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Not everything is as it seems 🤖 Evolving #GenerativeAI enables scammers to create ultra-realistic human avatars using voice, image, and text manipulation. #ThinkTwice: Verify identities through multiple channels and be cautious of requests, even from "familiar" faces.

25,469 次观看 • 1 年前 •via X (Twitter)

10 条评论

Elora Simpson🇺🇲🦅🇺🇦 🟧 ☮ 的头像
Elora Simpson🇺🇲🦅🇺🇦 🟧 ☮1 年前

@BaddCompani @FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet I knew this A.I. BS would be abused and extremely dangerous...and here we are!! 🤦‍♀️🤬

Schorse 的头像
Schorse1 年前

@INTERPOL_Cyber @FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet Look at Globiance…. h t t p s“//„twitter(point)com/i/spaces/1ynJODpXkMWxR

Prabakaran K 🐅 的头像
Prabakaran K 🐅1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet 💯

Madan Lokhande 的头像
Madan Lokhande1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet I am always with you sweet friends

유희석/Henry Yoo 的头像
유희석/Henry Yoo1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet I see. SQ

Prof. G. Morara Geke-Senior Counsel 的头像
Prof. G. Morara Geke-Senior Counsel1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet There are fellows who have stolen funding from Public Benefit organizations and are now hiding exposing large populations to poverty and insecurity.Please investigate Kepta Ombati(Akiba Uhaki), Houghton Irungu(Amnesty International-Kenya) Ochieng Khairalla(4CS) and Ochanda(ICAD).

Ke Cheng 的头像
Ke Cheng1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet The biggest scammers are the Hong Kong police who have put in prison many innocent people

UNDH 的头像
UNDH1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet cela est mon numéros +2250160698014 pour plus de vérifications . attentions au associations de connectivité.

A.S.Mohamed Ali 的头像
A.S.Mohamed Ali1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet Thank you,

arvind 的头像
arvind1 年前

@FCDOGovUK @MofaJapan_en @japan @kaspersky @TrendMicro @teamcymru @UPPSentinel @GroupIB @Fortinet HUM ZZZZZ... Unseen whiling Patel creeps perpetrating this....

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Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation paper page: Recent advances in generative modeling have led to promising progress on synthesizing 3D human motion from text, with methods that can generate character animations from short prompts and specified durations. However, using a single text prompt as input lacks the fine-grained control needed by animators, such as composing multiple actions and defining precise durations for parts of the motion. To address this, we introduce the new problem of timeline control for text-driven motion synthesis, which provides an intuitive, yet fine-grained, input interface for users. Instead of a single prompt, users can specify a multi-track timeline of multiple prompts organized in temporal intervals that may overlap. This enables specifying the exact timings of each action and composing multiple actions in sequence or at overlapping intervals. To generate composite animations from a multi-track timeline, we propose a new test-time denoising method. This method can be integrated with any pre-trained motion diffusion model to synthesize realistic motions that accurately reflect the timeline. At every step of denoising, our method processes each timeline interval (text prompt) individually, subsequently aggregating the predictions with consideration for the specific body parts engaged in each action. Experimental comparisons and ablations validate that our method produces realistic motions that respect the semantics and timing of given text prompts.

AK

126,585 次观看 • 2 年前