This paper presents DiffMotion, a novel speech-driven gesture synthesis architecture based on diffusion models. The model comprises an autoregressive temporal encoder and a denoising diffusion probability Module. The encoder extracts the temporal context of the speech input and historical gestures.
Jan 24, 2023
This paper presents DiffMotion, a novel speech-driven gesture synthesis architecture based on diffusion models. The model comprises an autoregressive temporal ...
This work presents the first diffusion-based probabilistic model, called Diff-TTSG, that jointly learns to synthesise speech and gestures together.
This paper presents DiffMotion, a novel speech driven gesture synthesis architecture based on diffusion models. The model comprises an autoregressive temporal ...
Jan 24, 2023 · This paper presents DiffMotion, a novel speech-driven gesture synthesis architecture based on diffusion models. The model comprises an ...
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DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model · List of references · Publications that cite this publication.
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model ... Speech-driven gesture synthesis is a field of growing interest in virtual human ...
DiffMotion schematic. The model consists of an Autoregressive Temporal Encoder and a Denoising Diffusion Probabilistic Module.
Nov 15, 2024 · Gesture Generation is the process of generating gestures from speech or text. The goal of Gesture Generation is to generate gestures that ...
This paper proposes a new generative model for generating state‐of‐the‐art realistic speech‐driven gesticulation, called MoGlow, and demonstrates the ...