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View Code? Open in Web Editor NEWEmote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
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These are highly unlikely with the current algorithmic training architecture stated in the paper.
Please release the code and preliminary model for us to verify.
Even boximator in TikTok cannot reproduce such quality. Both do not release the codes as usual and hide behind marketing.
It just show that such deepfakes are now high quality and users should be wary of adversarial attacks like this from now on.
Please feel free to contact us at Amaris.AI if you need defences against such deepfakes!
这个怎么玩
J8J8J8J8J8J8J8J8J8J8J8J8J8J8
双标的真是可以。
Also, python devs - please remember to include the python version in your documentation!
thanks for your fabulous work , its really amazing and I couldn't wait to release code. could you please tell me when you're going to release the code 💥
要论文,不够;
要代码,还不够;
要权重,还不够;
要数据,还不够;
要debug,还不够;
要tunning,还不够;
要......
哈哈哈哈哈
人家算法结构图给了,描述的也比较清楚,大家就不要骂了。差不多得了。
Can't wait to try out this model, hoping to provide a locally testable model and corresponding methods ASAP.
Thank you all for your incredible support and interest in our project. We've received lots of inquiries regarding a demo or the source code. We want to assure you that we are actively working on preparing the demo and code for public release. Although we cannot commit to a specific release date at this very moment, please be certain that the intention to provide access to both the demo and our source code is firm.
Our goal is to not only share the code but also ensure that it is robust and user-friendly, transitioning it from an academic prototype to a more polished version that provides a seamless experience. We appreciate your patience as we take the necessary steps to clean, document, and test the code to meet these standards.
Thank you for your understanding and continuous support.
恶心恶心恶心
Why post this with no code? Do you plan to release it?
继续骗赞吧
I don't understand why they choose not to make it public if it was created using open source. If that's the case, they should just keep it within Alibaba. Such selfish people
不开还在这里开个github赚star,又当又立
another Animate Anyone 🫣🫣🫣 ?
rt
This is for sure one of those researches that I'm sceptic about. The animation is just TO good to be img2video from audio. Muscles are moving, backgrounds are visible in the animation that is not visible in the image, 3D head rotations, while small, are impossibly good, hair jiggle corresponding to the laws of physics...
Nah... I believe it when I can try it and verify it. Until then it's to good to be true!
Wow this is fantastic great work!
Are you planning on releasing the code?
devs didn't make anything, this is fake.
就这?至少给个huggingface的下载链接撒
666666666666666666666666666666666666
While the paper is very detailed, and will help anyone with the know how and compute to reproduce this, i think the idea of using SD1.5 as a starting base, and AD, kinda means you really should be releasing these models. You are building on the literal compute of others, and in the case, its most likely only fair to return the favor.
Combined with many of the concepts coming from the open source community, such as ReferenceNet with originated from the ControlNet devs.
Or at least dont make these sort of github where you just seeking exposure, this is a code repo after all.
不像AnimateAnyone写了要开源但是并不打算开源
挂个github url,只开源个readme,求求别开源了好吗
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