Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:48:29.733730Z
Paper Citation Record · LEDGER
LAN: Learning to Adapt Noise for Image Denoising
As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2412.10651.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
56 of 56 outbound references displayed
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- verified fuzzy39
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c70fca74-a076-42a8-a079-099c6cfdd22a · outbound
This paper cites an unresolved cited work.
LAN: Learning to Adapt Noise for Image Denoising Unresolved cited work
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8e3d842f-1fcf-4f65-b5e7-eea68d1a8bfb · outbound
This paper cites Noise flow: Noise modeling with con- ditional normalizing flows.
LAN: Learning to Adapt Noise for Image Denoising Noise flow: Noise modeling with con- ditional normalizing flows
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:32.169231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 916ab4ca-7f03-40a4-92e1-db16da10f221 · outbound
This paper cites Ntire 2020 challenge on real image denoising: Dataset, methods and results.
LAN: Learning to Adapt Noise for Image Denoising Ntire 2020 challenge on real image denoising: Dataset, methods and results
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 10288515-cb45-4de4-8356-554ed31e4070 · outbound
This paper cites Renoir–a dataset for real low-light image noise reduction.
LAN: Learning to Adapt Noise for Image Denoising Renoir–a dataset for real low-light image noise reduction
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation c02f4d22-faac-4e4b-9caa-ec91fb958287 · outbound
This paper cites Real image denoising with feature attention.
LAN: Learning to Adapt Noise for Image Denoising Real image denoising with feature attention
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0fea61c9-5f46-4d65-be9b-0c2e65198f89 · outbound
This paper cites Noise2self: Blind denoising by self-supervision.
LAN: Learning to Adapt Noise for Image Denoising Noise2self: Blind denoising by self-supervision
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.947432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 430b7618-2a67-4344-96b6-461cbeaee34a · outbound
This paper cites A non-local algorithm for image denoising.
LAN: Learning to Adapt Noise for Image Denoising A non-local algorithm for image denoising
Reference 7
- Resolution
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- raw_fallback, observed 2026-08-11T15:48:31.928190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bfcf50e1-0557-4671-a379-8a40ddf0a635 · outbound
This paper cites Towards evaluating the robustness of neural networks.
LAN: Learning to Adapt Noise for Image Denoising Towards evaluating the robustness of neural networks
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6f0e77db-a02c-4158-81eb-1aa3dcd5e361 · outbound
This paper cites Learn- ing camera-aware noise models.
LAN: Learning to Adapt Noise for Image Denoising Learn- ing camera-aware noise models
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.760943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c79b5fe6-285a-4f7e-8a9a-5db7ce23948d · outbound
This paper cites Pre-trained image processing transformer.
LAN: Learning to Adapt Noise for Image Denoising Pre-trained image processing transformer
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15efe3a0-db7e-44d9-b505-12b29216191e · outbound
This paper cites Hinet: Half instance normalization network for image restoration.
LAN: Learning to Adapt Noise for Image Denoising Hinet: Half instance normalization network for image restoration
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.548722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fae750da-f4a5-4e7c-86c1-e9da75ccafb4 · outbound
This paper cites Image denoising by sparse 3-d transform- domain collaborative filtering.
LAN: Learning to Adapt Noise for Image Denoising Image denoising by sparse 3-d transform- domain collaborative filtering
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.531379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c56d38d8-b478-40d2-827e-597678f4357a · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
LAN: Learning to Adapt Noise for Image Denoising An image is worth 16x16 words: Transformers for image recognition at scale
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.513447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 41e70490-df21-4fd0-af2c-eb684254de96 · outbound
This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.
LAN: Learning to Adapt Noise for Image Denoising Model- agnostic meta-learning for fast adaptation of deep networks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.495354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 44e6b9f3-81e3-4756-b621-96eafe42b0e3 · outbound
This paper cites Generative adversarial nets.
LAN: Learning to Adapt Noise for Image Denoising Generative adversarial nets
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b16b0fed-b1d5-46d1-b095-67afd1a0f495 · outbound
This paper cites Test-time Adaptation for Real Image Denoising via Meta-transfer Learning.
LAN: Learning to Adapt Noise for Image Denoising Test-time Adaptation for Real Image Denoising via Meta-transfer Learning
Reference 16
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cdd55c0a-2bd2-4093-9101-968d2ac07021 · outbound
This paper cites Neighbor2neighbor: Self-supervised de- noising from single noisy images.
LAN: Learning to Adapt Noise for Image Denoising Neighbor2neighbor: Self-supervised de- noising from single noisy images
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.344529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0e0d2751-db94-41c2-ba3e-eca3b6abaf8c · outbound
This paper cites Neighbor2neighbor: Self-supervised de- noising from single noisy images.
