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일레븐랩스-오디오 생성

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일레븐랩스-오디오 생성

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Create stunning images with Bing Image Creator, the best free AI image generator. Turn text into AI art, photos, and visuals instantly, all for free.

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AI 글쓰기, AI 이미지 생성 등 전세계 최신 AI를 무료로

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Talk with Claude, an AI assistant from Anthropic

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무한한 가능성을 여는 새로운 대화의 시작

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AIVA, your AI music generation assistant

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SOUNDRAW | AI Music Generator - Royalty Free Beats

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SOUNDRAW is an AI music generator built by musicians for the purpose of making music creation easy and accessible to everyone. Every beat, melody, and stem you create here is powered by proprietary algorithms trained exclusively on music produced in-house by our professional team.
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SOUNDRAW | AI Music Generator - Royalty Free Beats

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동영상에 보이스를 더하다. 원하는 문장을 입력만 하면 생생한 AI 더빙이 뚝딱.

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Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
Engineering, Design, Product, and Prototyping
Jeff Belgum, Dave Cummings, Jonathan Gordon, Chris Hallacy, Shawn Jain, Joanne Jang, Fraser Kelton, Vishal Kuo, Joel Lehman, Rachel Lim, Bianca Martin, Evan Morikawa, Rajeev Nayak, Glenn Powell, Krijn Rijshouwer, David Schnurr, Maddie Simens, Kenneth Stanley, Felipe Such, Chelsea Voss, Justin Jay Wang
Comms, Policy, Legal, Ops, Safety, and Security
Steven Adler, Lama Ahmad, Miles Brundage, Kevin Button, Che Chang, Fotis Chantzis, Derek Chen, Frances Choi, Steve Dowling, Elie Georges, Shino Jomoto, Aris Konstantinidis, Gretchen Krueger, Andrew Mayne, Pamela Mishkin, Bob Rotsted, Natalie Summers, Dave Willner, Hannah Wong
Acknowledgments
Thanks to those who helped with and provided feedback on this release: Sandhini Agarwal, Sam Altman, Chester Cho, Peter Hoeschele, Jacob Jackson, Jong Wook Kim, Matt Knight, Jason Kwon, Anna Makanju, Katie Mayer, Bob McGrew, Luke Miller, Mira Murati, Adam Nace, Hyeonwoo Noh, Cullen O'Keefe, Long Ouyang, Michael Petrov, Henrique Ponde de Oliveira Pinto, Alec Radford, Girish Sastry, Pranav Shyam, Aravind Srinivas, Ilya Sutskever, Preston Tuggle, Arun Vijayvergiya, Peter Welinder

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DALL·E 2 is an AI system that can create realistic images and art from a description in natural language.

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Stable Diffusion은 텍스트 설명에서 이미지를 생성하는 딥 러닝 모델입니다. Stable Diffusion을 무료로 온라인으로 사용하세요.

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Abstract

Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects. Existing approaches gain controllability of generative adversarial networks (GANs) via manually annotated training data or a prior 3D model, which often lack flexibility, precision, and generality. In this work, we study a powerful yet much less explored way of controlling GANs, that is, to "drag" any points of the image to precisely reach target points in a user-interactive manner, as shown in Fig.1. To achieve this, we propose DragGAN, which consists of two main components including: 1) a feature-based motion supervision that drives the handle point to move towards the target position, and 2) a new point tracking approach that leverages the discriminative GAN features to keep localizing the position of the handle points. Through DragGAN, anyone can deform an image with precise control over where pixels go, thus manipulating the pose, shape, expression, and layout of diverse categories such as animals, cars, humans, landscapes, etc. As these manipulations are performed on the learned generative image manifold of a GAN, they tend to produce realistic outputs even for challenging scenarios such as hallucinating occluded content and deforming shapes that consistently follow the object's rigidity. Both qualitative and quantitative comparisons demonstrate the advantage of DragGAN over prior approaches in the tasks of image manipulation and point tracking. We also showcase the manipulation of real images through GAN inversion.

Downloads

Paper

Code

Citation

@inproceedings{pan2023_DragGAN,
    title={Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold},
    author={Pan, Xingang and Tewari, Ayush, and Leimk{\"u}hler, Thomas and Liu, Lingjie and Meka, Abhimitra and Theobalt, Christian},
    booktitle = {ACM SIGGRAPH 2023 Conference Proceedings},
    year={2023}
}

License

Images, text and video files on this site are made freely available for non-commercial use under the Creative Commons CC BY-NC 4.0 license. Feel free to use any of the material in your own work, as long as you give us appropriate credit by mentioning the title and author list of our paper.

Acknowledgments

This work was supported by ERC Consolidator Grant 4DReply (770784). Lingjie Liu was supported by Lise Meitner Postdoctoral Fellowship. This project was also supported by Saarbrücken Research Center for Visual Computing, Interaction and AI.

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Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

# data[].attributes.attachment_link.description
Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects. Existing approaches gain controllability of generative adversarial networks (GANs) via manually annotated training data or a prior 3D model, which often lack flexibility, precision, and generality.

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Everything you need to make anything you want.

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Create professional videos in minutes with Pictory's AI video generator. Turn text, prompts, URLs, PPTs, images, and recordings into branded videos with captions, AI voices, and avatars.

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Make videos easily by giving a prompt to Invideo AI. Ideal for content creators, YouTubers and marketers, invideo AI offers a seamless way to turn your ideas into publish-ready videos with AI.

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Create Stunning Word Clouds in Seconds | WordArt.com

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WordArt.com is an online word cloud generator that enables you to create amazing and unique word clouds with ease

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눈 오는 날 교실에서 창밖을 보며 즐거워 하는 7명의 아이들을 일러스트로 그려줘

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눈 오는 날 교실에서 창밖을 보며 즐거워 하는 7명의 아이들을 일러스트로 그려줘

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이미지를 다음과 같

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국회로 간 귀여운 산타와 루돌프

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국회로 간 귀여운 산타와 루돌프

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귀여운 여자아이 아름다운 꽃밭에서 놀고 있는 그림 그려줘

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귀여운 여자아이 아름다운 꽃밭에서 놀고 있는 그림 그려줘

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눈 오는 날 교실에서 창밖을 보며 신나서 뛰고 있는  7명의 아이들을  그려줘

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눈 오는 날 교실에서 창밖을 보며 신나서 뛰고 있는  7명의 아이들을  그려줘

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성탄절에 산타할아버지가 우리원에 와서 산타행사하는 그림

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성탄절에 산타할아버지가 우리원에 와서 산타행사하는 그림

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국회로 간 산타와 루돌프 귀엽게 그려줘<

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국회로 간 산타와 루돌프 귀엽게 그려줘

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국회로간 산타와 루돌프 귀엽게 그려줘

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웃고 있는 고양이

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A field of roses in different colors under a pink sky

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큰 눈사람과 작은 눈사람이

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큰 눈사람과 작은 눈사람이 눈길에 나란히 있어