Event-Based Optical Flow

Follow this topic Ask about this topic

Momentum

1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 8

All topics

E-WAVE: Event-based Continuous Optical Flow via Warping-Aligned Visual Encoding
Sep 28, 2026Jiale Wu, Xiaoyang Bai, Haoming Yu +3Optical Flow Event-Based Vision
Zhejiang University. · The University of Hong Kong.
Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues
Aug 11, 2026Hesam Araghi, Jan van Gemert, Nergis TomenOptical Flow Event-Based Vision
Computer Vision Lab, Delft University of Technology
ENCORE: Event-Assisted Complementary Motion Refinement for Learned Video Compression
Jul 30, 2026Shuhan Ye, Hongbin Yu, Chenqi Kong +4Optical Flow Event-Based Optical Flow
School of Computer Science, Wuhan University, Wuhan, China · School of Artificial Intelligence, Ningbo University, Ningbo, China · National University of Singapore, Singapore +2
Optical Flow Sensor: A Direction-Selective Bionic Retina Design
Jul 30, 2026Juchen Zhou, Bonan Yan, Yuchao YangOptical Flow Event-Based Vision
Peking University, China
EventShiftFlow: Towards Hardware-efficient FPGA-based Flow Estimation
May 27, 2026Arianna Alonso Bizzi, Fernando Cladera, C. J. TaylorOptical Flow Event-Based Vision
University of Pennsylvania, Philadelphia, PA.
From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation
May 25, 2026Rui Hu, Song Wu, Wen Yang +1Optical Flow Event-Based Vision
Xidian University1
LC-Flow: Learning Local Continuous Optical Flow and Confidence from events
May 23, 2026Gunwoo Jeon, Chaesong Park, Jongwoo LimOptical Flow Event-Based Vision
IPAI, Seoul National University
Aquatic Neuromorphic Optical Flow
May 8, 2026Pei Zhang, Yunkai Liang, Kaiqiang WangOptical Flow Event-Based Vision
School of Electrical Engineering, Guangxi University · Baise Artificial Intelligence Innovation and Development Center · School of Physical Science and Technology, Northwestern Polytechnical University

Sep 28, 2026, cs.CVJ/K move · Enter open · S save

E-WAVE: Event-based Continuous Optical Flow via Warping-Aligned Visual Encoding

Jiale Wu, Xiaoyang Bai, Haoming Yu, Yiwei Chen+2

Zhejiang University. · The University of Hong Kong.

Optical Flow Event-Based Vision Event-Based Optical Flow

Open paper AskPDF arXiv

Temporally dense optical flow is essential for dynamic perception in immersive VR/AR systems, where rapid head, hand, and object motion must be continuously captured and tracked. Existing frame-based optical flow estimation methods are constrained by the tradeoff between temporal resolution and computational cost; while event cameras, with their high temporal resolution and energy efficiency, serve as a natural solution to the dilemma. However, event-based approaches commonly rely on correlation volumes to capture pairwise voxel correspondences, which incur substantial memory and computation overhead. We present E-WAVE, a correlation-free framework for high-temporal-resolution (HTR) optical flow estimation from event streams. Instead of constructing all-pairs correlation volumes, E-WAVE employs global attention mechanism to model long-range feature dependencies and performs trajectory guided feature warping using Bézier curve. Through iterative updates, it predicts trajectories that allow for querying at arbitrary timestamps without repeated inference. Experiments on MultiFlow and DSEC-Flow demonstrate a 25% lower trajectory error and comparable endpoint flow estimation accuracy relative to state-of-the art baselines. Additional evaluations on self-captured data using a head-mounted prototype validate that E-WAVE remains robust under challenging real-world conditions.

Momentum

Related topics

Latest papers 8