LAN: Learning to Adapt Noise for Image Denoising Neighbor2neighbor: Self-supervised de- noising from single noisy images
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.201947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ad95f00e-dba2-4b51-89b9-a4c5ee11f4ed · outbound
This paper cites Image-to-image translation with conditional adver- sarial networks.
LAN: Learning to Adapt Noise for Image Denoising Image-to-image translation with conditional adver- sarial networks
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c38fd3f0-2288-4477-9718-dc631717ebd7 · outbound
This paper cites C2n: Practical generative noise modeling for real-world denoising.
LAN: Learning to Adapt Noise for Image Denoising C2n: Practical generative noise modeling for real-world denoising
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.104896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e263e0fc-85b6-435e-9104-0c218eef7acc · outbound
This paper cites Adam: A Method for Stochastic Optimization.
LAN: Learning to Adapt Noise for Image Denoising Adam: A Method for Stochastic Optimization
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20547fe0-10c2-47be-a014-5f58b18b1295 · outbound
This paper cites Auto-Encoding Variational Bayes.
LAN: Learning to Adapt Noise for Image Denoising Auto-Encoding Variational Bayes
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 364cd0d4-1ccc-49a2-9caa-8cee9a2d2587 · outbound
This paper cites Modeling srgb camera noise with normal- izing flows.
LAN: Learning to Adapt Noise for Image Denoising Modeling srgb camera noise with normal- izing flows
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.085400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 330dd142-c74c-4419-83b2-e3cb25dc81ee · outbound
This paper cites Noise2void-learning denoising from single noisy images.
LAN: Learning to Adapt Noise for Image Denoising Noise2void-learning denoising from single noisy images
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.063822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a25cf717-8429-4503-8c97-57c2265ff90c · outbound
This paper cites Universal source-free domain adaptation.
LAN: Learning to Adapt Noise for Image Denoising Universal source-free domain adaptation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:31.043501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 56f4f814-2a05-49d9-a86a-47c1107f025a · outbound
This paper cites Diverse image-to-image translation via disentangled representations.
LAN: Learning to Adapt Noise for Image Denoising Diverse image-to-image translation via disentangled representations
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.986549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6f737e51-2cbc-44fc-a96f-c743d1dd7de4 · outbound
This paper cites Noisetransfer: Image noise generation with contrastive embeddings.
LAN: Learning to Adapt Noise for Image Denoising Noisetransfer: Image noise generation with contrastive embeddings
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.798640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 01158c49-effe-4fa1-a33c-cc239280e8ba · outbound
This paper cites Self-Supervised Fast Adaptation for Denoising via Meta-Learning.
LAN: Learning to Adapt Noise for Image Denoising Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T15:48:29.875557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6e00e87f-0568-4fda-8f7a-f15469997f7a · outbound
This paper cites Ap-bsn: Self-supervised denoising for real-world images via asym- metric pd and blind-spot network.
LAN: Learning to Adapt Noise for Image Denoising Ap-bsn: Self-supervised denoising for real-world images via asym- metric pd and blind-spot network
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.706387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6b844fec-a0dc-4cb3-ab91-227d92d7d6a5 · outbound
This paper cites Noise2noise: Learning image restoration without clean data.
LAN: Learning to Adapt Noise for Image Denoising Noise2noise: Learning image restoration without clean data
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.687355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b279cb14-c309-4cf9-84c3-cc0f9a9ba720 · outbound
This paper cites Swinir: Image restoration us- ing swin transformer.
LAN: Learning to Adapt Noise for Image Denoising Swinir: Image restoration us- ing swin transformer
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83218175-a242-4747-b38e-13dd065c062e · outbound
This paper cites Unsupervised image-to-image translation networks.
LAN: Learning to Adapt Noise for Image Denoising Unsupervised image-to-image translation networks
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.656608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 82295786-d90d-4b13-8fe1-ee1f62232cc0 · outbound
This paper cites Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency.
LAN: Learning to Adapt Noise for Image Denoising Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5623c847-3d10-482a-8824-45641dcbc987 · outbound
This paper cites Non-local sparse models for image restoration.
LAN: Learning to Adapt Noise for Image Denoising Non-local sparse models for image restoration
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.638056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 621dbf98-1a24-427e-8f37-6d1aea820019 · outbound
This paper cites Zero-shot noise2noise: Efficient image denoising without any data.
LAN: Learning to Adapt Noise for Image Denoising Zero-shot noise2noise: Efficient image denoising without any data
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0c1a30e7-0611-4e57-b9bf-7b6292553f39 · outbound
This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.
LAN: Learning to Adapt Noise for Image Denoising A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0af76fc3-64ee-488f-8375-6355051fc41b · outbound
This paper cites A holistic approach to cross-channel im- age noise modeling and its application to image denoising.
