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Paper Citation Record · LEDGER

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring

As of 10 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2512.04390.

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

pith.paper-citation-record.v1
2512.04390 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:40:04.392498Z

measured 71 of 71 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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71 of 71 outbound references displayed

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Outbound references

Observation 65a91b30-9ec7-44f0-8bdf-d2e6bdbe1ada · outbound

This paper cites Self-supervised deep blind video super-resolution.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 46(7):4641–4653, 2024.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Self-supervised deep blind video super-resolution.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 46(7):4641–4653, 2024

Reference 1

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Observation b31df143-dbd0-43ce-a94c-6bf55e633a95 · outbound

This paper cites Video Super-Resolution Transformer.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Video Super-Resolution Transformer

Reference 2

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Observation 0d5fa01a-fd88-4c42-9801-6537f8c77456 · outbound

This paper cites Basicvsr: The search for essential com- ponents in video super-resolution and beyond.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Basicvsr: The search for essential com- ponents in video super-resolution and beyond

Reference 3

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Observation 1f82f0a3-6c30-4e70-87a2-7e02cfafa5c9 · outbound

This paper cites Understanding deformable alignment in video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Understanding deformable alignment in video super-resolution

Reference 4

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Observation 2e061703-5d70-49c8-b978-9760965a6de8 · outbound

This paper cites Basicvsr++: Improving video super- resolution with enhanced propagation and alignment.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Basicvsr++: Improving video super- resolution with enhanced propagation and alignment

Reference 5

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Observation a3d98665-5cc4-448e-9cef-6aa0742c4572 · outbound

This paper cites Learning to see in the dark.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Learning to see in the dark

Reference 6

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Observation 207777bf-255e-4b92-8d59-e6df7df99f6d · outbound

This paper cites Activating more pixels in image super- resolution transformer.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Activating more pixels in image super- resolution transformer

Reference 7

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Observation 5118b32b-d8e2-436b-a3dd-89f1f445f293 · outbound

This paper cites Stable long-term recurrent video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Stable long-term recurrent video super-resolution

Reference 8

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Observation b049162e-2842-41fb-83e9-4072766565c7 · outbound

This paper cites Learning temporal coherence via self- supervision for gan-based video generation.ACM Transac- tions on Graphics (TOG), 39(4):75–1, 2020.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Learning temporal coherence via self- supervision for gan-based video generation.ACM Transac- tions on Graphics (TOG), 39(4):75–1, 2020

Reference 9

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Observation 0854ce65-8e97-46bb-8e38-50be67c163bf · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

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Observation 98d40058-86e0-4479-85cf-398550c02f92 · outbound

This paper cites High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring.Neurocomputing, 489:128–138, 2022.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring.Neurocomputing, 489:128–138, 2022

Reference 11

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Observation 414981eb-f5ba-4d14-befc-103a211a7f39 · outbound

This paper cites Recurrent back-projection network for video super- resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Recurrent back-projection network for video super- resolution

Reference 12

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Observation 27e082b6-a7cb-49f9-9d58-8b7951769614 · outbound

This paper cites Deep residual learning for image recognition.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Deep residual learning for image recognition

Reference 13

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Observation 34654b80-af13-4220-b8de-12fcc2ca3fbd · outbound

This paper cites Many-to-many splatting for efficient video frame interpola- tion.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Many-to-many splatting for efficient video frame interpola- tion

Reference 14

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Observation ca38aea2-7d0c-4f1c-b351-e53a8ce8c680 · outbound

This paper cites Spatial transformer networks.Advances in Neural Informa- tion Processing Systems, 28, 2015.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Spatial transformer networks.Advances in Neural Informa- tion Processing Systems, 28, 2015

Reference 15

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Observation c549914d-de8c-4138-a215-d7c31802f81d · outbound

This paper cites Dynamic filter networks.Advances in Neural Infor- mation Processing Systems, 29, 2016.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Dynamic filter networks.Advances in Neural Infor- mation Processing Systems, 29, 2016

