724 citations · 1.3k across the 25 of their papers we have counts for
4 papers · 1 filter
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A Faroughi, Nikhil Pawar, Celio Fernandes +4
Recent breakthroughs in computing power have made it feasible to use machine learning and deep learning to advance scientific computing in many fields, including fluid mechanics, s…
Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding
Pedro Figueirêdo, Avinash Paliwal, Nima Khademi Kalantari
In this paper, we propose an algorithm to interpolate between a pair of images of a dynamic scene. While in the past years significant progress in frame interpolation has been made…
TileGen: Tileable, Controllable Material Generation and Capture
Xilong Zhou, Miloš Hašan, Valentin Deschaintre +3
Recent methods (e.g. MaterialGAN) have used unconditional GANs to generate per-pixel material maps, or as a prior to reconstruct materials from input photographs. These models can…
Differentiable Simulation of Inertial Musculotendons
Ying Wang, Jasper Verheul, Sang-Hoon Yeo +2
We propose a simple and practical approach for incorporating the effects of muscle inertia, which has been ignored by previous musculoskeletal simulators in both graphics and biome…