198 citations · 519 across the 7 of their papers we have counts for
7 papers
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
Qiang Liu, Nils Thuerey
Leveraging neural networks as surrogate models for turbulence simulation is a topic of growing interest. At the same time, embodying the inherent uncertainty of simulations in the…
TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates
You Xie, Huiqi Mao, Angela Yao +1
We propose a novel approach to generate temporally coherent UV coordinates for loose clothing. Our method is not constrained by human body outlines and can capture loose garments a…
Data-driven Regularization via Racecar Training for Generalizing Neural Networks
You Xie, Nils Thuerey
We propose a novel training approach for improving the generalization in neural networks. We show that in contrast to regular constraints for orthogonality, our approach represents…
A Multi-Pass GAN for Fluid Flow Super-Resolution
Maximilian Werhahn, You Xie, Mengyu Chu +1
We propose a novel method to up-sample volumetric functions with generative neural networks using several orthogonal passes. Our method decomposes generative problems on Cartesian…
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
Mengyu Chu, You Xie, Jonas Mayer +2
Our work explores temporal self-supervision for GAN-based video generation tasks. While adversarial training successfully yields generative models for a variety of areas, temporal…
tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow
You Xie, Aleksandra Franz, Mengyu Chu +1
We propose a temporally coherent generative model addressing the super-resolution problem for fluid flows. Our work represents a first approach to synthesize four-dimensional physi…