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The paper presents a novel method for graphic sketch representation called SP-gra2seq, which links sketch patches based on synonymous proximity, allowing for a more robust and accurate representation of sketches. By utilizing a graph convolutional network (GCN) to aggregate features from semantically related patches, the method addresses the limitations of existing approaches that rely on drawing order or spatial proximity. Experimental results demonstrate significant improvements in controllable sketch syn

Author

ledcrypto

Language

EN