- NVIDIA researchers unveiled GET3D, a generative model that creates 3D meshes that are explicitly texturized and have complicated topologies as well as rich geometrical details and high-fidelity textures. To train their model from sets of 2D images, they used current advances in differentiable surface modeling, differentiable rendering, and 2D generative adversarial networks. With substantial advancements over earlier techniques, GET3D can produce high-quality 3D textured meshes of a variety of objects, including vehicles, chairs, animals, motorcycles, and human characters and structures.
- An end-to-end 3D reconstruction method for a scene was provided by Magic Leap researchers by immediately regressing a truncated signed distance function (TSDF) from a collection of posed RGB photos. Prior to constructing a complete 3D model of a scene, traditional approaches to 3D reconstruction relied on an intermediate representation of depth maps. They proposed that a direct transition to 3D is preferable.
- The community of tissue engineers now has a mechanism for organizing cells and biological materials into intricate 3D structures thanks to the use of 3D printing in biological research. Despite the fact that there are numerous commercial bioprinting platforms, their prices are expensive, ranging from $5000 to over $1,000,000. Scientists from Carnegie Mellon University used their Replistruder 4 syringe pump and the Duet3D Duet 2 WiFi for a total cost of less than $900 to transform a low-cost 3D printer, the FlashForge Finder, into a bioprinter. They printed square lattice collagen scaffolds with an average error rate of less than 2%, demonstrating that the bioprinter's travel accuracy is greater than 35 m in all three axes.
- A specialty-wide reaction to COVID-19 was discussed by a group of vice-chairs of research that the RSNA organized, and a paper summarizing the results was published.?The paper offers study trends found in a focused literature review, together with ideas and methods the group learned and recorded during the early, middle, and late periods of the public health emergency.
