In this work, inspired by the convection-diffusion ordinary differential equations (ODEs), we propose a novel diffusion residual network (Diff-ResNet), internally introduces diffusion into the architectures of neural networks. Under the structured data assumption, it is proved that the proposed ...
- 来自TPAMI2024的Diffusion Mechanism in Residual Neural Network: Theory and Applications; - 以及近期哈佛等欧美多所名校的学者在机器学习和生物学的融合研究中,所揭示的“扩散模型与进化算法”观点; ps:以上内容之前我的历史笔记均匀论述,感兴趣的大伙可翻看之前笔记或文章。
ResNet(Residual Neural Network)是一种深度神经网络结构,由Microsoft Research于2015年提出。它采用了残差学习的思想,通过引入残差模块(Residual Block)来解决深层网络训练中的梯度消失和梯度爆炸等问题。 在传统的深度神经网络中,随着网络层数的增加,网络的性能可能会饱和或下降,这是由于深层网络中的梯度消失问题。为了解...
Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism Yongwei Wang, Yuan Li, Zhiqi Shen [22nd Aug., 2022] [arXiv, 2022] [Paper]FairnessFairDiff: Fair Segmentation with Point-Image Diffusion Wenyi Li, Haoran Xu, Guiyu Zhang, ...
mechanism for coordination of goal information across the brain, in which fast-timescale activities unrelated to goal are superimposed on a distributed, slow-timescale, goal information carrying network. Forward model for the resolution of needs...
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism (Dec., 2024) Fashion-VDM: Video Diffusion Model for Virtual Try-On (Nov., 2024) 3D Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models (Mar., 2025 | CVPR 2025) Wonderland: Navigating 3D Scenes...
In this paper, we propose a novel SVS system using neural audio codecs and latent diffusion for high-quality singing voice audio. We introduce an audio autoencoder using residual vector quantization for high-fidelity audio generation and computational efficiency. Additionally, we adopt LDM in a lat...
The second critical issue is to determine the underlying diffusion model (Task 2, Fig.1c), which is related to its driving physical mechanism. Here, difficulties arise because the calculation of the MSD is not very informative, since different models provide curves with the same scaling exponent...
(nn.Module):"""Deep Residual Learning for Image Recognition"""def__init__(self,dim,dim_out,*,time_emb_dim=None,groups=8):super().__init__()self.mlp=(nn.Sequential(nn.SiLU(),nn.Linear(time_emb_dim,dim_out))ifexists(time_emb_dim)elseNone)self.block1=Block(dim,dim_out,groups=...
Residual 每一大层有若干个这样的子模块(残差卷积模块) 时间编码输入在这个block 用了group normalization,来解决批归一化在小批量情况下表现不佳的问题 Attention 对于较深的大层,残差卷积模块后面还会接一个自注意力模块。 经典的多头自注意力机制 multi-head self-attention 也可以是flash attention(快、省内存,核...