Reference 16

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Observation f19ce066-a22b-4657-83f7-01832590a375 · outbound

This paper cites Deep video super-resolution network us- ing dynamic upsampling filters without explicit motion com- pensation.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Deep video super-resolution network us- ing dynamic upsampling filters without explicit motion com- pensation

Reference 17

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Observation 6bafa009-2921-4bf9-ba7d-7dae09ee6f97 · outbound

This paper cites Event-enhanced blurry video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Event-enhanced blurry video super-resolution

Reference 18

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Observation f80c3221-8df0-4fff-81f7-55130f1fcc73 · outbound

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

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Musiq: Multi-scale image quality transformer

Reference 19

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Observation 4ff38343-6311-41ee-879f-3b6e17823417 · outbound

This paper cites Supervised contrastive learning.Advances in Neural Information Processing Systems, 33:18661–18673,.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Supervised contrastive learning.Advances in Neural Information Processing Systems, 33:18661–18673,

Reference 20

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Observation 652db108-f64d-4898-9028-32b84cca6fec · outbound

This paper cites Event-guided deblurring of unknown exposure time videos.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Event-guided deblurring of unknown exposure time videos

Reference 21

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Observation dff8a30f-650e-45d7-9212-7fe5fcf76482 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Adam: A Method for Stochastic Optimization

Reference 22

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Observation 62a947ef-c677-4626-9de9-9f0395696d21 · outbound

This paper cites Efficient frequency domain-based trans- formers for high-quality image deblurring.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Efficient frequency domain-based trans- formers for high-quality image deblurring

Reference 23

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Observation c9c5a51a-7d8b-4b86-8c7a-081c135d9c7d · outbound

This paper cites Dy- navsr: Dynamic adaptive blind video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Dy- navsr: Dynamic adaptive blind video super-resolution

Reference 24

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Observation 0bb90fd6-63f2-4361-9b31-819dd9d91f62 · outbound

This paper cites A simple baseline for video restoration with grouped spatial- temporal shift.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring A simple baseline for video restoration with grouped spatial- temporal shift

Reference 25

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Observation 42e44dd8-9b58-444e-a706-1a61eaa2e7b0 · outbound

This paper cites Mucan: Multi-correspondence aggregation network for video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Mucan: Multi-correspondence aggregation network for video super-resolution

Reference 26

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Observation af048494-c575-4c5d-bb33-39fac17471d9 · outbound

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

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Swinir: Image restoration us- ing swin transformer

Reference 27

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Observation 1e74d266-ee36-4480-8d06-2ee9de5f7a52 · outbound

This paper cites VRT: A Video Restoration Transformer.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring VRT: A Video Restoration Transformer

Reference 28

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Observation e9027a6d-5870-4eeb-946c-0616ff362812 · outbound

This paper cites Recurrent video restoration trans- former with guided deformable attention.Advances in Neu- ral Information Processing Systems, 35:378–393, 2022.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Recurrent video restoration trans- former with guided deformable attention.Advances in Neu- ral Information Processing Systems, 35:378–393, 2022

Reference 29

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Observation 96380282-0731-4382-9f93-46f816ca2faf · outbound

This paper cites FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution

Reference 30

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Observation 5b5416df-5b45-4e17-8227-bb2416ba8ed0 · outbound

This paper cites Learning trajectory-aware transformer for video super- resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Learning trajectory-aware transformer for video super- resolution

Reference 31

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Observation 9cf2b538-51ce-42c4-b004-60cd212acdfb · outbound

This paper cites completely blind.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring completely blind

Reference 32

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Observation a600ced1-ba18-4512-ba90-d25fd287d32c · outbound

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

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 33

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Observation 515a47b6-8216-497e-b895-b0f79cf5503a · outbound

This paper cites Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study

Reference 34

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Observation 841d793d-8208-486c-813a-4bf7c6b3246c · outbound

