most citedText2Structure3D: Graph-Based Generative Modeling of Equilibrium Structures with Diffusion Transformers

1 citations

5 papers

cs.GR2026

ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation

Kaifeng Zhao, Mathis Petrovich, Haotian Zhang +3

Generating realistic 3D human motions in real-time within interactive applications is key for animation, simulation, and humanoid robotics. While recent offline motion generation a…

cs.CV2026

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration

Abhijeet Parida, Antonia Alomar, Zhifan Jiang +7

Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-spe…

astro-ph.IM2026

A 3D-Printed Millimeter-Wave Inline Waveguide-to-Coplanar-Waveguide Transition to Enable Dense Spectrometer Arrays for Intensity Mapping Surveys

Austin Stover, Juliang Li, Peter Sharpe +4

We present a 3D-printed millimeter-wave, octave-bandwidth, in-line waveguide-to-coplanar-waveguide transition designed to enable focal planes with dense arrays of on-chip spectrome…

cs.CE20261 cited

Text2Structure3D: Graph-Based Generative Modeling of Equilibrium Structures with Diffusion Transformers

Lazlo Bleker, Zifeng Guo, Kaleb E. Smith +3

This paper presents Text2Structure3D, a graph-based Machine Learning (ML) model that generates equilibrium structures from natural language prompts. Text2Structure3D is designed to…

cs.GR2026

A Generalizable Light Transport 3D Embedding for Global Illumination

Bing Xu, Mukund Varma T, Cheng Wang +5

Global illumination (GI) is essential for realistic rendering but remains computationally expensive due to the complexity of simulating indirect light transport. Recent neural meth…