Event-based Optical Flow

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
  12 Dec 2024 2 repositories listed
  We further present a synthetic event-based datasets and data generation pipelines for optical flow prediction tasks.
• Event-based Background-Oriented Schlieren
  1 Nov 2023 2 repositories listed
  Schlieren imaging is an optical technique to observe the flow of transparent media, such as air or water, without any particle seeding.
• Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow
  9 Jun 2025 1 repository listed
  Our STSSM module leverages state-space models to effectively capture spatio-temporal correlations in event data, offering higher performance with lower complexity compared to ViT, CNN-based architectures in similar…
• SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation
  6 Sep 2024 1 repository listed
  Our work is the first to make use of spikeformers for dense optical flow estimation.
• Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification
  29 Jul 2024 1 repository listed
  Spiking neural networks (SNNs) for event-based optical flow are claimed to be computationally more efficient than their artificial neural networks (ANNs) counterparts, but a fair comparison is missing in the literature.
• S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
  27 Jun 2023 1 repository listed
  Spiking Neural Networks (SNNs) are biologically plausible models that have been identified as potentially apt for deploying energy-efficient intelligence at the edge, particularly for sequential learning tasks.
• IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
  17 May 2023 1 repository listed
  The proposed method first estimates the optical flow based on frames and events, and then decides whether to further calculate the residual optical flow in those sub-regions via a Gumbel gating module according to the…
• TMA: Temporal Motion Aggregation for Event-based Optical Flow
  21 Mar 2023 1 repository listed Syntology ran 12 of 13 samples · 1 unverified · 13 pointer-only (licence)
  In this paper, we argue that temporal continuity is a vital element of event-based optical flow and propose a novel Temporal Motion Aggregation (TMA) approach to unlock its potential.
• Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
  24 Nov 2022 1 repository listed
  Inspired by frame-based methods, state-of-the-art event-based optical flow networks rely on the explicit construction of correlation volumes, which are expensive to compute and store, rendering them unsuitable for…
• Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
  3 Oct 2022 1 repository listed
  In this work, we show that a temporally dense flow estimation at 100Hz can be achieved by treating the flow estimation as a sequential problem using two different variants of recurrent networks - Long-short term memory…
• Secrets of Event-Based Optical Flow
  20 Jul 2022 1 repository listed
  Event cameras respond to scene dynamics and offer advantages to estimate motion.
• Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
  20 Dec 2021 1 repository listed
  As an answer to these points, we propose an optimized framework for computing optical flow in real-time with both low- and high-resolution event cameras.
• Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
  10 Sep 2021 1 repository listed Syntology ran 1 of 11 samples · 10 unverified
  Recently, many deep learning methods have shown great success in providing promising solutions to many event-based problems, such as optical flow estimation.
• Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
  14 Mar 2020 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  Spiking Neural Networks (SNNs) serve as ideal paradigms to handle event camera outputs, but deep SNNs suffer in terms of performance due to the spike vanishing phenomenon.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.