文章地址: Versatile Diffusion: Text, Images and Variations All in One Diffusion Model 简介 近来,扩散模型在很多生成任务上取得了里程碑式的效果,像DALL-E2、Imagen和Stable Diffusion在学术界和工业界吸引了很大的注意力。随着这项技术的快速发展,研究者多数将新方法聚焦在任务的扩展和效果上,而不是模型的能力,...
Versatile Diffusion Diffuser:作者也是使用的Unet和cross attention。 整体上有2个流去支持: 1)图片: 使用ResBlock,会逐渐降低空间维度增加channel维度 2)文字:使用FCResBlock,从768变成320*4的feature。 使用GN, SiLU, VAE: 采用和LDM一样的Autoencoder-KL作为图像VAE。 使用Optimus作为文本VAE:包含了一个Bert...
Versatile Diffusion This repo hosts the official implementary of: Xingqian Xu, Atlas Wang, Eric Zhang, Kai Wang, and Humphrey Shi, Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, Paper arXiv Link. News [2023.02.07]: Our new demo is up and running on 🤗Huggin...
conda create -n versatile-diffusion python=3.8 conda activate versatile-diffusion conda install pytorch==1.12.1 torchvision=0.13.1 -c pytorch [Alternatively] pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113...
DiffWave: A Versatile Diffusion Model for Audio SynthesisZhifeng KongWei PingJiaji HuangKexin ZhaoBryan CatanzaroInternational Conference on Learning Representations
To address this problem, we propose a versatile diffusion model-based unsupervised framework for image fusion, termed as VDMUFusion. In the proposed method, we integrate the fusion problem into the diffusion sampling process by formulating image fusion as a weighted average process and establishing ...
Each HRP label on the target-bound Fab–mouse IgG1 complexes can activate multiple copies of Alexa Fluor 488 tyramide to produce short-lived tyramide radicals that are highly reactive with nucleophilic residues near the interaction site, yie...
text prompts or reference image and finally video colorization. Some works already investigated using diffusion models for colorization, however the proposed solutions are often more complex and require training a side model guiding the denoising process (à la ControlNet). Not only is this approach ...
Paper tables with annotated results for MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Diffusion 模型在从文本提示或图像生成高质量视频方面表现出令人印象深刻的性能。然而,对视频生成过程(例如摄像机操作或内容编辑)的精确控制仍然是一项重大挑战。现有的受控视频生成方法通常仅限于单一控制类型,缺乏处理不同控制需求的灵活性