[HUGGINGFACE]score: 0.55
HorizonStream Transformer Prevents Drift and Cache Saturation in Online 3D Reconstruction
May 21, 2026
HorizonStream formalizes geometric evidence propagation as an influence kernel and uses a long-horizon Transformer that explicitly factorizes temporal heterogeneity, avoiding the drift, jitter, and attention sinks caused by sliding windows and ungated recurrence in streaming 3D reconstruction.
paper
HOW THIS AFFECTS YOU
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builderWorth evaluating for robotics or AR pipelines requiring stable online 3D reconstruction over long sequences without unbounded memory.
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researcherThe evidence influence kernel formalization provides a principled framework for analyzing and designing attention patterns in temporally heterogeneous streaming tasks.