal transport: Towards structure-preserving unpaired and paired image restoration.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Residual- conditioned optimal transport: Towards structure-preserving unpaired and paired image restoration

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.052523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fee75750-32ea-4815-9197-885c002d01d0 · outbound

This paper cites Degradation-aware residual-conditioned optimal trans- port for unified image restoration.IEEE TPAMI, pages 1–16,.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Degradation-aware residual-conditioned optimal trans- port for unified image restoration.IEEE TPAMI, pages 1–16,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:31.016108Z

Source-reported events for the cited work

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Observation 106b65ad-3100-4638-81ff-0269d6d139c2 · outbound

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

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Transweather: Transformer-based restoration of im- ages degraded by adverse weather conditions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.987316Z

Source-reported events for the cited work

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Observation 825cde0a-5c66-4d13-922e-0ac62f881426 · outbound

This paper cites Attention is all you need.NeurIPS, 30, 2017.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Attention is all you need.NeurIPS, 30, 2017

Reference 45

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Observation 7b8ee5da-6de1-4478-abd9-811141563d1f · outbound

This paper cites Blind image quality evaluation using perception based features.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Blind image quality evaluation using perception based features

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.925270Z

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Observation b38cf98f-d1bb-40fe-839c-1da1ff8f73d9 · outbound

This paper cites Springer, 2009.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Springer, 2009

Reference 47

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BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:32:30.846556Z

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Observation 5667d34a-5bb6-472d-b99c-872e064cb75a · outbound

This paper cites Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.766203Z

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Observation 7ffdbc28-cff4-4732-ae4d-68c6eda2a76c · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:28.881280Z

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Observation 37fa726b-96ca-48b3-85fa-163dc26c7264 · outbound

This paper cites Deep joint rain detection and removal from a single image.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Deep joint rain detection and removal from a single image

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:29.026375Z

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Observation 632feb2a-b6b3-4ee3-ac66-eeb1a6bc0ce7 · outbound

This paper cites Prototypical partial optimal transport for universal domain adaptation.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Prototypical partial optimal transport for universal domain adaptation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.695151Z

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Observation a51cd680-416a-4eb2-ab9e-fb3f07ef29b3 · outbound

This paper cites Efficient Degradation-aware Any Image Restoration.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Efficient Degradation-aware Any Image Restoration

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:29.199150Z

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Observation 55e8f1fc-7c5f-460a-b125-6595b171d559 · outbound

This paper cites Multi-stage progressive image restoration.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Multi-stage progressive image restoration

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:29.314853Z

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Observation f2bf475d-9f21-45b2-873f-73c3a7a0a311 · outbound

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

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.546170Z

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Observation 7ffdf8b8-445a-4999-807a-703d2bc51fe7 · outbound

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

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Ingredient-oriented multi- degradation learning for image restoration

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.427879Z

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Observation 64b28db0-6c8c-4bca-b275-9fb65b3d71a8 · outbound

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

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Ffdnet: Toward a fast and flexible solution for cnn-based image denoising

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.282594Z

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Observation adea0456-6f33-4123-aefb-b48bbda8dd7d · outbound

This paper cites Selective hourglass mapping for universal image restoration based on diffusion model.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Selective hourglass mapping for universal image restoration based on diffusion model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:30.124454Z

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Observation 029b83b6-754f-4b23-a18b-fed68dce833b · outbound

This paper cites Fourmer: an efficient global modeling paradigm for image restoration.

BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration Fourmer: an efficient global modeling paradigm for image restoration

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:32:29.964789Z

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Pith citing papers

Observation 6595670b-4f3f-4ae3-87db-b4205fb2b490 · inbound

ClusIR: Towards Cluster-Guided All-in-One Image Restoration cites this paper.

ClusIR: Towards Cluster-Guided All-in-One Image Restoration BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration

Reference 42

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Observation 7a9339b0-20c9-46f4-8c2e-9b2974c6f572 · inbound

MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration cites this paper.

MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image Restoration

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-04T20:14:04.577394Z

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