magicvideo: efficient video generation with latent diffusion models - Axtarish в Google
20 нояб. 2022 г. · We present an efficient text-to-video generation framework based on latent diffusion models, termed MagicVideo. MagicVideo can generate smooth video clips.
We present an efficient video generation framework based on latent diffusion models, termed as MagicVideo. Given a text description, MagicVideo is able to ...
We present an efficient text-to-video generation framework based on latent diffusion models, termed MagicVideo. MagicVideo can generate smooth video clips ...
20 нояб. 2022 г. · With the proposed efficient latent 3D U-Net design, MagicVideo can generate video clips with 256x256 spatial resolution on a single GPU card, ...
20 нояб. 2022 г. · We present an efficient text-to-video generation framework based on latent diffusion models, termed MagicVideo.
With the proposed efficient latent 3D U-Net design, MagicVideo can generate video clips with 256x256 spatial resolution on a single GPU card, which is 64x ...
... Efficient Training Framework for Diffusion-based Text-to-Video Generation, -, -, -, IJCNN, 2023. MagicVideo: Efficient Video Generation With Latent Diffusion ...
Latent Diffusion Models (LDMs) enable high-quality im- age synthesis while avoiding excessive compute demands by training a diffusion model in a compressed ...
25 апр. 2024 г. · Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng: MagicVideo: Efficient Video Generation With Latent Diffusion Models ...
MagicVideo: Efficient Video Generation With Latent Diffusion Models [Paper] ... Conditional Image-to-Video Generation with Latent Flow Diffusion Models [Paper] [ ...
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