This paper cites Motion deblurring in the wild.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Motion deblurring in the wild

Reference 35

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Observation 80184ddb-4dc8-4d31-a371-78fdf06bed4f · outbound

This paper cites Demfi: deep joint deblur- ring and multi-frame interpolation with flow-guided attentive correlation and recursive boosting.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Demfi: deep joint deblur- ring and multi-frame interpolation with flow-guided attentive correlation and recursive boosting

Reference 36

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source=pdf_text observed=2026-08-03T18:40:00.344432Z digest=sha256:f4752917ab9ae3f2c786b2c0bfc628629e1a88d7f07ebe937d051924a7e2a987

Observation 1e6310c4-5f40-40f0-90e4-d99d676f3a43 · outbound

This paper cites Deep blind video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Deep blind video super-resolution

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source=pdf_text observed=2026-08-03T18:40:00.421625Z digest=sha256:af8d0ca7c52d8a2d5fcc4c90e201e113e2c60567d80dae08a774ebdd9128ff31

Observation 138e8f87-e7f7-4861-9a8c-0b04e036c6d5 · outbound

This paper cites Joint video multi-frame interpola- tion and deblurring under unknown exposure time.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Joint video multi-frame interpola- tion and deblurring under unknown exposure time

Reference 38

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source=pdf_text observed=2026-08-03T18:40:00.541530Z digest=sha256:883bb976c9544eca34959816328780f32bdac56eae2265bfa6b55bff13d5ef48

Observation a59d140e-c519-45d2-ade2-76889216722c · outbound

This paper cites Xvfi: extreme video frame interpolation.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Xvfi: extreme video frame interpolation

Reference 39

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source=pdf_text observed=2026-08-03T18:40:00.703757Z digest=sha256:8c60cb702326a3e5b440486eab4613d20acd6c5819f6124faa5ebc3400bde591

Observation efecedc3-19f6-4304-b930-681cd31a687d · outbound

This paper cites Deep video deblurring for hand-held cameras.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Deep video deblurring for hand-held cameras

Reference 40

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source=pdf_text observed=2026-08-03T18:40:00.807860Z digest=sha256:2779b941adb7029f45a56b9856b1fe96ea71b1c128a118dad996184a2b49bb7f

Observation 7a75cd9b-5500-40f3-a716-27ccd105bdaa · outbound

This paper cites Detail-revealing deep video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Detail-revealing deep video super-resolution

Reference 41

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no resolver link, observed 2026-08-03T18:40:00.911700Z

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source=pdf_text observed=2026-08-03T18:40:00.911700Z digest=sha256:5e7693f2513d5c338782e086b4970d2c4f54a4ddc030fbb86d6dbbe972ca6466

Observation 8bfca1a6-689f-4118-a0b0-36eb21e3b46b · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Raft: Recurrent all-pairs field transforms for optical flow

Reference 42

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source=pdf_text observed=2026-08-03T18:40:01.007534Z digest=sha256:65aaf4dda3a038fc858c193c96f4e54ee6a0355a9448e7c634958804abe3f03d

Observation 7bbe6adb-7930-48c5-a1b0-0c55fc0f74cb · outbound

This paper cites Tdan: Temporally-deformable alignment network for video super-resolution.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Tdan: Temporally-deformable alignment network for video super-resolution

Reference 43

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source=pdf_text observed=2026-08-03T18:40:01.136090Z digest=sha256:d7a4041ee79bce3bbdae1da5e1abe132009f8e6e2685e8dd0957b3e38b5597ab

Observation 291de57f-746d-4f09-b5c7-21183573615d · outbound

This paper cites Visualizing data using t-sne.Journal of Machine Learning Research, 9 (11), 2008.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Visualizing data using t-sne.Journal of Machine Learning Research, 9 (11), 2008

