arXiv research

When creating an outfit, style is a criterion in selecting each fashion item. This means that style can be regarded as a feature of the overall outfit. However, in various previous studies on outfit generation, there have been few methods focusing on global information obtained from an outfit. To address this deficienc…

Paper generates high-resolution fashion images based on body pose.

Generates outfits for e-commerce using neural networks.

Generates detailed fashion feedback from outfit images.

Outfittery uses machine learning to help stylists choose appropriate fashion items.

A novel method to prevent bias in authentication models.

Aims to eliminate domain bias in authentication without domain labels.

Early classification improves satellite-based crop type identification.

JIMA uses multi-level preference data to recommend composite items.

Low-cost device diagnoses diseases using deep learning.

Paper defines generalized braids and proves their subgroup status.

Defines a new Poisson structure for generalized Sasakian spaces.

Characterizes integrability of generalized structures on Courant algebroids.

Improved image generation through iterative flow matching to reduce hallucinations.

Plug-and-play multimodal controller improves class-conditional image generation.

Framework generates personalized insulin treatment strategies using deep models.

The study addresses exposure bias in generative models, proposing unconditional generation as a solution.

Survey on deep models for graph generation.

OptiGAN uses GAN and RL to optimize sequence generation for specific goals.

Improves deep generative models to generate images of any size.

Develops a unified theory of Yang-Mills and GR using generalized principal bundles.

Meta-CoTGAN improves adversarial text generation by preventing mode collapse.

Generative models can still learn from contaminated data, but with limitations.

Generative models use EOT cost for better image generation.

Generative AI tasks analyzed for text, images, audio, video, code, and molecules.

Study metallic structures on generalized tangent bundles.

New method learns text generation orders without pre-specification.

Defines Kahler angle for a broader context.

Established a generalized Boothby-Wang theorem in contact geometry.

The twistor construction for Riemannian manifolds is extended to the case of manifolds endowed with generalized metrics (in the sense of generalized geometry à la Hitchin). The generalized twistor space associated to such a manifold is defined as the bundle of generalized complex structures on the tangent spaces of the…

This research proves guarantees on sequence models' generalization to longer and novel sequences.

SHADOWCAST generates graphs with user-specified attributes.

In this paper we define the notion of a generalized coKähler structure and prove that the product $M_{1}\times M_{2}$ of generalized contact metric manifolds $(M_i, Φ_i,E_{\pm,i}, G_i)$, $i=1, 2$, where $M_{1}\times M_{2}$ is endowed with the product generalized complex structure induced from $Φ_1$ and $Φ_2$, is gener…

Paper analyzes and improves GANs' generalization and stability.

In this communication, we describe some interrelations between generalized $q$-entropies and a generalized version of Fisher information. In information theory, the de Bruijn identity links the Fisher information and the derivative of the entropy. We show that this identity can be extended to generalized versions of en…

We define the generalized connected sum for generic closed plane curves, generalizing the strange sum defined by Arnold, and completely describe how the Arnold invariants $J^{\pm}$ and $\mathit{St}$ behave under the generalized connected sums.

Proposes models to generate more interesting story endings.

A new method generates graphs with hierarchical structures.

The paper extends symplectic techniques to generalized complex geometry.

A new method for generating sets and graphs without requiring exchangeability.

DeepWeightFlow generates diverse neural network weights efficiently.

Generative concept representations improve deep learning by handling uncertainty and integrating learning and reasoning.

Style generators can invertibly generate images, useful for image enhancement and animation.

Generalized tensor analysis in the sense of Colombeau's construction is employed to introduce a nonlinear distributional pseudo-Riemannian geometry. In particular, after deriving several characterizations of invertibility in the algebra of generalized functions we define the notions of generalized pseudo-Riemannian met…

It is known that the scalar curvature arises as the moment map in Kahler geometry. In pursuit of this analogy, we introduce the notion of a moment map in generalized Kahler geometry which gives the definition of a generalized scalar curvature on a generalized Kahler manifold. From the viewpoint of the moment map, we ob…

We characterize language generation with stability and breadth, proving impossibility results.

This is an expository paper, which provides a first introduction to geometric structures on $TM\oplus T^*M$. The paper contains definitions and characteristic properties of generalized complex, generalized Kaehler, generalized (normal, almost) contact and generalized Sasakian structures. A few of these properties are n…

Rate GENERIC extends thermodynamics principles to non-equilibrium systems.