当今超分辨领域的模型普遍存在过度平滑(难以保持放大后图像的锐利和纹理,导致高频信息丢失和视觉上变得平滑)和伪影(生成的高分辨率图像中可能出现的不希望出现的失真或瑕疵,包括模糊、马赛克效应或者不自然纹理等)的现象,作者据此提出了IDM模型,IDM模型是在一个统一的端到端框架中集成了隐式神经表示和去噪扩散模型,其中...
For diffusion models with constant diffusion functions, it may be possible to extend recent finite sample and asymptotic expansion results for the discrete time AR(1) model (=-=Phillips, 2010-=-) to a continuous time setting. Such an analysis would involve a substantial extension of the ...
Diffusion models may further improve and offer substantially better quality-diversity-compute trade-off with reasonably fast sampling. GANGogh: Creating Art with GANs GAN:艺术家眼里生成作品的创作利器 - IT思维 “ARTGAN” — A Simple Generative Adversarial Networks Based On Art Images Using DeepLearning...
Existing transferable utility (TU) games and noncooperative games will coincide with special cases of the two new game models. Using SCG and BLG, the prisoner’s dilemma can be reformulated and a richer set of decisions can be considered for the players. The two new game models have potential...
Q. Guo, An h-p version of the continuous Petrov-Galerkin finite element method for Volterra integro-differential equations with smooth and nonsmooth kernels... W Bu,A Xiao - 《Numerical Algorithms》 被引量: 1发表: 2018年 Convergence and superconvergence analysis for nonlinear delay reaction–diff...
SE(3)-DiffusionFields: "Learning smooth cost functions for joint grasp and motion optimization through diffusion", ICRA, 2023. [Paper] [Pytorch Code] Equivariant Descriptor Fields: "SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning ", ICLR, 2023. [Paper]...
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations Project Page | Paper Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim†. This repository is an official implementation of the ICLR 2024 paper DDMI (Domain-Agnostic Latent Diffusion Models...
In resistive MHD, the Lundquist number, SL, defined as the ratio between the resistive diffusion time scale for the magnetic field and the Alfvén wave transit time scale, is commonly used to distinguish between different physics regimes. It is well known that the Lundquist number is very high...
that beta ERD might be associated with an increase in cortical excitability and, in turn, with training-related plasticity changes. Short-term plasticity changes following a 45-min training session of motor sequence learning have been reported previously, measured by diffusion magnetic resonance imaging...
INRs serve as a continuous and coordinate based approximation of the deformation field obtained through a multi-layer perceptron. Previous research has demonstrated that sinusoidal representation networks (SIRENs) surpass ReLU models in performance. In this study, we first broaden the range of activation...