Abstract: Methods and apparatuses of decoding a video stream encoded using video point cloud coding include obtaining a geometry-reconstructed point cloud; dividing the geometry-reconstructed point cloud into a plurality of cells, wherein a cell of the plurality of cells includes a first plurality of points; determining a plane representing the first plurality of points; generating a second plurality of points by projecting the first plurality of points onto the plane; obtaining a smoothed geometry-reconstructed point cloud based on the second plurality of points; and reconstructing a dynamic point cloud using the smoothed geometry-reconstructed point cloud.

Abstract: A method of interframe point cloud attribute decoding of video data is performed by at least one processor and includes: obtaining a first reconstructed residual; obtaining a quantization index of a second reconstructed residual; obtaining the second reconstructed residual, based on the obtained quantization index of the second reconstructed residual and the obtained first reconstructed residual; and obtaining a color attribute of a point of a point cloud by decoding the obtained second reconstructed residual or decoding a transform residual based on the obtained second reconstructed residual. The first reconstructed residual and the second reconstructed residual are each a reconstructed residual of a respective channel of the color attribute.

Abstract: A method of interframe point cloud attribute coding is performed by at least one processor and includes coding a first color attribute of a point of a point cloud to obtain a first reconstructed residual, coding a second color attribute of the point to obtain a second reconstructed residual, and determining a quantization index of the second reconstructed residual, based on the first reconstructed residual and the second reconstructed residual. The method further includes updating the second reconstructed residual, based on the quantization index and the first reconstructed residual.

Abstract: According to some aspects of the disclosure, processing circuitry for point cloud decompression can decode prediction information of an image from a coded bitstream corresponding to a point cloud. The prediction information indicates that the image includes a first portion corresponding to patches in the point cloud, and a second portion corresponding to missed points by the patches from the point cloud. The processing circuitry can scan the second portion of the image according to a non-jumpy scan to obtain the missed points in a sequence, and reconstruct the point cloud based on reconstructed patches corresponding to the patches and reconstructed missed points based on the sequence of the missed points.

Abstract: Systems and methods for encoding a video stream are provided. A method includes signaling partitioning information in a coded bitstream that is based on a point cloud. The coded bitstream may be a coded video stream that includes a frame of a plurality of two-dimensional (2D) pictures that are layers of the frame, each of the plurality of 2D pictures having a respective attribute of a same three-dimensional (3D) representation; frame partition information that indicates the frame is partitioned into a plurality of sub-frames, each of the plurality of sub-frames being a respective combination of a sub-region of each picture of the plurality of 2D pictures; and 3D bounding box information that specifies a 3D position corresponding to a sub-frame of the plurality of sub-frames.

Abstract: A method of adaptive point cloud attribute coding is performed by at least one processor and includes determining a centroid of k candidate points of a point cloud, k being a predetermined sampling rate of all points of the point cloud, and selecting one of the k candidate points that is closest to the centroid. The method further includes determining a first levels-of-detail (LoD) layer comprising the one of the k candidate points, and a second LoD layer without the one of the k candidate points, and performing coding of attributes of the all points, based on the first LoD layer and the second LoD layer.

Abstract: A method of interframe point cloud attribute decoding of video data is performed by at least one processor and includes: obtaining a first reconstructed residual; obtaining a quantization index of a second reconstructed residual; obtaining the second reconstructed residual, based on the obtained quantization index of the second reconstructed residual and the obtained first reconstructed residual; and obtaining a color attribute of a point of a point cloud by decoding the obtained second reconstructed residual or decoding a transform residual based on the obtained second reconstructed residual.

Abstract: A method and apparatus for decoding a video stream encoded using video point cloud coding, the decoding including obtaining a geometry-reconstructed point cloud based on one or more patches; identifying a first boundary of a patch including a plurality of first boundary points; identifying a second boundary including a plurality of second boundary points inside the first boundary; performing smoothing on the first boundary points and the second boundary points; obtaining a smoothed geometry-reconstructed point cloud based on the smoothed first boundary points and the smoothed second boundary points; and reconstructing a dynamic point cloud using the smoothed geometry-reconstructed point cloud.

Abstract: A method of video decoding performed in a video decoder includes receiving compressed geometric data corresponding to a three dimensional (3D) space. The method further includes generating a resolution occupancy map. The method further includes reconstructing a point cloud using the compressed geometric data and the resolution occupancy map. The method further includes performing a smoothing operation on one of the (i) reconstructed point cloud and (ii) the generated resolution occupancy map.

Abstract: A Method of decoding an encoded video bitstream using at least one processor includes: obtaining an encoded video bitstream, the encoded video bitstream including encoded color components; entropy parsing the encoded color components; dequantizing the color components and obtaining transform coefficients of the color components; applying a joint components secondary transform (JCST) on the transform coefficients of the color components, thereby generating JCST outputs; performing a backward transform on the JCST outputs, thereby obtaining residual components of the color components; and decoding the encoded video bitstream based on the residual components of the color components.

