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Guided Depth Map Super-Resolution: A Survey
Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution (HR) depth map from a low-resolution (LR) …
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Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications
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Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising
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Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion
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High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion
ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation
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ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation