position embedding:将RoPE扩展成3d RoPE,作者在这里有对比说用这种位置编码的方式能加速收敛 transformer block:在生成视频过程中需要对文本和视频两种模态的特征进行融合,为了更好的去融合特征,作者提出了使用自适应layer norm的方式,作者发发现,用了AdaLN之后,可以不用MLP,这样也不会影响模型的收敛。 3D full attent...
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models论文下载 论文作者 Hyeonho Jeong Geon Yeong Park Jong Chul Ye 内容简介 本文提出了一种名为Video Motion Customization (VMC)的框架,旨在解决文本到视频扩散模型在生成具有特定运动的视频时面临的挑战。VMC通过适...
Text-to-video is the challenging task of turning a text description into a video. Diffusion-based text-to-video model is improving at a rapid speed. Now, these models become usable and can be run locally on your machine. In this post, you will learn a few ways to convert a text promp...
论文名:Imagen Video: High Definition Video Generation With Diffusion Models 发布时间:2022年10月 论文地址:https://imagen.research.google/video/paper.pdf 代码地址: 原文摘要:我们提出了Imagen Video,一个基于视频扩散模型级联的文本条件的视频生成系统。给定一个文本提示,Imagen Video使用一个基本的视频生成模型...
The development of text-to-video (T2V), i.e. , generating videos with a given text prompt, has been significantly advanced in recent years. However, relying solely on text prompts often results in ambiguous frame composition due to spatial uncertainty. The research community thus leverages the...
Thanks to MagicAnimate for the gradio demo template. Thanks to deepbeepmeep, and XiaominLi for improving the code.About [ECCV 2024 Oral] MotionDirector: Motion Customization of Text-to-Video Diffusion Models. showlab.github.io/MotionDirector/ Topics video-generation diffusion-models text-to-vide...
Video outputs are also soundless, though developers are beginning to integrate models allowing users to add speech and contextual sound effects to video. Nevertheless, these models are already powerful, have improved significantly in a short time and will continue to advance. With existing diffu...
Sora's biggest development is that it doesn't generate a video frame by frame. Instead, it uses diffusion to generate the entire video all at once. The model has "foresight" of future frames, which allows it to keep generated details mostly consistent throughout the entire clip, even if ...
tune a video对T2I在时间维度的简单膨胀,1.将3x3 conv换成1x3x3(unet中resnet卷积),2.将spatial self-attention 换成spatio-temporal cross-frame attention。提出了一个简单的tune策略,只更新attention block中的投影矩阵,从one-shot视频中捕获连续的运动状态,其余参数均被冻结。但是spatio-temporal cross-frame at...
In this paper, we introduce a new task of zero-shot text-to-video generation and propose a low-cost approach (without any training or optimization) by leveraging the power of existing text-to-image synthesis methods (e.g., Stable Diffusion), making them suitable for the video domain. Our...