mlsanityData to 14 Oct 2026

Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey

arXiv 2509.09971 ↗First posted 12 Sep 2025cs.CVcited by 3

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Abstract (arXiv)

Event camera sensors are bio-inspired sensors which asynchronously capture per-pixel brightness changes and output a stream of events encoding the polarity, location and time of these changes. These systems are witnessing rapid advancements as an emerging field, driven by their low latency, reduced power consumption, and ultra-high capture rates. This survey explores the evolution of fusing event-stream captured with traditional frame-based capture, highlighting how this synergy significantly benefits various video restoration and 3D reconstruction tasks. The paper systematically reviews major deep learning contributions to image/video enhancement and restoration, focusing on two dimensions: temporal enhancement (such as frame interpolation and motion deblurring) and spatial enhancement (including super-resolution, low-light and HDR enhancement, and artifact reduction). This paper also explores how the 3D reconstruction domain evolves with the advancement of event driven fusion. Diverse topics are covered, with in-depth discussions on recent works for improving visual quality under challenging conditions. Additionally, the survey compiles a comprehensive list of openly available datasets, enabling reproducible research and benchmarking. By consolidating recent progress and insights, this survey aims to inspire further research into leveraging event camera systems, especially in combination with deep learning, for advanced visual media restoration and enhancement.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 136 of its 244 references that are in the map. First posted on arXiv 12 Sep 2025.

Builds on

136 of 244 references.

References · 136

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38 more
  1. 2018The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perceptioncited by 254
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  5. 2019Events-to-Video: Bringing Modern Computer Vision to Event Camerascited by 193
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50 most cited of 136 All 136 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.