Papers Geometry-based operator learning

“Geometry-based operator learning” 태그가 달린 논문 2편 · 필터 해제

DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshes

2025-01-06 · Xuyang Wang, Ziang Cheng, Zhenyu Li, Jiayu Yang 외

This paper addresses the problem of generating textures for 3D mesh assets. Existing approaches often rely on image diffusion models to generate multi-view image observations, which are then transformed onto the mesh sur…

3D Surface Generation Geometry-based operator learning Latent Diffusion Model for 3D Texture Synthesis

Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving

2024-08-05 · Varun Kumar, Somdatta Goswami, Katiana Kontolati, Michael D. Shields 외

Multi-task learning (MTL) is an inductive transfer mechanism designed to leverage useful information from multiple tasks to improve generalization performance compared to single-task learning. It has been extensively exp…

Geometry-based operator learning Multi-Task Learning Operator learning Transfer Learning