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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