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Found 7 papers, 0 papers with code
Feature Selection Based on Orthogonal Constraints and Polygon Area
To address this problem, this paper introduces a novel orthogonal regression model incorporating the area of a polygon.
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation
The goal of a speech-to-image transform is to produce a photo-realistic picture directly from a speech signal.
Optimized latent-code selection for explainable conditional text-to-image GANs
In this paper, we present a variety of techniques to take a deep look into the latent space and semantic space of the conditional text-to-image GANs model.
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs
3) How to improve the explainability of a text-to-image generation framework?
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
In this paper, we present an efficient and effective single-stage framework (DiverGAN) to generate diverse, plausible and semantically consistent images according to a natural-language description.
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
Most existing text-to-image generation methods adopt a multi-stage modular architecture which has three significant problems: 1) Training multiple networks increases the run time and affects the convergence and stability of the generative model; 2) These approaches ignore the quality of early-stage generator images; 3) Many discriminators need to be trained.
Experimental realization of nonadiabatic geometric gates with a superconducting Xmon qubit
Based on different geometric phases, various quantum gates have been proposed, such as nonadiabatic geometric gates based on nonadiabatic Abelian geometric phases and nonadiabatic holonomic gates based on nonadiabatic non-Abelian geometric phases.
Quantum Physics Superconductivity
