Robo‐Saber: Generating and Simulating Virtual Reality Players
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim +5 more
wiley +1 more source
ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking. [PDF]
Hsu CY +4 more
europepmc +1 more source
A Texture‐Free Multi‐Scale Model for Surface‐Based Rendering of Knitted Fabrics
Abstract Knitted fabrics present unique challenges for realistic rendering due to their complicated structure and scale‐dependent appearance. Existing methods typically rely on explicit yarn geometry, which is computationally complex, or texture‐based representations that require heavy storage and precomputed maps. In this paper, we introduce the first
Apoorv Khattar +3 more
wiley +1 more source
Transformer graph variational autoencoder for generative molecular design. [PDF]
Nguyen T, Karolak A.
europepmc +1 more source
High‐Gloss SVBRDF Capture Using Bounce Light
Abstract Reflectance capture aims at the visual reproduction of an object under varying illumination. Past works differ substantially in their experimental overhead, from single‐ or few‐image approaches, that employ significant (often learned) priors at the expense of biased reconstructions, to more accurate approaches that tend to be time‐consuming ...
Tomáš Iser +2 more
wiley +1 more source
MultiCOIN: Multi‐Modal COntrollable INbetweening
Abstract Video inbetweening creates smooth transitions between two frames making it an indispensable tool for video editing and longform video synthesis. Existing methods struggle with large or complex motion and offer limited control over intermediate frames, often misaligning with user intent.
M. Tanveer +6 more
wiley +1 more source
Novel cancer subtyping method guided by tumor-normal sample in latent space of transcriptomic variational autoencoder. [PDF]
Wang H, Zhang Y, Zhang D, Luo M.
europepmc +1 more source
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
wiley +1 more source
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network. [PDF]
Rico JC +4 more
europepmc +1 more source
Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder. [PDF]
Tan O +14 more
europepmc +1 more source

