activity
20172026
most citedA Generative Model for Volume Rendering

94 citations · 96 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CG2026

Topology-Preserving Meshing of Implicit Scalar Fields via Monotonicity Constraints

Tanner Finken, Jixian Li, Bei Wang +2

Topological analysis of scalar fields yields structures such as the Morse-Smale complex (MSC) that summarize salient features across multiple scales. Existing MSC extraction algori…

cs.HC2026

May (A)I Beautify Your Visualization? Expert Judgments of Acceptable Aesthetic Alterations

Kalina Borkiewicz, Jixian Li, Joshua A. Levine +1

In 3D visualizations of natural phenomena, improving aesthetics can provide measurable benefits, but often involves transformations that affect how the data is perceived. As a grow…

cs.GR2024

Text-based Transfer Function Design for Semantic Volume Rendering

Sangwon Jeong, Jixian Li, Christopher Johnson +2

Transfer function design is crucial in volume rendering, as it directly influences the visual representation and interpretation of volumetric data. However, creating effective tran…

cs.HC2022

Autoencoder-Aided Visualization of Collections of Morse Complexes

Jixian Li, Danielle Van Boxel, Joshua A. Levine

Though analyzing a single scalar field using Morse complexes is well studied, there are few techniques for visualizing a collection of Morse complexes. We focus on analyses that ar…

cs.DB2018★ 2 cited

NeuralCubes: Deep Representations for Visual Data Exploration

Zhe Wang, Dylan Cashman, Mingwei Li +5

Visual exploration of large multidimensional datasets has seen tremendous progress in recent years, allowing users to express rich data queries that produce informative visual summ…

cs.GR2017★ 94 cited

A Generative Model for Volume Rendering

Matthew Berger, Jixian Li, Joshua A. Levine

We present a technique to synthesize and analyze volume-rendered images using generative models. We use the Generative Adversarial Network (GAN) framework to compute a model from a…