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Paper Citation Record · LEDGER

Survey on Single-Image Reflection Removal using Deep Learning Techniques

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2502.08836.

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

pith.paper-citation-record.v1
2502.08836 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:33:16.443338Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:57.561946Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:36:27.314659Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy42
  • unresolved1
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcabfca6-f4b3-4eac-a9c4-27d4246a32d2 · outbound

This paper cites Over the years, various techniques have been proposed to solve the SIRR problem.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Over the years, various techniques have been proposed to solve the SIRR problem

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d0db59f0-072c-4749-9b0d-4d075f692ec7 · outbound

This paper cites single image reflection removal.

Survey on Single-Image Reflection Removal using Deep Learning Techniques single image reflection removal

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5b19b1ff-c926-457f-91c0-f126dbda5bb5 · outbound

This paper cites To this end, researchers have proposed various hy- potheses.

Survey on Single-Image Reflection Removal using Deep Learning Techniques To this end, researchers have proposed various hy- potheses

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0495d5ad-9802-4bf7-90b1-86c994e48b76 · outbound

This paper cites The learning objective is introduced i n Section 4.4, with a comparative analysis of models in Table 1.

Survey on Single-Image Reflection Removal using Deep Learning Techniques The learning objective is introduced i n Section 4.4, with a comparative analysis of models in Table 1

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bfa3edbc-be4a-4efe-b707-5513e6500a78 · outbound

This paper cites Data Acquisition The datasets for SIRR are a critical aspect of developing effective deep learning models.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Data Acquisition The datasets for SIRR are a critical aspect of developing effective deep learning models

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 734a52ca-074f-49e7-8e72-61a8ce2e0e1b · outbound

This paper cites an unresolved cited work.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1a1f3c91-9b1d-4052-8782-cc8e38f095fc · outbound

This paper cites We first describe the methodology used for our bibliographic search.

Survey on Single-Image Reflection Removal using Deep Learning Techniques We first describe the methodology used for our bibliographic search

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c41a7739-b7c8-4360-9ced-395695638fbe · outbound

This paper cites Separating reflections from a single image using local features,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Separating reflections from a single image using local features,

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 2026-08-08T06:32:00.761636+00:00.

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Observation 213e7209-0899-4c99-8daf-3644d215ef3c · outbound

This paper cites Learning to perceive tr ansparency from the statistics of natural scenes,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Learning to perceive tr ansparency from the statistics of natural scenes,

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 959c6325-5443-4c24-9966-93f19a2e7547 · outbound

This paper cites User assisted separation of reflec tions from a single image using a sparsity prior,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques User assisted separation of reflec tions from a single image using a sparsity prior,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5a030c74-5667-469d-8b6e-072a88fcd873 · outbound

This paper cites Single image layer separation usin g relative smoothness,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single image layer separation usin g relative smoothness,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c50a3dd8-f81f-4135-aab4-038e7b8c9f6c · outbound

This paper cites Fast single i m- age reflection suppression via convex optimization,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Fast single i m- age reflection suppression via convex optimization,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b16300e7-bd82-49b3-81a9-4ab5dec21729 · outbound

This paper cites Depth of field guid ed reflection removal,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Depth of field guid ed reflection removal,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7b953698-193e-4f25-b9bb-3e56e97117f3 · outbound

This paper cites Reflec tion re- moval using ghosting cues,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Reflec tion re- moval using ghosting cues,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:17.103076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 40d1060b-2875-458f-b2f2-818f54c2a0ad · outbound

This paper cites Robust single image reflection removal against adversaria l attacks,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Robust single image reflection removal against adversaria l attacks,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b2780683-881b-4fa5-a8e2-d8d278261e88 · outbound

This paper cites Single image reflec- tion removal exploiting misaligned training data and netwo rk enhance- ments,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single image reflec- tion removal exploiting misaligned training data and netwo rk enhance- ments,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9f93129b-bc3c-446b-b8a9-cb31b31803e3 · outbound

This paper cites Benchm ark- ing single-image reflection removal algorithms,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Benchm ark- ing single-image reflection removal algorithms,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9dc64224-7339-4d6a-9326-97a7960edd06 · outbound