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source=pdf_text observed=2026-08-03T18:40:01.226531Z digest=sha256:0eaca71c7f8c4bfa2569414e06ccce14a8fa59a502d94e2f44523cb890be697f

Observation d7def4bf-13ca-4577-98fa-a1dee181ec39 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 45

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source=pdf_text observed=2026-08-03T18:40:01.315213Z digest=sha256:3741e1d5517d1fab2f856af5f4cf7273af9edb768d0a12297cdce06e98c61b71

Observation e541bcd8-c500-4904-b990-da3d5c47a1d6 · outbound

This paper cites Deep video super-resolution using hr optical flow estimation.IEEE Transactions on Image Pro- cessing, 29:4323–4336, 2020.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Deep video super-resolution using hr optical flow estimation.IEEE Transactions on Image Pro- cessing, 29:4323–4336, 2020

Reference 46

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source=pdf_text observed=2026-08-03T18:40:01.439613Z digest=sha256:6b92c01ee2bbf14d96e284119ea6918ae6383c81223537e46d618fc9ae964c00

Observation 1de2299a-b9b7-416b-bbd4-4beccfd0f856 · outbound

This paper cites Recovering realistic texture in image super-resolution by deep spatial feature transform.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Recovering realistic texture in image super-resolution by deep spatial feature transform

Reference 47

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:40:01.500914Z digest=sha256:4fda20a58a6455ff1d7eed809614792fe35f90cffa919a5f0912b569088f156d

Observation e76c51dc-495c-4872-9a67-3dbf9b0242eb · outbound

This paper cites Recovering realistic texture in image super-resolution by deep spatial feature transform.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Recovering realistic texture in image super-resolution by deep spatial feature transform

Reference 48

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no resolver link, observed 2026-08-03T18:40:01.566092Z

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source=pdf_text observed=2026-08-03T18:40:01.566092Z digest=sha256:2d41fe7cc85dd0b2a2e9c0e91ae2837b0fbb6e2b20f7251639fe57c0143368cb

Observation 840d5462-8033-4864-bc3e-d1a443e9de00 · outbound

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

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Esrgan: En- hanced super-resolution generative adversarial networks

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:40:01.660208Z digest=sha256:9ac7fe85ecdf5aa6390b7e612c2f5d36ab9417410c07f36864020ec56f964477

Observation 667c785c-8f7c-495f-a2aa-e44c65c09f48 · outbound

This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Edvr: Video restoration with enhanced deformable convolutional networks

Reference 50

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no resolver link, observed 2026-08-03T18:40:01.762515Z

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source=pdf_text observed=2026-08-03T18:40:01.762515Z digest=sha256:12cf868a5cdde3fc19184cd0bf4ad0eb76b71097a83a6f9281d789ccaac88980

Observation fc3484b8-c9bf-4e5b-afab-1d34adcc500f · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Image quality assessment: from error visibility to structural similarity.IEEE Transactions on Image Process- ing, 13(4):600–612, 2004

Reference 51

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source=pdf_text observed=2026-08-03T18:40:01.893834Z digest=sha256:82009bc4108a6f188f91894ba402db064645749f1e5327b813c08fb6b5cb2f53

Observation d2aed5e6-3d61-4bc0-8c82-01c5f1dfaecc · outbound

This paper cites Event- based blurry frame interpolation under blind exposure.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Event- based blurry frame interpolation under blind exposure

Reference 52

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no resolver link, observed 2026-08-03T18:40:02.019221Z

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source=pdf_text observed=2026-08-03T18:40:02.019221Z digest=sha256:d6a5c5272a7a4e7e595f4c11bbff40528fd6c617adf3251d851be6d7bdf4f382

Observation 66b80c7f-3e54-4e9e-b45b-e44f77e63cde · outbound

This paper cites Enhancing video super-resolution via im- plicit resampling-based alignment.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Enhancing video super-resolution via im- plicit resampling-based alignment

