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VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization
By discretizing the materials, our model can reduce noise in the decomposition process and generate a segmentation map of discrete materials.
A spatial-temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism
Location-GCN solves this problem by adding a new learnable matrix into the GCN mechanism, using the absolute value of this matrix to represent the distinct influence levels among different nodes.
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