D, high-resolution, real-topography models that could provide a more precise path of totality for the next total solar eclipse.

This repository provides the implementation and resources for SSAI-3D (Nature Communications 2025), a deep learning framework for achieving high-fidelity isotropic 3D resolution recovery in microscopy ...

Rohbau3D is the first comprehensive 3D point cloud dataset capturing indoor construction environments, enhancing research in ...

The IIT JAM Biotechnology syllabus is designed to test a candidate's core knowledge and understanding of key Biotechnology topics, such as General Biology, Microbial, Plant and Animal Biotechnology, ...

Abstract: We introduce PhysGaussian, a new method that seamlessly integrates physically grounded Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis. Employing a ...

They need to improve the physics-based models. Clearly, when AI can make better predictions where physics models fall behind, then scientists need to look at the AI predictions, and ask the question, ...

Abstract: We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos. Our focus lies in capturing coherent spatial placement between pairs of individuals across ...

Abstract: In this paper, we aim to model 3D scene geometry, appearance, and the underlying physics purely from multi-view videos. By applying various governing PDEs as PINN losses or incorporating ...