mlsanityData to 7 Oct 2026

Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation

arXiv 1607.06283 ↗First posted 21 Jul 2016cs.CVcited by 49

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Abstract (arXiv)

Event cameras or neuromorphic cameras mimic the human perception system as they measure the per-pixel intensity change rather than the actual intensity level. In contrast to traditional cameras, such cameras capture new information about the scene at MHz frequency in the form of sparse events. The high temporal resolution comes at the cost of losing the familiar per-pixel intensity information. In this work we propose a variational model that accurately models the behaviour of event cameras, enabling reconstruction of intensity images with arbitrary frame rate in real-time. Our method is formulated on a per-event-basis, where we explicitly incorporate information about the asynchronous nature of events via an event manifold induced by the relative timestamps of events. In our experiments we verify that solving the variational model on the manifold produces high-quality images without explicitly estimating optical flow.

Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jul 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 6; 2023: 14; 2024: 12; 2025: 10; 2026: 5.

49 papers.

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  1. 2023Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarkscited by 90
  2. 2022ESS: Learning Event-based Semantic Segmentation from Still Imagescited by 81
  3. 2022Event-based Video Reconstruction via Potential-assisted Spiking Neural Networkcited by 58
  4. 2023Graph-based Asynchronous Event Processing for Rapid Object Recognitioncited by 51
  5. 2022TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolationcited by 37
  6. 2023HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworkscited by 37
  7. 2024Seeing Motion at Nighttime with an Event Cameracited by 33
  8. 2021Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flowcited by 28
  9. 2023Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Eventscited by 28
  10. 2023EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstructioncited by 24
  11. 2023EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Datasetcited by 19
  12. 2023EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fieldscited by 17
37 more
  1. 2023Person Re-Identification without Identification via Event Anonymizationcited by 16
  2. 2023Event-based Continuous Color Video Decompression from Single Framescited by 14
  3. 2023Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurringcited by 13
  4. 2023Learning to Super-Resolve Blurry Images with Eventscited by 10
  5. 2024Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstructioncited by 10
  6. 2025Unsupervised Joint Learning of Optical Flow and Intensity with Event Camerascited by 10
  7. 2023E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Camerascited by 9
  8. 2024Temporal-Mapping Photography for Event Camerascited by 9
  9. 2022Autofocus for Event Camerascited by 7
  10. 2024Generalized Event Camerascited by 7
  11. 2024E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion Priorscited by 7
  12. 2025Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicingcited by 7
  13. 2022Learning to See Through with Eventscited by 6
  14. 2023An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Camerascited by 6
  15. 2025EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstructioncited by 6
  16. 2021Research on Event Accumulator Settings for Event-Based SLAMcited by 5
  17. 2023An Asynchronous Intensity Representation for Framed and Event Video Sourcescited by 5
  18. 2024LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstructioncited by 5
  19. 2024Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representationscited by 4
  20. 2025Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articlescited by 4
  21. 2024Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imagingcited by 3
  22. 2025Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Surveycited by 3
  23. 2024Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Camerascited by 2
  24. 2026Event6D: Event-based Novel Object 6D Pose Trackingcited by 2
  25. 2022Illumination-Based Color Reconstruction for the Dynamic Vision Sensorcited by 1
  26. 2024Enhanced Event-Based Video Reconstruction with Motion Compensationcited by 1
  27. 2024High-speed and High-quality Vision Reconstruction of Spike Camera with Spike Stability Theoremcited by 1
  28. 2025EMF: Event Meta Formers for Event-based Real-time Traffic Object Detectioncited by 1
  29. 2026Optical Linear Systems Framework for Event Sensing and Computational Neuromorphic Imagingcited by 1
  30. 2026UniE2F: A Unified Diffusion Framework for Event-to-Frame Reconstruction with Video Foundation Modelscited by 1
  31. 2024EROAM: Event-based Camera Rotational Odometry and Mapping in Real-timecited by 0
  32. 2025PS-EIP: Robust Photometric Stereo Based on Event Interval Profilecited by 0
  33. 2025UTA-Sign: Unsupervised Thermal Video Augmentation via Event-Assisted Traffic Signage Sketchingcited by 0
  34. 2025Filter-Based Reconstruction of Images from Eventscited by 0
  35. 2025EvDiff: Event-Based Video Reconstruction using One-Step Diffusion Modelscited by 0
  36. 2026Programmable Silicon Retina on Pixel Processor Arraycited by 0
  37. 2026LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Modelscited by 0