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source=pdf_text observed=2026-08-03T18:40:02.132790Z digest=sha256:4abac2a4c6d93a9f1fbe6161efa72932a0675cc00d98e1abf690d705571c11f9

Observation d9b6be9d-c4fa-4b56-aa3c-04fb5c1a9231 · outbound

This paper cites Fma- net: Flow-guided dynamic filtering and iterative feature re- finement with multi-attention for joint video super-resolution and deblurring.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Fma- net: Flow-guided dynamic filtering and iterative feature re- finement with multi-attention for joint video super-resolution and deblurring

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source=pdf_text observed=2026-08-03T18:40:02.246818Z digest=sha256:e60a39e959d55568f02c21b3cd5f75dd3156f9772a7621ecdb6955df0c85387c

Observation 402a1f98-3028-44c4-b35f-83fb35832f2d · outbound

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

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Restormer: Efficient transformer for high-resolution image restoration

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source=pdf_text observed=2026-08-03T18:40:02.491009Z digest=sha256:4087bec0ef715ff93467102dffee263606c69ab6c1720ef6c2808ce0633b5e20

Observation 298a58bc-737f-4a4b-9005-9c5aa3440730 · outbound

This paper cites Extracting motion and ap- pearance via inter-frame attention for efficient video frame interpolation.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Extracting motion and ap- pearance via inter-frame attention for efficient video frame interpolation

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source=pdf_text observed=2026-08-03T18:40:02.568404Z digest=sha256:6411caa1e6743f91cf910a532e404d72f16d68358f8cc3d53b4dce409a2a846b

Observation 55f27429-eabe-47ce-ad07-32a5d3c6bd2b · outbound

This paper cites Spatio- temporal deformable attention network for video deblurring.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Spatio- temporal deformable attention network for video deblurring

Reference 57

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source=pdf_text observed=2026-08-03T18:40:02.688526Z digest=sha256:4058c7b386952915ffe9f9cc02e3b5de9d061196b336c09fd2381f332da652e0

Observation 85aff4ed-08e5-4b7d-88f2-6b10c9d37b26 · outbound

This paper cites Blur-aware spatio-temporal sparse transformer for video deblurring.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Blur-aware spatio-temporal sparse transformer for video deblurring

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source=pdf_text observed=2026-08-03T18:40:02.835952Z digest=sha256:5390a25db51597fe8beb23443347ada95a5a6712819a7ab5dc2623100b3803ab

Observation 01a77d0e-1bf3-4aaa-b13f-2a696d9a2c35 · outbound

This paper cites Adversarial spatio-temporal learning for video deblurring.IEEE Transactions on Image Processing, 28(1):291–301, 2018.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Adversarial spatio-temporal learning for video deblurring.IEEE Transactions on Image Processing, 28(1):291–301, 2018

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source=pdf_text observed=2026-08-03T18:40:02.920718Z digest=sha256:9a332a9674e574fd805abe20580981d0760ba26e82b4b96aee4fba7323782594

Observation 43c689d3-daa5-4042-be9f-d5a67af9ba29 · outbound

This paper cites Video frame interpolation without temporal priors.Advances in Neural Information Processing Systems, 33:13308–13318,.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Video frame interpolation without temporal priors.Advances in Neural Information Processing Systems, 33:13308–13318,

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source=pdf_text observed=2026-08-03T18:40:03.043881Z digest=sha256:061f3e2b57c0476013a58b4abb7d70bcfab633fd638410b3f8da0439e5a9b49e

Observation b54f3a61-2de3-443b-b217-2f3e9af2fe34 · outbound

This paper cites Efficient spatio-temporal recurrent neural network for video deblurring.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Efficient spatio-temporal recurrent neural network for video deblurring

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source=pdf_text observed=2026-08-03T18:40:03.162226Z digest=sha256:8b529eb4dbf622732d61e8b4fad8cf3c013497e647eda11263e75343ee3efbfd

