SeeRF: Learning to See Beyond Fields of View via Generative Image Registration and Fusion
Paper recorded by Signals 4 on 2026-10-26 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27
Category: cs.CV · 计算机视觉 · first seen 2026-10-27
Abstract
Due to the inherent discrepancies in imaging viewpoints and field-of-view mismatches among multi-modal sensors, existing fusion methods have long struggled to achieve complete scene-level information integration beyond the limitation in sensor fields of view. Consequently, the generated fusion results often contain modality-specific regions and fusion artifacts, limiting the comprehensive represen
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Cite this page: SeeRF: Learning to See Beyond Fields of View via Generative Image Registration and Fusion: the #157 most recent of 756 cs.CV papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/seerf-learning-to-see-beyond-fields-of-view-via-generative-image-registration-an.html
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