Abstract: Transferring pose to three-dimensional characters is a common computer graphics task that typically involves transferring the pose of a reference avatar to a (stylized) three-dimensional character. Since three-dimensional characters are created by professional artists through imagination and exaggeration, and therefore, unlike human or animal avatars, have distinct shape and features, matching the pose of a three-dimensional character to that of a reference avatar generally requires manually creating shape information for the three-dimensional character that is required for pose transfer. The present disclosure provides for the automated transfer of a reference pose to a three-dimensional character, based specifically on a learned shape code for the three-dimensional character.

Abstract: The present application provides a novel coronavirus antibody detection kit based on magnetic particle chemiluminescence. The detection kit includes: streptavidin magnetic particles, biotin-labeled novel coronavirus antigens, an acridine sulfonamide-labeled secondary antibody, a sample diluent and a quality control material; wherein the biotin-labeled novel coronavirus antigens include a recombinant nucleocapsid protein and a recombinant spike protein S1. The sample to be tested, the biotin-labeled antigens and the streptavidin magnetic particles are mixed, incubated and washed, and then the acridine sulfonamide-labeled antibody is added to form a magnetic particle-streptavidin-biotin-antigen-novel coronavirus antibody-secondary antibody complex, and then the luminous intensity is detected to qualitatively determine the sample to be tested.

Abstract: A network for neural pose transfer includes a pose feature extractor, and a style transfer decoder, wherein the pose feature extractor comprises a plurality of sequential extracting stacks, each extracting stack consists of a first convolution layer and an Instance Norm layer sequential to the first convolution layer. The style transfer decoder comprises a plurality of sequential decoding stacks, a second convolution layer sequential to the plurality of decoding stacks and a tan h layer sequential to the second convolution layer. Each decoding stack consists of a third convolution layer and a SPAdaIn residual block. A source pose mesh is input to the pose feature extractor, and an identity mesh is concatenated with the output of the pose feature extractor and meanwhile fed to each SPAdaIn residual block of the style transfer decoder. A system thereof is also provided.