Observation 399c0bc2-c0db-4acc-be05-3c35179f5c92 · outbound

This paper cites Davanet: Stereo deblur- ring with view aggregation.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Davanet: Stereo deblur- ring with view aggregation

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source=pdf_text observed=2026-08-03T18:40:03.309972Z digest=sha256:b60c36ec679e038c472590dc2713712210c57e4b9788105fada0197656c614e8

Observation 944bdc5c-b5bd-41d7-9b23-ad280ce0e87a · outbound

This paper cites Led- net: Joint low-light enhancement and deblurring in the dark.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Led- net: Joint low-light enhancement and deblurring in the dark

Reference 63

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source=pdf_text observed=2026-08-03T18:40:03.427984Z digest=sha256:8cbdb05c4842c4a8c2adc1ac252d9ccf5ee090fb92c06c7dd5d654deabacd1cb

Observation 0d15a9dc-79bf-4e97-b68a-009499a96064 · outbound

This paper cites Deep recurrent neural net- work with multi-scale bi-directional propagation for video deblurring.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Deep recurrent neural net- work with multi-scale bi-directional propagation for video deblurring

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source=pdf_text observed=2026-08-03T18:40:03.574430Z digest=sha256:5289f65f1c3c666d6c6dfc4785bad437da7154dc76e8200251367897c9474aa0

Observation 68c36be2-1676-40a7-a8a2-88080e45b426 · outbound

This paper cites Detailed Problem Formulation As mentioned in Sec.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Detailed Problem Formulation As mentioned in Sec

Reference 67

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source=pdf_text observed=2026-08-03T18:40:03.729599Z digest=sha256:b32a437f0b5e13f7a3c272776602fb15a8c423d9e799bd99cc7cc709ec033bd6

Observation e8d5589e-480c-480c-816c-be1d18387a97 · outbound

This paper cites 4 of the main paper.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring 4 of the main paper

Reference 68

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source=pdf_text observed=2026-08-03T18:40:03.956813Z digest=sha256:20b8c5306d85e5792491df1d894503f1c3cc53b683c97dbdecc17cee696941db

Observation 5ef5feb2-e292-4281-89c3-e565528f202d · outbound

This paper cites 5 of the main paper.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring 5 of the main paper

Reference 69

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source=pdf_text observed=2026-08-03T18:40:04.157022Z digest=sha256:83667e5280725c7beaf0aee34257d42c4c836f5708ede0c41a49175c9e462c66

Observation 2b019443-cb90-4525-9595-fe0b031e2ecf · outbound

This paper cites 1(a) and Fig.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring 1(a) and Fig

Reference 70

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source=pdf_text observed=2026-08-03T18:40:04.299774Z digest=sha256:93530c35ab837e9d3784cf6dcc479569cc70a0019c7cd90d6edfd0fc1e9cba82

Observation ca750677-d560-4000-ab07-d835df7fbf13 · outbound

This paper cites an unresolved cited work.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-03T18:40:04.392498Z digest=sha256:223180d1a466fb83dc9b4728270287aaae31a3969e825a41df505810f70b81f2

Observation c2607aed-8e1f-4fff-b144-ec7fa1826ed0 · outbound

This paper cites an unresolved cited work.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Unresolved cited work

Reference 538

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no resolver link, observed 2026-08-03T18:39:59.556049Z

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source=pdf_text observed=2026-08-03T18:39:59.556049Z digest=sha256:7ca6108dedb66648d3d0b44df4bb16b6662090c3e24c2f0d0e00d3e590da38c5

Observation d5212b2e-ebb1-4c79-af9d-726c1a2f6463 · outbound

This paper cites an unresolved cited work.

FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring Unresolved cited work

Reference 2024

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source=pdf_text observed=2026-08-03T18:40:02.357090Z digest=sha256:11c3e0626a12610452b5b143f97f9d080aa79b870234a6bc66effe8a6ee186e9

Pith citing papers

No inbound Pith citation observations are available.