State of the art on diffusion models for visual computing
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …
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 …
Taming diffusion models for audio-driven co-speech gesture generation
Animating virtual avatars to make co-speech gestures facilitates various applications in
human-machine interaction. The existing methods mainly rely on generative adversarial …
human-machine interaction. The existing methods mainly rely on generative adversarial …
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 …
Generating holistic 3d human motion from speech
This work addresses the problem of generating 3D holistic body motions from human
speech. Given a speech recording, we synthesize sequences of 3D body poses, hand …
speech. Given a speech recording, we synthesize sequences of 3D body poses, hand …
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 …
Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings
Automatic synthesis of realistic co-speech gestures is an increasingly important yet
challenging task in artificial embodied agent creation. Previous systems mainly focus on …
challenging task in artificial embodied agent creation. Previous systems mainly focus on …
Learning hierarchical cross-modal association for co-speech gesture generation
Generating speech-consistent body and gesture movements is a long-standing problem in
virtual avatar creation. Previous studies often synthesize pose movement in a holistic …
virtual avatar creation. Previous studies often synthesize pose movement in a holistic …
Strategies for Parent Involvement During Distance Learning in Arabic Lessons in Elementary Schools.
A Kartel, M Charles, H Xiao… - … : Journal International of …, 2022 - search.ebscohost.com
This study aims to find various obstacles, describe, and provide strategies for parents when
accompanying and providing direction to their children in distance learning. The method …
accompanying and providing direction to their children in distance learning. The method …
Beat: A large-scale semantic and emotional multi-modal dataset for conversational gestures synthesis
Achieving realistic, vivid, and human-like synthesized conversational gestures conditioned
on multi-modal data is still an unsolved problem due to the lack of available datasets …
on multi-modal data is still an unsolved problem due to the lack of available datasets …