Flow-guided transformer for video inpainting

Author: xiqm

August undefined, 2024

WebOct 13, 2024 · 3.2. Spatial-temporal texture transformer 3.2.1. Encoder. The traditional video processing and image inpainting methods use feature normalization (FN) to help with network training (Kobla et al., 1996; Wang et al., 2024), but they are often performed on the entire frame without considering the impact of pixels in the corrupted region on the … WebJan 12, 2024 · Architecture of FlowFormer. FlowFormer estimates optical flow in three steps: 1) building a 4D cost volume from image features. 2) A cost volume encoder that encodes the cost volume into the cost memory. 3) A recurrent transformer decoder that decodes the cost memory with the source image context features into flows.

Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting ...

WebApr 6, 2024 · Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories. … WebWe propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for … google civic type r

Deep Video Inpainting. Removing unwanted objects from videos…

WebOct 23, 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 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. 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 google city of chicago

Progressive Temporal Feature Alignment Network for Video Inpainting ...

WebWe first integrate the philosophy of flow-guided method to transformer for video inpainting with reasonable structure and detailed texture simultaneously. We exploit the … 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. chicago cutlery 7pc magnetic strip setWebAug 14, 2024 · Flow-Guided Transformer for Video Inpainting. We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by … chicago cutlery armitage 16 piece

"WebJun 24, 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

Flow-guided transformer for video inpainting

[2208.06768v1] Flow-Guided Transformer for Video …

WebAug 14, 2024 · Flow-Guided Transformer for Video Inpainting. Kaidong Zhang, Jingjing Fu, Dong Liu. We propose a flow-guided transformer, which innovatively leverage the … WebFlow-Guided Transformer for Video Inpainting . Authors: Kaidong Zhang, Jingjing Fu, Dong Liu Published in In the proceedings of European Conference on Computer Vision …

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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. 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 …

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

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 … WebApr 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.

WebSep 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 … google civic citizenship testWebOct 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 … google clamake them sufferWebOct 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. google city pagesWeb"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 ... google claims bail bondsWebMar 23, 2024 · Flow-edge Guided Video Completion (FGVC) consists of flow completion, temporal propagation and fusion steps. ... FuseFormer: Fusing Fine-Grained Information … google claim owner businessWebApr 11, 2024 · E2FGVI proposes an end-to-end framework for flow-guided video inpainting that extracts context features and optical flows between local neighbors, … google clang format fileWebFlow-Guided Transformer for Video Inpainting We propose a flow-guided transformer, which innovatively leverage the mo... 6 Kaidong Zhang, et al. ∙. share ... chicago cutlery always sharp knife sharpener