Abstract: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform obtaining a leaf node of geometry based point cloud compression (G-PCC) data, splitting the leaf node into a plurality of cuboids, deriving separate triangle soups for each of the cuboids, and coding a plurality of flags respectively for each of the edges of each of the cuboids, where the plurality of flags indicate whether vertices of the separate triangle soups are present on ones of the edges.

Abstract: A method of processing point cloud data at a decoder can include receiving three dimensional (3D) coordinates of a set of points of a point cloud including first points and a current point. Each of the first points can be associated with a reconstructed attribute value. A group of neighboring points of the current point can be determined from the first points. An indicator is received. The indicator indicates whether reconstruction of the current point in a prediction step in a lifting scheme is based on a weighted average prediction of the reconstructed attribute values of the plurality of neighboring points. The current point is reconstructed based on the received indicator.

Abstract: Systems and methods for decoding a video stream, a method includes receiving video stream, the video stream including: a frame of a plurality of two-dimensional (2D) pictures that are layers of the frame, each of the plurality of 2D pictures having a respective attribute of a same three-dimensional (3D) representation, frame partition information that indicates the frame is partitioned into a plurality of sub-frames, each of the plurality of sub-frames being a respective combination of a sub-region of each picture of the plurality of 2D pictures, and 3D bounding box information that specifies a 3D position corresponding to a sub-frame of the plurality of sub-frames; the method further includes identifying the sub-frame using the frame partition information; and decoding the sub-frame identified.

Abstract: In a method of point cloud geometry decoding in a point cloud decoder, chroma prediction residual information of a point in a set of points is received from a coded bitstream for a point cloud that includes the set of points. The chroma prediction residual information includes a Cb component and a Cr component. Further, a type of correlation between the Cb component and the Cr component of the chroma prediction residual information is determined by processing circuitry and from the coded bitstream for the point cloud. The chroma prediction residual information is decoded based on the type of the correlation between the Cb component and the Cr component of the chroma prediction residual information.

Abstract: A method of dynamic point cloud partition packing is by at least one processor and includes obtaining one or more region of interest (ROI) patches from an ROI of a point cloud, and attempting to pack, into one among tiles of a tile map, one among the obtained one or more ROI patches, in a tile scan order. The method further includes identifying whether the one among the one or more ROI patches is packed successfully into the one among the tiles, and based on the one among the one or more ROI patches being determined to be not packed successfully into the one among the tiles, chunking the one among the one or more ROI patches into multiple ROI patches.

Abstract: A method of point cloud geometry decoding in a point cloud decoder is provided. In the method, first signaling information is received from a coded bitstream for a point cloud that includes a set of points in a three-dimensional (3D) space. The first signaling information indicates partition information of the point cloud. Second signaling information is determined based on the first signaling information indicating a first value. The second signaling information is indicative of a partition mode of the set of points in the 3D space. Further, the partition mode of the set of points in the 3D space is determined based on the second signaling information. The point cloud is reconstructed subsequently based on the partition mode.

Abstract: A method of video decoding performed in a video decoder includes receiving compressed geometric data corresponding to a three dimensional (3D) space. The method further includes receiving a low resolution occupancy map associated with the data cloud. The method further includes converting the low resolution occupancy map to a high resolution occupancy map. The method further includes reconstructing a point cloud using the compressed geometric data and the high resolution occupancy map. The method further includes performing a smoothing operation on one of the (i) reconstructed point cloud and (ii) the high resolution occupancy map.

Abstract: A method of adaptive point cloud attribute coding is performed by at least one processor and includes determining a centroid of k candidate points of a point cloud, k being a predetermined sampling rate of all points of the point cloud, and selecting one of the k candidate points that is closest to the centroid. The method further includes determining a first levels-of-detail (LoD) layer comprising the one of the k candidate points, and a second LoD layer without the one of the k candidate points, and performing coding of attributes of the all points, based on the first LoD layer and the second LoD layer.

Abstract: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform receiving video data in an AOMedia Video 1 (AV1) format comprising data of at least two chroma prediction-residual signal blocks, a transformation between at least one signal block, having a size less than or equal to a combination of the chroma prediction-residual signal blocks, and the chroma prediction-residual signal blocks, and decoding the video data based on an output of the transformation comprising the at least one signal block having the size less than or equal to the combination of the chroma prediction-residual blocks.

Abstract: A method and apparatus for decoding a video stream encoded using video point cloud coding, the decoding including obtaining a geometry-reconstructed point cloud based on one or more patches; identifying a first boundary of a patch including a plurality of first boundary points; identifying a second boundary including a plurality of second boundary points inside the first boundary; performing smoothing on the first boundary points and the second boundary points; obtaining a smoothed geometry-reconstructed point cloud based on the smoothed first boundary points and the smoothed second boundary points; and reconstructing a dynamic point cloud using the smoothed geometry-reconstructed point cloud.