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A comprehensive review of data‐driven co‐speech gesture generation
Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …
human communication. The automatic generation of such co‐speech gestures is a long …
Gesturediffuclip: Gesture diffusion model with clip latents
T Ao, Z Zhang, L Liu - ACM Transactions on Graphics (TOG), 2023 - dl.acm.org
The automatic generation of stylized co-speech gestures has recently received increasing
attention. Previous systems typically allow style control via predefined text labels or example …
attention. Previous systems typically allow style control via predefined text labels or example …
Listen, denoise, action! audio-driven motion synthesis with diffusion models
Diffusion models have experienced a surge of interest as highly expressive yet efficiently
trainable probabilistic models. We show that these models are an excellent fit for …
trainable probabilistic models. We show that these models are an excellent fit for …
Diffusestylegesture: Stylized audio-driven co-speech gesture generation with diffusion models
The art of communication beyond speech there are gestures. The automatic co-speech
gesture generation draws much attention in computer animation. It is a challenging task due …
gesture generation draws much attention in computer animation. It is a challenging task due …
Qpgesture: Quantization-based and phase-guided motion matching for natural speech-driven gesture generation
Speech-driven gesture generation is highly challenging due to the random jitters of human
motion. In addition, there is an inherent asynchronous relationship between human speech …
motion. In addition, there is an inherent asynchronous relationship between human speech …
Co-speech gesture video generation via motion-decoupled diffusion model
Co-speech gestures if presented in the lively form of videos can achieve superior visual
effects in human-machine interaction. While previous works mostly generate structural …
effects in human-machine interaction. While previous works mostly generate structural …
The GENEA Challenge 2023: A large-scale evaluation of gesture generation models in monadic and dyadic settings
This paper reports on the GENEA Challenge 2023, in which participating teams built speech-
driven gesture-generation systems using the same speech and motion dataset, followed by …
driven gesture-generation systems using the same speech and motion dataset, followed by …
Emotional speech-driven 3d body animation via disentangled latent diffusion
Existing methods for synthesizing 3D human gestures from speech have shown promising
results but they do not explicitly model the impact of emotions on the generated gestures …
results but they do not explicitly model the impact of emotions on the generated gestures …
Fake it to make it: Using synthetic data to remedy the data shortage in joint multimodal speech-and-gesture synthesis
Although humans engaged in face-to-face conversation simultaneously communicate both
verbally and non-verbally methods for joint and unified synthesis of speech audio and co …
verbally and non-verbally methods for joint and unified synthesis of speech audio and co …
A survey on deep multi-modal learning for body language recognition and generation
Body language (BL) refers to the non-verbal communication expressed through physical
movements, gestures, facial expressions, and postures. It is a form of communication that …
movements, gestures, facial expressions, and postures. It is a form of communication that …