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AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
[article]
2021
arXiv
pre-print
In this paper, we present a novel recurrent multi-view stereo network based on long short-term memory (LSTM) with adaptive aggregation, namely AA-RMVSNet. We firstly introduce an intra-view aggregation module to adaptively extract image features by using context-aware convolution and multi-scale aggregation, which efficiently improves the performance on challenging regions, such as thin objects and large low-textured surfaces. To overcome the difficulty of varying occlusion in complex scenes,
arXiv:2108.03824v1
fatcat:edkmh5kxwvboxegmj7chc2wosq