Abstract: An intra prediction method and a decoder are provided. The method includes the following. Coordinate information of a current node and a current level corresponding to the current node are determined. A current quantity is determined based on the current level, where the current quantity is positively correlated with the current level. Current neighbour nodes are determined based on the coordinate information of the current node, where the current neighbour nodes are neighbour nodes of the current quantity among neighbour nodes of a parent node of the current node. Intra prediction is performed on the current node based on the coordinate information of the current node and the current neighbour nodes.

Abstract: A method for intra prediction includes: determining occupancy information of a first number of neighboring nodes of a coded node; determining occupancy information of a second number of neighboring nodes of the coded node based on a position association between at least one neighboring node of the coded node and a child node of the coded node, where the first number is greater than the second number; determining an occupancy number corresponding to the second number of neighboring nodes based on the occupancy information of the second number of neighboring nodes; and determining an occupancy prediction result of the child node of the coded node based on the occupancy number. A decoder and a method for intra prediction performed by the decoder are also provided.

Abstract: A method and device for intra prediction are provided. The method includes: when determining that a current level obtained by partitioning an input point cloud is lower than a target level, obtaining occupation information of a first number of neighbouring nodes of a current node; extracting occupation information of a second number of neighbouring nodes from the occupation information of the first number of neighbouring nodes, the first number being greater than the second number, and the second number of neighbouring nodes being in an association relationship with a child node of the current node, and performing intra prediction on occupation information of the child node of the current node based on the occupation information of the second number of neighbouring nodes to obtain a first prediction result.

Abstract: A method and device for intra prediction are provided. The method includes: when determining that a current level obtained by partitioning an input point cloud is lower than a target level, obtaining occupation information of a first number of neighbouring nodes of a current node; extracting occupation information of a second number of neighbouring nodes from the occupation information of the first number of neighbouring nodes, the first number being greater than the second number, and the second number of neighbouring nodes being in an association relationship with a child node of the current node, and performing intra prediction on occupation information of the child node of the current node based on the occupation information of the second number of neighbouring nodes to obtain a first prediction result.

Abstract: A method for intra prediction includes: enabling intra prediction, and determining occupancy information of a first number of neighboring nodes of a coded node; determining occupancy information of a second number of neighboring nodes of the coded node based on a position association between at least one neighboring node of the coded node and a child node of the coded node, where the first number is greater than the second number; and determining an occupancy prediction result of the child node of the coded node based on the occupancy information of the second number of neighboring nodes. An encoder for implementing the above method is also provided.

Abstract: A method and device for intra prediction are provided. The method includes: when determining that a current level obtained by partitioning an input point cloud is lower than a target level, obtaining occupation information of a first number of neighbouring nodes of a current node; extracting occupation information of a second number of neighbouring nodes from the occupation information of the first number of neighbouring nodes, the first number being greater than the second number, and the second number of neighbouring nodes being in an association relationship with a child node of the current node, and performing intra prediction on occupation information of the child node of the current node based on the occupation information of the second number of neighbouring nodes to obtain a first prediction result.

Abstract: A point cloud decoding method includes that: a decoder decodes a bitstream, and determines a mode parameter; in response to the mode parameter indicating to use a spatial scalability mode, the decoder determines geometric center coordinates of a current node, and determines, in the point cloud, geometric center coordinates of neighbouring nodes of the current node based on the geometric center coordinates of the current mode; the decoder determines local spatial coordinate means corresponding to the current node based on the geometric center coordinates of the current node and the geometric center coordinates of the neighbouring nodes; and the decoder determines reconstructed geometric information of the current node based on the local spatial coordinate means. Further, a decoder and a non-transitory computer-readable storage medium are also provided.

Abstract: A geometry reconstruction method performed by a decoder includes that a neighbouring node of a current node is determined based on location information of the current node; a factor of impact of the neighbouring node in direction along a preset axis on the current node is determined based on attribute information of the neighbouring node; a weight of the neighbouring node of the current node is determined; and coordinates of the current node after geometry reconstruction are determined based on the weight of the neighbouring node and the factor of impact of the neighbouring node in direction along the preset axis on the current node.

Abstract: A point cloud coding method is provided. The method includes the following. Occupancy bit information of neighbouring nodes of a current node is obtained. A context model is determined according to the occupancy bit information of the neighbouring nodes. Related information of the current node is entropy encoded with the context model and signalled into a bitstream, where the related information includes at least one of flag information of a single child node or coordinate information of the single child node.

Abstract: Embodiments of the present application provide an occupancy information prediction method, an encoder, a decoder, and a storage medium. The occupancy information prediction method comprises: when an encoder encodes geometrical information on the basis of an octree, determining encoding information corresponding to a neighboring node of a node to be predicted, and a distance parameter between a child node of the node to be predicted and the neighboring nodes; wherein the encoding information corresponding to the neighboring node comprises occupancy information; determining an occupancy weight corresponding to the child node of the node to be predicted according to the distance parameter, and the encoding information corresponding to the neighboring node; performing a prediction processing on the child node according to the occupancy weight and a preset occupancy threshold set to obtain a node type corresponding to the child node.

Abstract: A method and device for intra prediction are provided. The method includes: when determining that a current level obtained by partitioning an input point cloud is lower than a target level, obtaining occupation information of a first number of neighbouring nodes of a current node; extracting occupation information of a second number of neighbouring nodes from the occupation information of the first number of neighbouring nodes, the first number being greater than the second number, and the second number of neighbouring nodes being in an association relationship with a child node of the current node, and performing intra prediction on occupation information of the child node of the current node based on the occupation information of the second number of neighbouring nodes to obtain a first prediction result.

Abstract: A method for intra prediction includes: enabling intra prediction, and determining occupancy information of a first number of neighboring nodes of a coded node; determining occupancy information of a second number of neighboring nodes of the coded node based on a position association between at least one neighboring node of the coded node and a child node of the coded node, where the first number is greater than the second number; and determining an occupancy prediction result of the child node of the coded node based on the occupancy information of the second number of neighboring nodes. An encoder for implementing the above method is also provided.

Abstract: An intra prediction method and a decoder are provided. The method includes the following. Coordinate information of a current node and a current level corresponding to the current node are determined. A current quantity is determined based on the current level, where the current quantity is positively correlated with the current level. Current neighbour nodes are determined based on the coordinate information of the current node, where the current neighbour nodes are neighbour nodes of the current quantity among neighbour nodes of a parent node of the current node. Intra prediction is performed on the current node based on the coordinate information of the current node and the current neighbour nodes.

Abstract: Embodiments of the present application provide an occupancy information prediction method, an encoder, a decoder, and a storage medium. The occupancy information prediction method comprises: when an encoder encodes geometrical information on the basis of an octree, determining encoding information corresponding to a neighboring node of a node to be predicted, and a distance parameter between a child node of the node to be predicted and the neighboring nodes; wherein the encoding information corresponding to the neighboring node comprises occupancy information; determining an occupancy weight corresponding to the child node of the node to be predicted according to the distance parameter, and the encoding information corresponding to the neighboring node; performing a prediction processing on the child node according to the occupancy weight and a preset occupancy threshold set to obtain a node type corresponding to the child node.