Flow-guided transformer for video inpainting

Web🧰🧰 FGT: flow-guided ViT for inpainting 🧰🧰 👉#Microsoft (+USTC) unveils FGT: flow-guided transformer for Hi-Fi video inpainting… Dipesh Satav さんが「いいね! 」しました 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 …

Deep Video Inpainting. Removing unwanted objects from videos…

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 … 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 … flink dynamictablefactory https://avaroseonline.com

[2208.06768] Flow-Guided Transformer for Video Inpainting - arXiv.org

WebFlow-Guided Transformer for Video Inpainting. WebMar 29, 2024 · Specifically, we customize an inpainting-oriented transformer block, where the attention module aggregates non-local information only from partial valid tokens, indicated by a dynamic mask. Extensive experiments demonstrate the state-of-the-art performance of the new model on multiple benchmark datasets. ... Flow-Guided … WebWe first integrate the philosophy of flow-guided method to transformer for video inpainting with reasonable structure and detailed texture simultaneously. We exploit the … flink dynamodb connector

Removing Objects From Video More Efficiently With Machine …

Category:Error Compensation Framework for Flow-Guided Video Inpainting

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Flow-guided transformer for video inpainting

Flow-Guided Transformer for Video Inpainting Papers With Code

WebNov 3, 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. WebApr 11, 2024 · E2FGVI proposes an end-to-end framework for flow-guided video inpainting that extracts context features and optical flows between local neighbors, …

Flow-guided transformer for video inpainting

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WebJun 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. WebAug 14, 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. More specially, we design a novel flow completion network to complete the corrupted flows by exploiting the relevant flow features in a local ...

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 WebAug 13, 2024 · We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in …

WebJun 24, 2024 · Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories. … WebJun 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.

WebAug 15, 2024 · Figure 3: (c) Flow-guided video object inpainting with the occlusion-aware gating scheme. Figure 4 further illustrates the operation of our occlusion-aware temporal shift module (TSM). We adopt T-patch Discriminator [ 5 , 64 ] and propose a multi-class discriminator with spatio-temporal attention module (STAM) to regularize the GAN training.

WebMay 19, 2024 · New research from China reports state-of-the-art results – as well as an impressive improvement in efficiency – for a new video inpainting system that can adroitly remove objects from footage. The technique, called End-to-End framework for Flow-Guided video Inpainting (E2FGVI), is also capable of removing watermarks and various other … flink earliest-offsetWebApr 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. greater grace temple college fairWeb"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 ... flink dynamictablesourceWebFeb 15, 2024 · [ECCV 2024] Flow-Guided Transformer for Video Inpainting. video-inpainting eccv2024 Updated Jan 28, 2024; Jupyter Notebook; shleecs / Copy-and … flink early fireWebJul 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 … flink early-fireWebJan 24, 2024 · This problem, termed query degradation, may be mitigated by first completing optical flows and then using the flows to guide the self attention, which was verified in our … flink elasticsearch 8WebMar 23, 2024 · Flow-edge Guided Video Completion (FGVC) consists of flow completion, temporal propagation and fusion steps. ... FuseFormer: Fusing Fine-Grained Information … greater grace temple live stream