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Amirhosein Ghasemabadi

1 accepted papers

2024

Learning Truncated Causal History Model for Video Restoration

NeurIPS 2024poster

One key challenge to video restoration is to model the transition dynamics of video frames governed by motion. In this work, we propose Turtle to learn the truncated causal history model for efficient and high-performing video restoration. Unlike traditional methods that process a range of contextua…