Current keywords: deep learning, machine learning, machine learning for visual computing, generative modeling, 3D generative modeling, generative diffusion models, generative adverserial networks, unsupervised learning, 3D computer vision, 3D reconstruction, 3D vision and language, neural fields, inverse problems, depth prediction, laser scanning, layout synthesis, shape modeling, sampling, image and video editing using generative models
Additional keywords for current or past research: urban planning, computational design, procedural modeling, interactive editing, geometry processing, architectural geometry, geo-spatial visualization, surface sampling, surface remeshing, image analysis, texture synthesis, texture analysis, lighting design, machine learning for graphics, applications, optimization, deep learning
Keywords - example tools used in previous research: machine learning, deep learning, more deep learning, diffusion, generative adverserial networks, graphical models, gaussian process regression, optimization, integer programming, mixed integer programming, ADMM, quadratic programing, heuristic optimization, quadratic assignment, functional maps, graph-cuts