Image and Video Stabilization

Neueste Paper

• ReynoldsFlow: Physics-Inspired Spatiotemporal Flow Representation for Video Understanding

  Yu-Hsi Chen, Ching-Kai Lin, PingKong Huang, Chin-Tien Wu · 21. August 2026

  Video understanding has largely relied on deep spatiotemporal architectures, including 3D convolutional networks and optical flow (OF) based models. While effective, these methods are often computationally expensive and depend on heuristic motion representations that are sensitive to illumination, s…

• CamFlow+: Hybrid Motion Bases for 2D Camera Motion Estimation with Stabilization Applications

  Haipeng Li, Zhen Liu, Zhanglei Yang, Hai Jiang, Tianhao Zhou, Zhengzhe Liu, Ping Tan, Bing Zeng, Shuaicheng Liu · 5. Juni 2026

  Estimating 2D camera motion is fundamental to computer vision and computational photography. Existing homography-based methods work well for planar scenes or pure rotation, but struggle with camera translation, depth variation, and local parallax; local homography and mesh-based models improve flexi…

• PAS3R: Pose-Adaptive Streaming 3D Reconstruction for Long Video Sequences

  Lanbo Xu, Liang Guo, Caigui Jiang, Cheng Wang · 24. März 2026

  Online monocular 3D reconstruction enables dense scene recovery from streaming video but remains fundamentally limited by the stability-adaptation dilemma: the reconstruction model must rapidly incorporate novel viewpoints while preserving previously accumulated scene structure. Existing streaming a…

• VS3R: Robust Full-frame Video Stabilization via Deep 3D Reconstruction

  Muhua Zhu, Xinhao Jin, Xinping Wang, Yu Zhang, Yifei Xue, Tie Ji, Yizhen Lao · 9. März 2026

  Video stabilization aims to mitigate camera shake but faces a fundamental trade-off between geometric robustness and full-frame consistency. While 2D methods suffer from aggressive cropping, 3D techniques are often undermined by fragile optimization pipelines that fail under extreme motions. Novel v…

• No Labels, No Look-Ahead: Unsupervised Online Video Stabilization with Classical Priors

  Tao Liu, Gang Wan, Kan Ren, Shibo Wen · 27. Februar 2026

  We propose a new unsupervised framework for online video stabilization. Unlike methods based on deep learning that require paired stable and unstable datasets, our approach instantiates the classical stabilization pipeline with three stages and incorporates a multithreaded buffering mechanism. This …

• Trajectory Densification and Depth from Perspective-based Blur

  Tianchen Qiu, Qirun Zhang, Jiajian He, Zhengyue Zhuge, Jiahui Xu, Yueting Chen · 10. Dezember 2025

  In the absence of a mechanical stabilizer, the camera undergoes inevitable rotational dynamics during capturing, which induces perspective-based blur especially under long-exposure scenarios. From an optical standpoint, perspective-based blur is depth-position-dependent: objects residing at distinct…

• Artificial Microsaccade Compensation: Stable Vision for an Ornithopter

  Levi Burner, Guido de Croon, Yiannis Aloimonos · 4. Dezember 2025

  Animals with foveated vision, including humans, experience microsaccades, small, rapid eye movements that they are not aware of. Inspired by this phenomenon, we develop a method for "Artificial Microsaccade Compensation". It can stabilize video captured by a tailless ornithopter that has resisted at…

• Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks

  Matthew Dutson, Nathan Labiosa, Yin Li, Mohit Gupta · 3. Dezember 2025

  When applied sequentially to video, frame-based networks often exhibit temporal inconsistency - for example, outputs that flicker between frames. This problem is amplified when the network inputs contain time-varying corruptions. In this work, we introduce a general approach for adapting frame-based…