233 citations · 557 across the 31 of their papers we have counts for
5 papers · 1 filter
QC-StyleGAN -- Quality Controllable Image Generation and Manipulation
Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh +2
The introduction of high-quality image generation models, particularly the StyleGAN family, provides a powerful tool to synthesize and manipulate images. However, existing models a…
Wavelet Diffusion Models are fast and scalable Image Generators
Hao Phung, Quan Dao, Anh Tran
Diffusion models are rising as a powerful solution for high-fidelity image generation, which exceeds GANs in quality in many circumstances. However, their slow training and inferen…
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis
Bach Tran, Binh-Son Hua, Anh Tuan Tran +1
Recently, great progress has been made in 3D deep learning with the emergence of deep neural networks specifically designed for 3D point clouds. These networks are often trained fr…
Monotonic Gaussian process for physics-constrained machine learning with materials science applications
Anh Tran, Kathryn Maupin, Theron Rodgers
Physics-constrained machine learning is emerging as an important topic in the field of machine learning for physics. One of the most significant advantages of incorporating physics…
Microstructure-sensitive uncertainty quantification for crystal plasticity finite element constitutive models using stochastic collocation methods
Anh Tran, Tim Wildey, Hojun Lim
Uncertainty quantification (UQ) plays a major role in verification and validation of computational engineering models and simulations, and establishes trust in the predictive capab…