5 papers
Meshy T2: Fast Native Mesh Generation with Flow Matching
Jiale Xu, Rendong Liang, Yuhao Long +5
Polygonal meshes are the standard surface representation of modern 3D pipelines, and generating high-quality meshes with artist-style topology is essential for film, gaming, and in…
Neural Modular Physics for Elastic Simulation
Yifei Li, Haixu Wu, Zeyi Xu +2
Learning-based methods have made significant progress in physics simulation, typically approximating dynamics with a monolithic end-to-end optimized neural network. Although these…
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
Zeyi Xu, Jinfan Liu, Kuangxu Chen +3
Accurately and efficiently simulating complex fluid dynamics is a challenging task that has traditionally relied on computationally intensive methods. Neural network-based approach…
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs
Yunling Zheng, Zeyi Xu, Fanghui Xue +5
We propose and demonstrate an alternating Fourier and image domain filtering approach for feature extraction as an efficient alternative to build a vision backbone without using th…
Learning Physical Simulation with Message Passing Transformer
Zeyi Xu, Yifei Li
Machine learning methods for physical simulation have achieved significant success in recent years. We propose a new universal architecture based on Graph Neural Network, the Messa…