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 … WebJan 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 …

Flow-Guided Transformer for Video Inpainting Papers With Code

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 ... 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 ... hill automotive inc orange park fl

Flow-Guided Transformer for Video Inpainting DeepAI

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 … 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. 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 … hill ave dental superior wi