LAN: Learning to Adapt Noise for Image Denoising A holistic approach to cross-channel im- age noise modeling and its application to image denoising
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.577475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 049d7a8c-1c8c-4281-ba74-34057e905469 · outbound
This paper cites On First-Order Meta-Learning Algorithms.
LAN: Learning to Adapt Noise for Image Denoising On First-Order Meta-Learning Algorithms
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a5e4f31-33b8-4e6e-8a55-75ff5cf7c115 · outbound
This paper cites Benchmarking denoising al- gorithms with real photographs.
LAN: Learning to Adapt Noise for Image Denoising Benchmarking denoising al- gorithms with real photographs
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.557492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ff3cc57a-f7db-471b-90d0-d362a4f0c70b · outbound
This paper cites Self2self with dropout: Learning self-supervised denoising from single image.
LAN: Learning to Adapt Noise for Image Denoising Self2self with dropout: Learning self-supervised denoising from single image
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.538557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 874e47d6-fb49-4c10-8b5e-0b720e67186f · outbound
This paper cites Nonlinear total variation based noise removal algorithms.
LAN: Learning to Adapt Noise for Image Denoising Nonlinear total variation based noise removal algorithms
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.519484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9893ebc2-16bb-49d0-b64d-c43668b9fce4 · outbound
This paper cites Intriguing properties of neural networks.
LAN: Learning to Adapt Noise for Image Denoising Intriguing properties of neural networks
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98aad6a7-c699-4cf4-b98c-cfef060cc0ea · outbound
This paper cites Deep image prior.
LAN: Learning to Adapt Noise for Image Denoising Deep image prior
Reference 43
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f55e0452-7087-47bc-9e46-ed5384dd5ec0 · outbound
This paper cites Tent: Fully test-time adaptation by entropy minimization.
LAN: Learning to Adapt Noise for Image Denoising Tent: Fully test-time adaptation by entropy minimization
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.372210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5f5f7758-f867-42d4-9f2a-38adc97cd317 · outbound
This paper cites Noise2info: Noisy image to information of noise for self-supervised image denoising.
LAN: Learning to Adapt Noise for Image Denoising Noise2info: Noisy image to information of noise for self-supervised image denoising
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.296096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a24ffde9-5cbd-4b1d-b9a6-44c229aac41d · outbound
This paper cites Uformer: A gen- eral u-shaped transformer for image restoration.
LAN: Learning to Adapt Noise for Image Denoising Uformer: A gen- eral u-shaped transformer for image restoration
Reference 46
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6b9d09f-7878-4762-8e08-d98cfa011ba2 · outbound
This paper cites Image denoising and inpainting with deep neural networks.
LAN: Learning to Adapt Noise for Image Denoising Image denoising and inpainting with deep neural networks
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.265038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7ccdd61b-2d8f-4777-9fbc-126270da9083 · outbound
This paper cites Real-world Noisy Image Denoising: A New Benchmark.
LAN: Learning to Adapt Noise for Image Denoising Real-world Noisy Image Denoising: A New Benchmark
Reference 48
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d25eedb-9e2e-4320-a36b-9e361ad42b08 · outbound
This paper cites Generalized source-free domain adaptation.
LAN: Learning to Adapt Noise for Image Denoising Generalized source-free domain adaptation
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.246879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5bcd1c70-470a-44a6-ac0e-3bb4513b8a07 · outbound
This paper cites Dual adversarial network: Toward real-world noise removal and noise generation.
LAN: Learning to Adapt Noise for Image Denoising Dual adversarial network: Toward real-world noise removal and noise generation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.227441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 227ba1b7-db05-42ed-8b18-9c3d44016107 · outbound
This paper cites Cycleisp: Real image restoration via improved data synthesis.
LAN: Learning to Adapt Noise for Image Denoising Cycleisp: Real image restoration via improved data synthesis
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.207939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb1b6e7f-c727-4d6e-9dec-3d9e49346b7f · outbound
This paper cites Learning enriched features for real image restoration and enhancement.
LAN: Learning to Adapt Noise for Image Denoising Learning enriched features for real image restoration and enhancement
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.189920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation af1861da-a137-40a3-871d-c60ceaf73398 · outbound
This paper cites Restormer: Efficient transformer for high-resolution image restoration.
LAN: Learning to Adapt Noise for Image Denoising Restormer: Efficient transformer for high-resolution image restoration
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.171009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3fd74a42-3b64-48fb-879c-248eed067fa2 · outbound
This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.
LAN: Learning to Adapt Noise for Image Denoising Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.150573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9ad95125-225d-452d-acb7-c1378c746e9d · outbound
This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising.
LAN: Learning to Adapt Noise for Image Denoising Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:48:29.668603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f156d310-34ed-4f96-b654-a526f0180948 · outbound
This paper cites To- ward multimodal image-to-image translation.
LAN: Learning to Adapt Noise for Image Denoising To- ward multimodal image-to-image translation
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:48:30.118216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.