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CARA: Collision-Aware Resolution Adaptation for Multiresolution Hash Encoding Based Image Fitting

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

Multiresolution hash encodings have recently enabled fast and high-fidelity implicit neural representations by storing multi-scale features in fixed-size hash tables along a geometric resolution schedule. However, the standard design is data-agnostic: different resolution levels receive identical hash-table capacity despite large differences in image frequency content. As a result, some levels experience severe hash collisions while others underutilize parameters, leading to inefficient capacity allocation. To address this issue, we propose Collision-Aware Resolution Adaptation (CARA), a metho

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