Dec 8, 2022 · A new denoising-diffusion-based framework for high-quality conditional human motion synthesis that can generate long, temporally plausible, and semantically ...
Feb 28, 2023 · A new denoising-diffusion-based framework for high-quality conditional human motion synthesis that can synthesise long, temporally plausible, and semantically ...
Figure 1. Our MoFusion approach synthesises long sequences of human motions in 3D from textual and audio inputs (e.g., by providing music samples).
In response to these limitations, we introduce MoFusion, i.e., a new denoising-diffusion-based framework for high-quality conditional human motion synthesis ...
A new denoising-diffusion-based framework for high-quality conditional human motion synthesis that can synthesise long, temporally plausible, and semantically ...
Our framework can be split into two stages: 1) sequential keyframe generation by utilizing MLLMs as a keyframe designer and animator; 2) motion filling between ...
MoFusion is introduced, a new denoising-diffusion-based framework for high-quality conditional human motion synthesis that can synthesise long, ...
View recent discussion. Abstract: Conventional methods for human motion synthesis are either deterministic or struggle with the trade-off between motion ...
Figure 1. Our MoFusion approach synthesises long sequences of human motions in 3D from textual and audio inputs (e.g., by providing music samples).
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Dec 6, 2022 · In this paper, we present MoFusion, a framework for unified motion synthesis. MoFusion employs a Transformer backbone to ease the inclusion of diverse control ...