Denoising Point Clouds in Latent Space Via Graph Convolution and Invertible Neural Network
CVPR 2024（2024）
关键词
Neural Network,Point Cloud,Latent Space,Graph Convolutional Network,Graph Convolution,Invertible Neural Networks,Geometric Features,Geometric Structure,Inverse Transformation,Noise Components,Noise Factors,Latent Code,Invertible Operator,Monotone Operator,Input Layer,3D Space,Euclidean Space,Shape Structure,Dense Connections,Specific Channel,Point Cloud Representation,Bijective Mapping,Encoding Processes,Noise Points,Function In Eq,Noisy Points,Geometric Information,Subsequent Layers,Normal Flow,Point Cloud Data
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