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Found 4 papers, 2 papers with code
Scene Prior Filtering for Depth Map Super-Resolution
Specifically, we design an All-in-one Prior Propagation that computes the similarity between multi-modal scene priors, i. e., RGB, normal, semantic, and depth, to reduce the texture interference.
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution
Recent image guided DSR approaches mainly focus on spatial domain to rebuild depth structure.
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
Single-image super-resolution (SISR) has achieved significant breakthroughs with the development of deep learning.
Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network
Recently, the single image super-resolution (SISR) approaches with deep and complex convolutional neural network structures have achieved promising performance.
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