This paper cites Be nch- marking single-image reflection removal algorithms,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Be nch- marking single-image reflection removal algorithms,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ed10ea88-80a1-41c0-8de8-8876733323bb · outbound

This paper cites Single-image reflection removal using deep lear ning: a systematic review,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single-image reflection removal using deep lear ning: a systematic review,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0ba29870-beaf-4276-bb4e-94929b7af2ea · outbound

This paper cites A generic de ep archi- tecture for single image reflection removal and image smooth ing,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques A generic de ep archi- tecture for single image reflection removal and image smooth ing,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation da2a9607-6ee1-469e-9de9-b41cd4d0b631 · outbound

This paper cites Single image reflection sep aration with perceptual losses,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single image reflection sep aration with perceptual losses,

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9dda03a5-09cd-4b13-8f5f-087d20263502 · outbound

This paper cites Trash or treasure? an interactive dual -stream strategy for single image reflection separation,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Trash or treasure? an interactive dual -stream strategy for single image reflection separation,

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 87eba507-573f-4653-8c15-def7d63cc415 · outbound

This paper cites Single image reflection separation via component synergy,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single image reflection separation via component synergy,

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation faed0d9e-40cf-4794-94db-e7a74c3a9be7 · outbound

This paper cites Reflection scene separation from a single image,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Reflection scene separation from a single image,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.781605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3b461e70-15d1-4734-8543-60abe0cd8040 · outbound

This paper cites Two-stage s ingle image reflection removal with reflection-aware guidance,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Two-stage s ingle image reflection removal with reflection-aware guidance,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.766954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3e8de497-c5db-48b0-bfa4-5a2ed573b3c9 · outbound

This paper cites Crrn: M ulti- scale guided concurrent reflection removal network,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Crrn: M ulti- scale guided concurrent reflection removal network,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 896c63d8-15cc-420c-97fe-30a0df1bd12f · outbound

This paper cites Seeing deeply and bi direction- ally: A deep learning approach for single image reflection re moval,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Seeing deeply and bi direction- ally: A deep learning approach for single image reflection re moval,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.736527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3d39e4d5-65b3-4069-8134-44f819f6d3ad · outbound

This paper cites Single i mage reflection removal through cascaded refinement,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single i mage reflection removal through cascaded refinement,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.721424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 13a25da3-45cb-4f4a-90b6-93b1d3abc528 · outbound

This paper cites Single im age reflection removal beyond linearity,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single im age reflection removal beyond linearity,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.706574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 73b9508f-05b9-4949-8d5e-9923baa7d69e · outbound

This paper cites Locat ion- aware single image reflection removal,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Locat ion- aware single image reflection removal,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.691991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.383635Z digest=sha256:90cba2d4a590e3b43e07664d54f1f8c55cece017d64685d2bd081075778a0869

Observation df47996f-ab0e-4735-94e2-945f83408efc · outbound

This paper cites Single image reflection removal with absorption effect,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single image reflection removal with absorption effect,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.677057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d7784a09-a980-44c0-b4d9-43503127bedd · outbound

This paper cites Co rrn: Cooperative reflection removal network,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Co rrn: Cooperative reflection removal network,

Reference 32

Resolution
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raw_fallback, observed 2026-08-07T23:33:16.662072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.392196Z digest=sha256:23c3a6f9b2c6133249b42b4d136eb96566b3aae014a34c3a5fb609aa10e01d23

Observation 68619fa6-22c6-4ab4-b65c-8b758bafc10a · outbound

This paper cites Deep -masking generative network: A unified framework for background rest oration from superimposed images,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Deep -masking generative network: A unified framework for background rest oration from superimposed images,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.646020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.396968Z digest=sha256:a3c1085cb6e5e04f51e5d5e24b3633b59b9ec0009155d9f0cc8dd9bc008cce2a

Observation ad65e00e-8d3f-4a5b-98fe-99b1e8e7ba2f · outbound

This paper cites Single image reflection re moval with physically-based training images,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single image reflection re moval with physically-based training images,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.630157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.401408Z digest=sha256:13ad58bf578c287bb003bcba3c0066c7e39c8a08992e745769f55c594a727454

