Scene Prior Filtering for Depth Map Super-Resolution

arXiv:2402.13876v1 Announce Type: new
Abstract: Multi-modal fusion is vital to the success of super-resolution of depth images. However, commonly used fusion strategies, such as addition and concatenation, fall short of effectively bridging the modal gap. As a result, guided image filtering methods have been introduced to mitigate this issue. Nevertheless, it is observed that their filter kernels usually encounter significant texture interference and edge inaccuracy. To tackle these two challenges, we introduce a Scene Prior Filtering network, SPFNet, which utilizes …

abstract arxiv cs.cv filtering fusion gap image images issue map modal multi-modal prior strategies success type vital