Edge: Editable dance generation from music
Dance is an important human art form, but creating new dances can be difficult and time-
consuming. In this work, we introduce Editable Dance GEneration (EDGE), a state-of-the-art …
consuming. In this work, we introduce Editable Dance GEneration (EDGE), a state-of-the-art …
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 …
Music-driven group choreography
Music-driven choreography is a challenging problem with a wide variety of industrial
applications. Recently, many methods have been proposed to synthesize dance motions …
applications. Recently, many methods have been proposed to synthesize dance motions …
ICH-PRNet: A cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism
Accurately predicting intracerebral hemorrhage (ICH) prognosis is a critical and
indispensable step in the clinical management of patients post-ICH. Recently, integrating …
indispensable step in the clinical management of patients post-ICH. Recently, integrating …
Videoshop: Localized semantic video editing with noise-extrapolated diffusion inversion
We introduce Videoshop, a training-free video editing algorithm for localized semantic edits.
Videoshop allows users to use any editing software, including Photoshop and generative …
Videoshop allows users to use any editing software, including Photoshop and generative …
FineStyle: Semantic-Aware Fine-Grained Motion Style Transfer with Dual Interactive-Flow Fusion
We present FineStyle, a novel framework for motion style transfer that generates expressive
human animations with specific styles for virtual reality and vision fields. It incorporates …
human animations with specific styles for virtual reality and vision fields. It incorporates …
VideoPoseVR: Authoring virtual reality character animations with online videos
We present VideoPoseVR, a video-based animation authoring workflow using online videos
to author character animations in VR. It leverages the state-of-the-art deep learning …
to author character animations in VR. It leverages the state-of-the-art deep learning …
Multimodal dance style transfer
This paper first presents CycleDance, a novel dance style transfer system that transforms an
existing motion clip in one dance style into a motion clip in another dance style while …
existing motion clip in one dance style into a motion clip in another dance style while …
Scalable Group Choreography via Variational Phase Manifold Learning
Generating group dance motion from the music is a challenging task with several industrial
applications. Although several methods have been proposed to tackle this problem, most of …
applications. Although several methods have been proposed to tackle this problem, most of …
Federated learning for supervised cross-modal retrieval
In the last decade, the explosive surge in multi-modal data has propelled cross-modal
retrieval into the forefront of information retrieval research. Exceptional cross-modal retrieval …
retrieval into the forefront of information retrieval research. Exceptional cross-modal retrieval …