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.
Abstract: Transformers have been widely used for video processing owing to the multi-head self attention (MHSA) mechanism. However, the MHSA mechanism encounters an intrinsic difficulty for video ...
Abstract: Video frame interpolation can up-convert the frame rate and enhance the video quality. In recent years, although interpolation performance has achieved great success, image blur usually ...
This project is the implement of RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation. Currently, our model can run 30+FPS for 2X 720p interpolation on a 2080Ti GPU. It supports ...
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