CVPR 2023 - HyperCUT: Video Sequence from a Single Blurry Image

In this episode we discuss HyperCUT: Video Sequence from a Single Blurry Image by Bang-Dang Pham, Phong Tran, Anh Tran, Cuong Pham, Rang Nguyen, Minh Hoai. The paper proposes an effective self-supervised ordering scheme for training image-to-video deblurring models. The challenge of this task is the ambiguity of frame ordering. The proposed method maps each video sequence to a vector in a latent high-dimensional space and assigns an explicit order for each sequence to avoid order-ambiguity issues. The authors also propose a real-image dataset for the image-to-video deblurring problem that covers popular domains such as face, hand, and street. Experimental results confirm the effectiveness of the method.