8 citations · 15 across the 6 of their papers we have counts for
6 papers
GenN2N: Generative NeRF2NeRF Translation
Xiangyue Liu, Han Xue, Kunming Luo +2
We present GenN2N, a unified NeRF-to-NeRF translation framework for various NeRF translation tasks such as text-driven NeRF editing, colorization, super-resolution, inpainting, etc…
Collisional alignment and molecular rotation control chemi-ionization of individual conformers
L. Ploenes, P. Straňák, A. Mishra +3
The relationship between the shape of a molecule and its chemical reactivity is a central tenet in chemistry. However, the influence of the molecular geometry on reactivity can be…
Spectroscopic constants from atomic properties: a machine learning approach
Mahmoud A. E. Ibrahim, X. LiU, J. Pérez-Ríos
We present a machine-learning approach toward predicting spectroscopic constants based on atomic properties. After collecting spectroscopic information on diatomics and generating…
Molecular dynamics-driven global tetra-atomic potential energy surfaces: Application to the AlF dimer
Xiangyue Liu, Weiqi Wang, Jesús Pérez-Ríos
In this work, we present a general machine learning approach for full-dimensional potential energy surfaces for tetra-atomic systems. Our method employs an active learning scheme t…
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Wentao Yuan, Qingtian Zhu, Xiangyue Liu +3
Recently, Implicit Neural Representations (INRs) parameterized by neural networks have emerged as a powerful and promising tool to represent different kinds of signals due to its c…
Spectroscopic characterization of the a state of aluminum monofluoride
Nicole Walter, Maximilian Doppelbauer, Silvio Marx +6
Spectroscopic studies of aluminum monofluoride (AlF) have revealed its highly favorable properties for direct laser cooling. All lines of the strong A X$^1Σ^+…