A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Abstract: Giving machines the ability to infer the complete 3D geometry and semantics of complex scenes is crucial for many downstream tasks, such as decision-making and planning. Vision-centric ...

Paint3D is a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured 3D meshes conditioned on text or image ...

Abstract: Point-cloud processing for extracting geometric features is difficult due to the highly non-linear rotation variance and measurement noise corrupting the data. To address these challenges, ...

Text-to-CAD tools are beginning to generate useful 3D models from prompts, but the most important missing feature is not geometry — it is intent.

Researchers identify fabrication constraints, reinforcement integration, sensing, and quality control as key factors in ...

Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...

By Harrison Tasoff, UCSB Artificial intelligence is becoming increasingly vital to everyday activities across diverse sectors of society, from AI assistants to autonomous vehicles to healthcare. But ...

nblade (N-dimensional Blade) is a high-performance geometric algebra library powered by Rust, with Python bindings. It supports arbitrary dimensions and arbitrary metric signatures G(p, q, r).