AI RESEARCH
RASLF: Representation-Aware State Space Model for Light Field Super-Resolution
arXiv CS.AI
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ArXi:2603.16243v1 Announce Type: cross Current SSM-based light field super-resolution (LFSR) methods often fail to fully leverage the complementarity among various LF representations, leading to the loss of fine textures and geometric misalignments across views. To address these issues, we propose RASLF, a representation-aware state-space framework that explicitly models structural correlations across multiple LF representations.