MoTDiff: High-resolution Motion Trajectory estimation from a single blurred image using Diffusion models

• URL: http://arxiv.org/abs/2510.26173v1
• Date: Thu, 30 Oct 2025 06:24:02 GMT
• Title: MoTDiff: High-resolution Motion Trajectory estimation from a single blurred image using Diffusion models
• Authors: Wontae Choi, Jaelin Lee, Hyung Sup Yun, Byeungwoo Jeon, Il Yong Chun,
• Abstract summary: We propose the first high-resolution (HR) Motion Trajectory estimation framework using Diffusion models (MoTDiff)<n>The proposed MoTDiff consists of two key components: 1) a new conditional diffusion framework that uses multi-scale feature maps extracted from a single blurred image as a condition, and 2) a new training method that can promote precise identification of a fine-grained motion trajectory.
• Score: 6.960373597765549
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Accurate estimation of motion information is crucial in diverse computational imaging and computer vision applications. Researchers have investigated various methods to extract motion information from a single blurred image, including blur kernels and optical flow. However, existing motion representations are often of low quality, i.e., coarse-grained and inaccurate. In this paper, we propose the first high-resolution (HR) Motion Trajectory estimation framework using Diffusion models (MoTDiff). Different from existing motion representations, we aim to estimate an HR motion trajectory with high-quality from a single motion-blurred image. The proposed MoTDiff consists of two key components: 1) a new conditional diffusion framework that uses multi-scale feature maps extracted from a single blurred image as a condition, and 2) a new training method that can promote precise identification of a fine-grained motion trajectory, consistent estimation of overall shape and position of a motion path, and pixel connectivity along a motion trajectory. Our experiments demonstrate that the proposed MoTDiff can outperform state-of-the-art methods in both blind image deblurring and coded exposure photography applications.

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