Flow-guided transformer 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. WebAug 14, 2024 · Flow-Guided Transformer for Video Inpainting. We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by …
Flow-guided transformer for video inpainting
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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. 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.
WebApr 7, 2024 · This research presents an End-to-End framework for Flow-Guided Video Inpainting ( E2FGVI ), which consists of three extensively built trainable modules: flow completion, feature propagation, and ... WebFlow-Guided Transformer for Video Inpainting . Authors: Kaidong Zhang, Jingjing Fu, Dong Liu Published in In the proceedings of European Conference on Computer Vision …
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 … WebApr 10, 2024 · The DEVIL Is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting. Paper: CVPR 2024 Open Access Repository; Code: GitHub - MichiganCOG/devil; DLFormer: Discrete Latent Transformer for Video Inpainting. Paper: CVPR 2024 Open Access Repository; Inertia-Guided Flow Completion and Style Fusion …
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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. sharksfin bar and restaurant mevagisseyWebJul 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 … popular swimsuits for menWebJan 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 … sharks feetWebApr 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. popular swing song in moviesWebFeb 15, 2024 · [ECCV 2024] Flow-Guided Transformer for Video Inpainting. video-inpainting eccv2024 Updated Jan 28, 2024; Jupyter Notebook; shleecs / Copy-and … popular swimsuits for womenWebAug 14, 2024 · This is the demo video of our newly proposed paper: Flow-Guided Transformer for Video Inpainting. The project website is: … popular swing dance musicWebOct 23, 2024 · We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in … sharksfin dumpling