自2022年Stable Diffusion和ChatGPT诞生以来,扩散模型(diffusion models)和大语言模型(Large Language Models, LLMs)就逐渐成为计算机视觉(CV)和自然语言处理(NLP)两大深度学习主流社区的研究焦点。一方面,在以CLIP为代表的多模态学习迅猛发展之下,加上诸如LAION的大规模图像-文本对训练数据加持下,diffusion models重新定...
大语言模型(Large Language Models, LLMs)与扩散模型(Diffusion Models)都是生成模型,可以根据输入条件生成新的数据样本。大语言模型主要生成文本,扩散模型生成图像或其他形式的数据。两者都是当前人工智能研究的热点领域,LLM/MLLM更侧重于多模态数据的理解与推理,而Diffusion Model更侧重于生成多模态数据,建模其分布。本...
id=eejhD9FCP3 项目名称: Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation (ICML 2024) 项目链接: https://github.com/YangLing0818/IRDiff 论文链接: https://arxiv.org/2401.11708 项目名称: Mastering Text-to-Image Diffusion: Recaptioning, Planning, and ...
importtorchfromconfigimport*fromdatasetimporttrain_dataset,tensor_to_pilimportmatplotlib.pyplot as plt#前向diffusion计算参数betas=torch.linspace(0.0001,0.02,T)#(T,)alphas=1-betas#(T,)alphas_cumprod=torch.cumprod(alphas,dim=-1)#alpha_t累乘 (T,) [a1,a2,a3,...] -> [a1,a1*a2,a1*a2*a3,...
Story visualization, the task of creating visual narratives from textual descriptions, has seen progress with text-to-image generation models. However, these models often lack effective control over character appearances and interactions, particularly in multi-character scenes. To address these limitations...
吴恩达最新《扩散模型是如何工作的》|how-diffusion-models-work|中英字幕 吴恩达最新《面向开发者的ChatGPT提示工程》|chatgpt-prompt-engineering-for-developers|中英字幕 吴恩达《用于LLM应用程序开发的LangChain》|langchain-for-llm-application-development|中英字幕 吴恩达最新《使用ChatGPT API构建系统》|Buildi...
Speech or audio generation · Diffusion models Most important applications of Generative AI I did collect the most notable AI applications, that are robust enough and they aren't using any third party services. This is my private collection, I also use the majority of these tools personally: Op...
Implementation of "DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation" - jianzongwu/DiffSensei
Diffusion Models - 扩散模型(一) Redfl...发表于Deep ... 理解扩散模型Diffusion Models(一) 本文首发于公众号:有三AI作者:小米粥、rikka、戴本哲1.生成模型在介绍扩散模型细节之前,我们首先需要明确讨论的范围。扩散模型(diffusion models)属于无监督生成模型,而关于生成模型… 小米粥发表于机器学习-... 三分钟...
以自然语言作为 interface,我们就能无缝地对接各类 LLMs、Diffusion Models,而不需要任何额外训练。这在介绍上述各方法时也有体现,只有以自然语言为媒介的 RPG 是不需要额外微调的。另外,自然语言可以直接被人类阅读,可解释性也大大增强。也可以引入人工参与,手动修改中间的 prompt。