Abstract: A neural human performance capture framework (MVS-PERF) captures the skeleton, body shape and clothes displacement, and appearance of a person from a set of calibrated multiview images. It addresses the ambiguity of predicting the absolute position in monocular human mesh recovery, and bridges the volumetric representation from NeRF to animation-friendly performance capture. MVS-PERF includes three modules to extract feature maps from multiview images and fuse them to a feature volume, regress the feature volume to a naked human parameters vector, generating an SMPL-X skin-tight body mesh with a skeletal pose, body shape, and expression, and leverage a neural radiance field and a deformation field to infer the clothes as the displacement on the naked body using differentiable rendering. Clothed body mesh is obtained by adding the interpolated displacement vectors to the SMPL-X skin-tight body mesh vertices. The obtained radiance field is used for free-view volumetric rendering of the input subject.

Abstract: Assays using nanoparticle probes can be used to detect a target oligonucleotide with digital resolution by measuring the peak wavelengths and/or peak intensities of resonantly reflected light from locations on the surface of a photonic crystal (PC). The PC is functionalized with a capture oligonucleotide that binds to a nanoparticle probe that has bound to the target analyte. The binding of the nanoparticle probe to the PC shifts the peak wavelength and reduces the peak intensity of the resonantly reflected light at the binding location. An example nanoparticle probe includes a metallic nanoparticle conjugated to a probe oligonucleotide bound to a protector oligonucleotide. The probe oligonucleotide includes a first portion complementary to the target oligonucleotide and a second portion complementary to the capture oligonucleotide.