Flow-guided transformer for video inpainting

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 … 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.

[ECCV 2024] Flow-Guided Transformer for 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. 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 … how do they install fiber optic cable https://smajanitorial.com

extreme-assistant/ECCV2024-Paper-Code-Interpretation

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. 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 … 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 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 … how do they investigate car insurance fraud

extreme-assistant/ECCV2024-Paper-Code-Interpretation

Category:Demo Video: Flow-Guided Transformer for Video Inpainting

Tags:Flow-guided transformer for video inpainting

Flow-guided transformer for video inpainting

Flow-Guided Transformer for Video Inpainting – arXiv Vanity

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 … WebFlow-Guided Transformer for Video Inpainting We propose a flow-guided transformer, which innovatively leverage the mo... 6 Kaidong Zhang, et al. ∙. share ...

Flow-guided transformer for video inpainting

Did you know?

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

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. 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 ...

WebWe propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for … 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.

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 … how much sign languageWebThe 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 ... how do they keep lenin\u0027s body preservedWebJul 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 … how much signing bonus should i ask forWeb[ECCV 2024] Flow-Guided Transformer for Video Inpainting / / / [Project page] This repository hosts the pretrained models of the following paper: Flow-Guided Transformer for Video Inpainting Kaidong Zhang, … how do they know bryan kohberger did itWebMar 23, 2024 · Flow-edge Guided Video Completion (FGVC) consists of flow completion, temporal propagation and fusion steps. ... FuseFormer: Fusing Fine-Grained Information … how do they know a lion took marialWebFlow-Guided Transformer for Video Inpainting . Authors: Kaidong Zhang, Jingjing Fu, Dong Liu Published in In the proceedings of European Conference on Computer Vision … how do they install oil rigsWebWe first integrate the philosophy of flow-guided method to transformer for video inpainting with reasonable structure and detailed texture simultaneously. We exploit the … how do they install quartz countertops