A dual‐space multilevel kernel‐splitting framework for discrete and continuous convolution [PDF]
We introduce a new class of multilevel, adaptive, dual‐space methods for computing fast convolutional transformations. These methods can be applied to a broad class of kernels, from the Green's functions for classical partial differential equations (PDEs)
L. Greengard, Shidong Jiang
semanticscholar +1 more source
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing [PDF]
Recent advances like StyleGAN have promoted the growth of controllable facial editing. To address its core challenge of attribute decoupling in a single latent space, attempts have been made to adopt dual-space GAN for better disentanglement of style and
Yanbo Xu +7 more
semanticscholar +1 more source
Dual Space Graph Contrastive Learning [PDF]
Unsupervised graph representation learning has emerged as a powerful tool to address real-world problems and achieves huge success in the graph learning domain.
Haoran Yang +5 more
semanticscholar +1 more source
Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces [PDF]
Modeling the human body in a canonical space is a common practice for capturing and animation. But when involving the neural radiance field (NeRF), learning a static NeRF in the canonical space is not enough because the lighting of the body changes when ...
Yihao Zhi +3 more
semanticscholar +1 more source
Relativistic separable dual-space Gaussian pseudopotentials from H to Rn [PDF]
We generalize the concept of separable dual-space Gaussian pseudopotentials to the relativistic case. This allows us to construct this type of pseudopotential for the whole Periodic Table, and we present a complete table of pseudopotential parameters for
C. Hartwigsen, S. Goedecker, J. Hutter
semanticscholar +1 more source
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection [PDF]
This study addresses the issue of fusing infrared and visible images that appear differently for object detection. Aiming at generating an image of high visual quality, previous approaches discover commons underlying the two modalities and fuse upon the ...
Jinyuan Liu +6 more
semanticscholar +1 more source
Dual Space Preconditioning for Gradient Descent [PDF]
The conditions of relative smoothness and relative strong convexity were recently introduced for the analysis of Bregman gradient methods for convex optimization.
Chris J. Maddison +3 more
semanticscholar +1 more source
NEW APPROACHES ON DUAL SPACE [PDF]
In this paper, we give how to define the basic concepts of differential geometry on Dual space. For this, dual tangent vectors that have p as dual point of application are defined. Then, the dual analytic functions defined by Dimentberg are examined in detail, and by using the derivative of the these functions, dual directional derivatives and dual ...
Durmaz, Olgun +2 more
openaire +4 more sources
Max-plus fundamental solution semigroups for a class of difference Riccati equations [PDF]
Recently, a max-plus dual space fundamental solution semigroup for a class of difference Riccati equation (DRE) has been developed. This fundamental solution semigroup is represented in terms of the kernel of a specific max-plus linear operator that ...
Dower, Peter M., Zhang, Huan
core +2 more sources
LW∗W-property and topological centers of banach algebras [PDF]
In this paper we introduce the new concepts LW∗Wproperty and RW∗W-property for a Banach algebra A. Under certain conditions, we show that if A has LW∗W-property and RW∗W- property, then A is Arens regular.
K. Haghnejad Azar
doaj +1 more source