Observation 1170ac48-7ade-42f9-b26e-f86146781d3d · outbound

This paper cites Revisiting single image reflection removal in the wil d,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Revisiting single image reflection removal in the wil d,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.613620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.406001Z digest=sha256:c982e25ce99fa239c655f61f96ca98e39fdd2a6b20042265f020a260c763055e

Observation 23184ddf-f72f-4cc7-8145-f3c0ed81bbc5 · outbound

This paper cites Languag e-guided image reflection separation,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Languag e-guided image reflection separation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.597264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.410760Z digest=sha256:181d6ca047a6f7fa613a7e63382fcd740d58ba4edac6e98bebcb892f83c41ac5

Observation 11c90b41-ecf0-41ce-9569-22d0572d177e · outbound

This paper cites Single i mage re- flection removal with edge guidance, reflection classifier, a nd recurrent decomposition,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Single i mage re- flection removal with edge guidance, reflection classifier, a nd recurrent decomposition,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.581332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.415369Z digest=sha256:d4e4bfef3663e3ee726ce79d2f78a561b6341943e383ed0c4cd3676eea32bf03

Observation 5a68115d-99e9-41cb-bda3-e1d45141cf5f · outbound

This paper cites V -desirr: V ery fast deep embedded single image reflection removal,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques V -desirr: V ery fast deep embedded single image reflection removal,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.564763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.419753Z digest=sha256:6fe504364123c12f20b6ca1a555341c2270712131424647dde09841b5a485635

Observation 8d722999-7c66-437c-b1a7-03dd54140456 · outbound

This paper cites Perceptual losse s for real-time style transfer and super-resolution,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Perceptual losse s for real-time style transfer and super-resolution,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.546993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.424385Z digest=sha256:4186d620fba805d7909b9e5d5706b4dc948c692503e04139a86dea87f1ace7db

Observation 15977f5a-e690-4a1c-86bd-51a912746bba · outbound

This paper cites Generative adversar ial nets,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Generative adversar ial nets,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.531189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.428776Z digest=sha256:87184a5f5f7478a25834561f32e5832cc18406f50f21c0e4d00aefa20cdee02d

Observation e5c9baa8-e9ea-44d5-9311-02d661f39da7 · outbound

This paper cites A categorized reflection removal dataset with diverse real-w orld scenes,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques A categorized reflection removal dataset with diverse real-w orld scenes,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.515760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.433779Z digest=sha256:4f960e59e68dee5f01b5f93f809167c8ae47386482ecbab0c5e4804670e00830

Observation 57f510b6-4356-4f3d-9ba0-9f15400ff22b · outbound

This paper cites Benchmarking single-image reflection removal algorithms ,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Benchmarking single-image reflection removal algorithms ,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.500347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.438601Z digest=sha256:2f262ca1079d128a069fbe8ee5eee6b1a54c531f6497cc9c348f79f477844d0a

Observation 39dd09b5-1724-4c0a-81a8-650c0a2d713f · outbound

This paper cites Backg round scene recovery from an image looking through colored glass,.

Survey on Single-Image Reflection Removal using Deep Learning Techniques Backg round scene recovery from an image looking through colored glass,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:33:16.483955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:33:16.443338Z digest=sha256:af23dd4dfca636e97404ec143ddb6b5931bf268adf31842134a5a400dda38dba

Pith citing papers

Observation 90a3d25d-c8f3-45ea-bcb9-4a66c7e3fb13 · inbound

OpenRR-1k: A Scalable Dataset for Real-World Reflection Removal cites this paper.

OpenRR-1k: A Scalable Dataset for Real-World Reflection Removal Survey on Single-Image Reflection Removal using Deep Learning Techniques

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:57.561946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:57.561946Z digest=sha256:f021016db2d94e85f239de44892db187261c87c4a3894574aac494f89529ce45

Observation f1dfb44f-9fe8-4190-a375-65e35b8f3070 · inbound

Reflection Separation from a Single Image via Joint Latent Diffusion cites this paper.

Reflection Separation from a Single Image via Joint Latent Diffusion Survey on Single-Image Reflection Removal using Deep Learning Techniques

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:36:27.316183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T10:47:22.111357Z digest=sha256:9d455e79fd282d5ee245c1fc1d75c5f492c2def4a47362347b53e18274ea24fe