12 citations · 24 across the 42 of their papers we have counts for
43 papers
Direct Topology Tracking in Continuous Implicit Models
Guanqun Ma, David Lenz, Kaiyuan Tang +4
We present a framework for tracking topological features directly within continuous implicit models. Such models, including implicit neural representations (INRs) and multivariate…
Super-Gaussian: Interactive Scene Editing for 3D Gaussian Splatting and NLI-Based Volume Visualization in Virtual Reality
Suemin Jeon, Kaiyuan Tang, Chaoli Wang +1
Despite the promise of virtual reality (VR) for intuitive spatial interaction, volume visualization (VolVis) in VR remains constrained by high rendering costs and motion discomfort…
ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization
Kaiyuan Tang, Chaoli Wang
Recent advances in differentiable Gaussian splatting have highlighted the potential of primitive-based approaches as alternative scene representations for interactive, high-quality…
EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database
Kaiyuan Tang, Maizhe Yang, Chaoli Wang
Large-scale scientific simulations generate volumetric data at rates that far outpace advances in storage and network bandwidth, making effective lossy compression increasingly cri…
Lossless-INR: Lossless Volumetric Implicit Neural Representations
Kaiyuan Tang, Daniel Burke, Chaoli Wang
Implicit neural representation (INR) methods provide continuous coordinate-to-value mappings and integrate naturally with direct volume rendering, making them attractive for repres…
Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy
Patrick Phuoc Do, Chau M. Ta, Chaoli Wang
Multimodal large language models (MLLMs) are increasingly used to interpret visualizations, yet current evaluations remain largely chart-centric and provide limited evidence of und…