In this work, we present a simple video demoiréing model to leverage multiple video frames and a new relation- based consistency loss to improve video-level ...

Apr 6, 2022 · We propose a relation-based temporal consistency loss to encourage the model to learn temporal consistency priors directly from ground-truth reference videos.

Our video demoireing network mainly consists of three parts: First, the PCD takes consecutive frames as inputs to implicitly align frames in the feature space.

These two methods use multi-scale features for handling large-scale images and release high-resolution datasets. Another explored research problem, video ...

The project page of CVPR 2022 paper: Video Demoireing with Relation-based Temporal Consistency - daipengwa/VDmoire_ProjectPage.

Sep 12, 2024 · More importantly, we propose a relation-based temporal consistency loss to encourage the model to learn temporal consistency priors directly ...

Video Demoireing with Relation-Based Temporal Consistency. Dai, P; Yu, X; Ma, L; Zhang, BH; Li, J; Li, WB; Shen, JJ; Qi, XJ. Qi, XJ (通讯作者)，Univ Hong Kong ...

Video demoireing with relation-based temporal consistency. P Dai, X Yu, L Ma, B Zhang, J Li, W Li, J Shen, X Qi. Proceedings of the IEEE/CVF conference on ...

VDMoiré (Dai et al. 2022) presents a simple video demoiréing model that utilizes multiple video frames. It also employs a novel relation-based consistency loss, ...

Mar 17, 2022 · Video Demoireing with Relation-based Temporal Consistency. 739 views · 2 years ago ...more. Peng Dai. 7. Subscribe.