Motion Latent Diffusion Model 基本是DDPM,略。 Conditional Motion Latent Diffusion Model 这里我们引入两个具体的任务,text-to-motion和action-to-motion。对于text,我们用CLIP将其映射为embedding,对于action,我们直接学习learnable embedding即可。我们比较之后发现把embedding加到序列前比作为memory更好。我们的训练目标...
In this paper, we introduce a novel Latent Motion Diffusion model (LaMoD) to predict highly accurate DENSE motions from standard CMR videos. More specifically, our method first employs an encoder from a pre-trained registration network that learns latent motion features (also considered as ...
[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model - ChenFengYe/motion-latent-diffusion
In this paper, we introduce a novel Latent Motion Diffusion model (LaMoD) to predict highly accurate DENSE motions from standard CMR videos. More specifically, our method first employs an encoder from a pre-trained registration network that learns latent motion features (also considered as ...
ensuring a harmonious fusion where the core narrative of the content is both preserved and elevated through stylistic enhancements. We propose a novel Multi-condition Motion Latent Diffusion Model (MCM-LDM) for Arbitrary Motion Style Transfer (AMST). Our MCM-LDM significantly emphasizes preserving traj...
a model that, for the first time, leverages latent diffusion models in HMP to sample from alatent spacewhere behavior is disentangled from pose and motion. As a result, diversity is encouraged from a behavioral perspective. Thanks to our behavior coupler's ability to transfer sampled behavior to...
为了实现text-to-motion这一目的,首先要明确一个问题:这需要一个text encoder和一个motion decoder,以及二者对应的motion latent space;由于CLIP拥有一个如此之好的text encoder,产生了将其拿过来的想法,而motion decoder则需要自主训练——它其实是transformer的decoder,transformer能较好地学习序列数据,其结构如下: trans...
This issue becomes more serious when applying diffusion models to VSR tasks because temporal consistency is crucial to the perceptual quality of videos. In this paper, we propose an effective real-world VSR algorithm by leveraging the strength of pre-trained latent diffusion models. To ensure the ...
For example, MLD [2] presents a motion latent-based diffusion model with a representative motion variational autoencoder, showing its efficiency. Based on the proposed Motion-X, HumanTOMATO [91] introduces the first text-aligned whole-body motion generation that can generate high-quality, diverse,...
(Sec. B.1), the latent motion diffusion model (Sec. B.2), the refinement network (Sec. B.3), the optimal motion selection module (Sec. B.4), and other implementation details (Sec. B.5); 3) the selection of objective metrics (Sec. C); 4) more details and analysis of comparison...