2023
Efficient Feature Fusion for Learning-Based Photometric Stereo
ICASSP 2023accepted
How to handle an arbitrary number for input images is a fundamental problem of learning-based photometric stereo methods. Existing approaches adopt max-pooling or observation map to fuse an arbitrary number of extracted features. However, these methods discard a large amount of the features from the…