3 papers
cs.GR2025
Real-Time Scene Reconstruction using Light Field Probes
Yaru Liu, Derek Nowrouzezahri, Morgan Mcguire
Reconstructing photo-realistic large-scale scenes from images, for example at city scale, is a long-standing problem in computer graphics. Neural rendering is an emerging technique…
cs.LG2025
Layer Separation Deep Learning Model with Auxiliary Variables for Partial Differential Equations
Yaru Liu, Yiqi Gu
In this paper, we propose a new optimization framework, the layer separation (LySep) model, to improve the deep learning-based methods in solving partial differential equations. Du…
cs.LG2025
Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables
Yaru Liu, Yiqi Gu, Michael K. Ng
In this paper, we develop a new optimization framework for the least squares learning problem via fully connected neural networks or physics-informed neural networks. The gradient…