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Research map / Video / Video segmentation and tracking

Spike and neuromorphic deblurring

Removes motion blur and noise using spike streams and neuromorphic event data.

57 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Video segmentation and tracking, keyword cluster “interpolation · flow · event”

State History Tried Checklist Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

23 papers in 2023–24 and 15 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic shrank, from 5.2% to 2.8%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 1162017: 4172018: 2182019: 3192020: 1202021: 2212022: 6222023: 6232024: 17242025: 3252026: 1226

Most cited paper of each year

Earliest papers here

What has been tried

43 papers here report 460 measured changes (a component added, removed or swapped, compared with a baseline): helped 78%, no clear effect 4%, hurt 17%, mixed 2%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
increase dynamic-code lengthJockey · PSNRFor static length 30: 28.68 -> 30.87 -> 32.16 -> 32.56HelpedDS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes (CVPR 2024 · 23 citations)
Add common-concern map m_co while retaining m_diSUSTech1K · R-186.5 -> 87.4HelpedExploring More from Multiple Gait Modalities for Human Identification (AAAI 2025 · 21 citations)
Add the proposed flow network instead of SPyNetDeepHDRVideo dynamic scenes · PSNRT44.82 -> 45.10HelpedHDRFlow: Real-Time HDR Video Reconstruction with Large Motions (CVPR 2024 · 17 citations)
add instance-specific optimizationCardiac · PSNR33.57 ± 0.275 -> 33.59 ± 0.268HelpedData-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images (CVPR 2024 · 14 citations)
Add MEDM to the baselineMMD test · Accuracy0.857519 -> 0.858176HelpedEffective Video Mirror Detection with Inconsistent Motion Cues (CVPR 2024 · 12 citations)
add InterF, IntraF, and scene lossPHM Δt = 10 · AEPE0.986 -> 0.640HelpedOptical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion (AAAI 2024 · 9 citations)
Add automatic keypoint selectionREDS · MSE0.107 ± 0.001 -> 0.103 ± 0.001HelpedDeblurSR: Event-Based Motion Deblurring under the Spiking Representation (AAAI 2024 · 8 citations)
add event streamsSynHeavy25 · PSNR31.85 -> 33.94HelpedNeuromorphic Event Signal-Driven Network for Video De-raining (AAAI 2024 · 7 citations)
use frame bunches instead of a single Is and ImSynthetic data · PSNR19.95 -> 24.06HelpedTowards HDR and HFR Video from Rolling-Mixed-Bit Spikings (CVPR 2024 · 6 citations)
Add MTDC moduleS-CIF · accuracy55.1% -> 57.6%HelpedRecognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera (AAAI 2024 · 5 citations)
Add refinement networkBasketball · PSNR24.01 -> 27.23HelpedEVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling (CVPR 2024 · 5 citations)
add the extractorDAIR-V2X test, 0 ms delay · mAP@3D IoU0.331.72 -> 33.40HelpedBEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays (AAAI 2025 · 4 citations)

What reviewers will expect

Datasets and baselines named in the 20 papers of this approach from 2024–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • REDS · 2 of 20 papers
  • Vimeo90K · 2 of 20 papers

Baselines

  • REFID · 3 of 20 papers
  • EDI · 2 of 20 papers
  • TFP · 2 of 20 papers
  • EvUnroll · 2 of 20 papers
  • HINet · 2 of 20 papers
  • NAFNet · 2 of 20 papers
  • EFNet · 2 of 20 papers
  • TFI · 2 of 20 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 38 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 36 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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