Flow-guided transformer for 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. … 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.

Flow-Guided Transformer for Video Inpainting Computer …

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 … 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 … sims 4 base game hair override https://allproindustrial.net

Flow-Guided Transformer for Video Inpainting Data Science and …

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

Flow-Guided Transformer for Video Inpainting - ResearchGate

Category:[2208.06768v1] Flow-Guided Transformer for Video …

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Flow-guided transformer for video inpainting

Removing Objects From Video More Efficiently With Machine …

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. 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 …

Flow-guided transformer for video inpainting

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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 … 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 ...

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 … WebSupplementary Material: Flow-Guided Transformer for Video Inpainting Kaidong Zhang 1, Jingjing Fu2(B), and Dong Liu 1University of Science and Technology of China …

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.

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. rbc st thomasWebApr 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. sims 4 base game foodWebFeb 15, 2024 · [ECCV 2024] Flow-Guided Transformer for Video Inpainting. video-inpainting eccv2024 Updated Jan 28, 2024; Jupyter Notebook; shleecs / Copy-and … sims 4 base game kitchensWebJun 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. sims 4 base game hubWebAug 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 ... sims 4 base game food modsWebAug 14, 2024 · We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in … sims 4 base game game hubWebJan 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 … sims 4 base game legacy challenge