IGAF, an incremental attention fusion network, reports state-of-the-art RMSE on NYU v2 and zero-shot gains on Middlebury, Lu, and RGB-D-D depth super-resolution benchmarks.
Collison avoidance using point cloud data fusion from multiple depth sensors: A practical approach
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution
IGAF, an incremental attention fusion network, reports state-of-the-art RMSE on NYU v2 and zero-shot gains on Middlebury, Lu, and RGB-D-D depth super-resolution benchmarks.