Flow-guided transformer for video inpainting

WebA tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebAug 14, 2024 · This is the demo video of our newly proposed paper: Flow-Guided Transformer for Video Inpainting. The project website is: …

Learning Joint Spatial-Temporal Transformations for Video Inpainting ...

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. WebWe 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. photobook club vouchers https://guineenouvelles.com

Flow-Guided Transformer for Video Inpainting Computer …

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. WebFlow-Guided Transformer for Video Inpainting . Authors: Kaidong Zhang, Jingjing Fu, Dong Liu Published in In the proceedings of European Conference on Computer Vision … 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 … photobook albums and prints

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

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Flow-guided transformer for video inpainting

video-inpainting · GitHub Topics · GitHub

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 ... WebApr 6, 2024 · Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories. …

Flow-guided transformer for video inpainting

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WebAug 14, 2024 · Flow-Guided Transformer for Video Inpainting. We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by … 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 …

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 … 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.

WebFeb 15, 2024 · [ECCV 2024] Flow-Guided Transformer for Video Inpainting. video-inpainting eccv2024 Updated Jan 28, 2024; Jupyter Notebook; shleecs / Copy-and … WebFlow-Guided Transformer for Video Inpainting.

WebJul 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 …

WebThe introduction of Flow-Guided Transformer for Video Inpainting in ECCV 2024. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test ... photobook australia reviewWebApr 11, 2024 · E2FGVI proposes an end-to-end framework for flow-guided video inpainting that extracts context features and optical flows between local neighbors, … how does the federal minimum wage increaseWebFlow-Guided Transformer for Video Inpainting We propose a flow-guided transformer, which innovatively leverage the mo... 6 Kaidong Zhang, et al. ∙. share ... how does the federal reserve workWebAug 14, 2024 · We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in … photobook club appWebOct 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 … photobook canada log inWebSep 28, 2024 · This paper proposes a novel video inpainting method. We make three main contributions: First, we extended previous Transformers with patch alignment by introducing Deformed Patch-based Homography (DePtH), which improves patch-level feature alignments without additional supervision and benefits challenging scenes with … photobook australia downloadWebJan 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 … photobook club