AI Paper Atlas

Research map / 3D vision / Depth and stereo

Spike and event camera reconstruction

Reconstructs high-speed scenes from spike, single-photon and neuromorphic sensor data.

50 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Depth and stereo, keyword cluster “light · imaging · illumination”

State History Tried Baselines 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.

10 papers in 2023–24 and 13 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic held steady, from 3.3% to 3.2%.

Open questions the data points to

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: 3172018: 0182019: 4192020: 5202021: 8212022: 6222023: 3232024: 7242025: 7252026: 626

Most cited paper of each year

Earliest papers here

What has been tried

41 papers here report 339 measured changes (a component added, removed or swapped, compared with a baseline): helped 78%, no clear effect 1%, hurt 17%, mixed 4%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
replace binary spike input with multi-order DSFT fusionREDS-SCIR · PSNR38.44 -> 39.76HelpedBoosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations (CVPR 2024 · 16 citations)
add the multi-scale 3D encoder in CSRDSPK, GN σ = 15 · PSNR30.99dB -> 32.01dBHelpedJoint Demosaicing and Denoising for Spike Camera (AAAI 2024 · 13 citations)
Spatiotemporal chunk change detection (Sec 4.2) instead of other generalized designsRate-distortion analysis · PSNRHelpedGeneralized Event Cameras (CVPR 2024 · 10 citations)
add BSSRREDS-based dataset ×2 · PSNR33.04 -> 33.39HelpedSuper-Resolution Reconstruction from Bayer-Pattern Spike Streams (CVPR 2024 · 9 citations)
add the ADMF fusion channels to simple averaged RGB-infrared fusionM3Track · MOTA58.98 -> 68.23HelpedAll-Day Multi-Camera Multi-Target Tracking (CVPR 2025 · 8 citations)
remove joint motion estimationRBSS · PSNR31.42, 29.65, 28.08 -> 31.27, 29.50, 27.91HurtSelf-Supervised Learning for Color Spike Camera Reconstruction (CVPR 2025 · 3 citations)
Use the two-stage RAW pipeline rather than one-stage RAW reconstructionUHDR dataset ×50, ×100, and ×200 · PSNR25.137 -> 27.598; 24.896 -> 27.327; 24.632 -> 27.091HelpedUltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes (NeurIPS 2025 · 2 citations)
supervise reconstruction with both color and structure components rather than the color component aloneKalantari et al. test · PSNR-u34.45 -> 43.68HelpedSelf-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes (ICLR 2024 · 2 citations)
Use camera-imaging-aware L2H-CC rather than an MLPSynthetic datasets · PSNR (HDR)19.02 -> 38.57HelpedHigh Dynamic Range Novel View Synthesis with Single Exposure (ICML 2025 · 0 citations)
Add Cross-Modal Fusion (CF)Simulated event data · SSIM0.603 -> 0.604No clear effectEvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams (ICML 2025)

Baseline numbers that disagree

The same baseline on the same benchmark and metric, reported more than 5% apart by different papers here. Training budgets, data splits and reimplementations differ, so state which number you compare with.

BaselineBenchmarkMetricReportedPapers
HDR-CNNTest setPSNR-γ34.06 – 42.92 papers, e.g. CVPR 2020 and CVPR 2020
LDRTest setPSNR-γ33.57 – 38.92 papers, e.g. CVPR 2020 and CVPR 2020
HDR-CNNTest setHDR-VDP-254.34 – 58.62 papers, e.g. CVPR 2020 and CVPR 2020

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 23 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 40 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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