Flow-guided transformer for video inpainting
Web本文提出时空转换网络STTN（Spatial-Temporal Transformer Network）。具体来说，是通过自注意机制同时填补所有输入帧中的缺失区域，并提出通过时空对抗性损失来优化STTN。为了展示该模型的优越性，我们使用标准的静止掩模和更真实的运动物体掩模进行了定量和定 … WebFlow-Guided Transformer for Video Inpainting . Authors: Kaidong Zhang, Jingjing Fu, Dong Liu Published in In the proceedings of European Conference on Computer Vision …
Flow-guided transformer for video inpainting
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WebJun 24, 2024 · Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories. However, the hand-crafted flow-based processes in these methods are applied separately to form the whole inpainting pipeline. Thus, these methods are less efficient and rely heavily on the … WebJul 2, 2024 · This paper presents a novel component termed Learnable Gated Temporal Shift Module (LGTSM) for video inpainting models that could effectively tackle arbitrary video masks without additional parameters from 3D convolutions. How to efficiently utilize temporal information to recover videos in a consistent way is the main issue for video …
Web"We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for high fidelity video inpainting. More specially, we design a novel flow completion network to complete the corrupted flows by exploiting the relevant flow features in a local ... WebWe propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for …
WebApr 6, 2024 · Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories. … WebJan 24, 2024 · We further exploit the flow guidance and propose FGT++ to pursue more effective and efficient video inpainting. First, we design a lightweight flow completion network by using local aggregation and edge loss. Second, to address the query degradation, we propose a flow guidance feature integration module, which uses the …
WebSemi-Supervised Video Inpainting with Cycle Consistency Constraints ... Adaptive Spot-Guided Transformer for Consistent Local Feature Matching Jiahuan Yu · Jiahao Chang · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Feng Wu ... Visibility guided Flow Network for Human Reposing
WebOct 31, 2024 · 2.1 Direct Synthesis Methods. From the success of deep learning, many deep-based video inpainting methods have emerged. [3, 10, 17] proposed to use 3D encoder-decoder networks for enhancing the efficiency and the temporal consistency.[13, 22] exploited attention-based methods, which use transformer modules for matching … immersion heater o ring sealWebJun 1, 2024 · We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for high fidelity video inpainting. immersion heater installation leicesterWebApr 11, 2024 · E2FGVI proposes an end-to-end framework for flow-guided video inpainting that extracts context features and optical flows between local neighbors, which are then forwarded to multi-layer temporal focal transformers for content hallucination, and to decoder up-scaling for reconstruction. immersion heater jacket b\u0026qWebApr 8, 2024 · Video inpainting aims to fill spatiotemporal "corrupted" regions with plausible content. To achieve this goal, it is necessary to find correspondences from neighbouring frames to faithfully hallucinate the unknown con-tent. Current methods achieve this goal through attention, flow-based warping, or 3D temporal convolution. immersion heater not heating water quicklyWebRecently we have received many complaints from users about site-wide blocking of their own and blocking of their own activities please go to the settings off state, please visit： immersion heater part no. imhtrssWebJul 20, 2024 · In this paper, we propose to learn a joint Spatial-Temporal Transformer Network (STTN) for video inpainting. Specifically, we simultaneously fill missing regions in all input frames by self-attention, and propose to optimize STTN by a spatial-temporal adversarial loss. To show the superiority of the proposed model, we conduct both … immersion heater overheatingWebOct 29, 2024 · We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for high fidelity video inpainting. immersion heater plug \u0026 washer