0. 简介 本文综述了深度生成模型,特别是扩散模型(Diffusion model),如何赋予机器类似人类的想象力。扩散模型在生成逼真样本方面显示出巨大潜力,克服了变分自编码器中的后分布对齐障碍,缓解了生成对抗网络中的对抗性目标不稳定性。 扩散模型包...
通过复制stable diffusion encoder的参数,并在固定参数的基础上训练右侧模块来实现额外条件的注入。 视频扩散模型领域工作 Pixel Level模型 First video diffusion model VDM: Video diffusion model NeurIPS2022, 是pixel level模型 Conv2D>3D(3x3 -> 1x3x3) Space Attention >Divided Space-Temporal Attention Joint tr...
@article{cao2022survey, title={A Survey on Generative Diffusion Model}, author={Cao, Hanqun and Tan, Cheng and Gao, Zhangyang and Chen, Guangyong and Heng, Pheng-Ann and Li, Stan Z}, journal={arXiv preprint arXiv:2209.02646}, year={2022} }编辑...
Deep learning shows great potential in generation tasks thanks to deep latent representation. Generative models are classes of models that can generate observations randomly with respect to certain implied parameters. Recently, the diffusion Model becomes a raising class of generative models by virtue of...
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech Huang, Rongjie and Zhao, Zhou and Liu, Huadai and Liu, Jinglin and Cui, Chenye and Ren, Yi. ACM MM 2022. [pdf] [code] Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Luhman, Eric...
A Survey on Generative Diffusion Model. arXiv 2022 paper bib Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li Diffusion Models for Medical Image Analysis: A Comprehensive Survey. arXiv 2022 paper bib Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heid...
Denoising diffusion models represent a recent emerging topic in computer vision, demonstrating remarkable results in the area of generative modeling. A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and a reverse diffusion stage. In the forward ...
Denoising diffusion models represent a recent emerging topic in computer vision, demonstrating remarkable results in the area of generative modeling. A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and a reverse diffusion stage. In the forward ...
Modern generative AI relies on various technical foundations, ranging from model architecture and self-supervised pretraining to generative modeling methods (like GAN and diffusion models). After introducing the fundamental techniques, this work focuses on the technological development of various AIGC ...
图生成网络 Graph Generative Networks 分子生成对抗网络 Molecular Generative Adversarial Networks (MolGAN) Deep Generative Models of Graphs (DGMG) 图时空网络Graph Spatial-Temporal Networks 扩散卷积递归神经网络 Diffusion Convolutional Recurrent Neural Network (DCRNN) ...