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Found 4 papers, 1 papers with code
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation
In the first stage, we generate hand poses directly from audio input, leveraging the strong correlation between audio signals and hand movements.
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
Specifically, these models struggle to maintain a balance between control and consistency when generating images for virtual clothing trials.
EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
In this work, we tackle the challenge of enhancing the realism and expressiveness in talking head video generation by focusing on the dynamic and nuanced relationship between audio cues and facial movements.
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
The current interacting hand (IH) datasets are relatively simplistic in terms of background and texture, with hand joints being annotated by a machine annotator, which may result in inaccuracies, and the diversity of pose distribution is limited.
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