The proposed method, guided semantic flow, establishes reliable dense semantic correspondences by leveraging the guidance from confident matches to reduce ...
Establishing dense semantic correspondences requires dealing with large geometric variations caused by the unconstrained setting of images.
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Nov 3, 2020 · We presented a novel framework, guided semantic flow, that reliably infers dense semantic correspondences under large appearance and spatial ...
Establishing dense semantic correspondences requires dealing with large geometric variations caused by the unconstrained setting of images.
Dec 6, 2022 · In this work, we propose a semantic flow-guided two-stage framework for shape-aware face swapping, namely FlowFace.
In this work, we propose a semantic flow-guided two-stage framework for shape-aware face swapping, namely Flow-. Face. Unlike most previous methods that ...
Establishing dense semantic correspondences requires dealing with large geometric variations caused by the unconstrained setting of images.
Sep 21, 2018 · We propose to decompose the challenging semantic forecasting task into two subtasks: current frame segmentation and future optical flow prediction.
• Flow-Guided Feature Aggregation for Video Object Detection. • Summary. Page ... • Optical flow with semantic segmentation and localized layers, CVPR, 2016.
We propose to decompose the challenging semantic forecasting task into two subtasks: current frame segmentation and future optical flow prediction.