Abstract: A point cloud coding method, a point cloud decoding method and a related device. The point cloud coding method in an example of the present disclosure includes: determining a distribution characteristic value, where the distribution characteristic value is configured to denote distribution characteristic information of to-be-coded attribute information; determining, based on the distribution characteristic value, a target order corresponding to the to-be-coded attribute information, where the target order is an order of exponential-Golomb coding; and entropy-coding the to-be-coded attribute information based on an exponential-Golomb coding algorithm of the target order, and obtaining an attribute code stream.

Abstract: A point cloud encoding and decoding method and apparatus, and pertains to the field of point cloud processing technologies. The point cloud encoding method in embodiments of this application includes: An encoder determines, based on attribute information of target point cloud, a target attribute information distribution characteristic value corresponding to a target bit rate point, where the target bit rate point is a bit rate point corresponding to an attribute quantization step of the attribute information; the encoder determines a target run-length encoding manner based on the target attribute information distribution characteristic value; and the encoder performs encoding processing on the attribute information based on the target run-length encoding manner.

Abstract: This application discloses a point cloud attribute coding method, a point cloud decoding method, and a terminal. The point cloud attribute coding method according to an embodiment of this application includes: obtaining, by an encoder side, a to-be-coded point cloud, where the to-be-coded point cloud includes at least one type of attribute information; determining, by the encoder side, a target ordering manner of the to-be-coded point cloud based on an initial order corresponding to the to-be-coded point cloud or based on the initial order and density corresponding to the to-be-coded point cloud; and coding, by the encoder side, the to-be-coded point cloud according to the target ordering manner.

Abstract: This application discloses an attribute quantization and dequantization method and apparatus, and a device. The attribute quantization method in embodiments of this application includes: A first device determines a quantization correction factor based on target information, where the target information includes at least one of geometric information or attribute information of a target point cloud, and the quantization correction factor is used to perform correction on a target quantization step size. The first device performs correction on the target quantization step size based on the quantization correction factor, to obtain a corrected quantization step size, and performs quantization processing on the target point cloud based on the corrected quantization step size.

Abstract: A point cloud attribute coding method, a point cloud attribute decoding method, and a terminal are provided. The point cloud attribute coding method includes: obtaining a to-be-coded point cloud; partitioning the to-be-coded point cloud into at least one to-be-coded point cloud block based on the number of to-be-coded points included in the to-be-coded point cloud, volume information of a bounding box corresponding to the to-be-coded point cloud, and an order of each to-be-coded point; for each to-be-coded point cloud block including at least two to-be-coded points, partitioning the to-be-coded point cloud block into N to-be-coded point cloud groups based on the number of to-be-coded points included in the to-be-coded point cloud block and a preset maximum transform order; performing transform coding and quantization processing on first residual information corresponding to a first target to-be-coded point cloud group, to obtain a quantized first transform coefficient.

Abstract: A point cloud attribute information encoding method includes: obtaining first information; determining, based on second information associated with the first information, whether to perform DCT transform on K to-be-coded points; in a case that it is determined to perform DCT transform on the K to-be-coded points, performing DCT transform on the K to-be-coded points to obtain a transform coefficient of the K to-be-coded points; and quantizing the transform coefficient of the K to-be-coded points and performing entropy coding based on a quantized transform coefficient, to generate a binary bit stream. The first information includes the K to-be-coded points and the second information includes attribute prediction information for the K to-be-coded points; or the first information includes N coded points prior to the K to-be-coded points and the second information includes attribute reconstruction information for the N coded points.