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Neural Video Compression Based on Deformable Temporal Alignment and Difference-aware Fusion
In conditional coding-based neural video compression, the quality of temporal context directly affects compression per- formance. Existing methods mostly construct context from prop- agated reference features, but they are vulnerable to motion esti- mation and local alignment errors in regions with
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