SentiAvatar generates expressive interactive 3D avatars in real time by combining a 37-hour mocap dialogue dataset with a pre-trained motion foundation model and an audio-aware plan-then-infill architecture that separates semantic planning from prosody-driven frame interpolation.
DartControl: A diffusion-based autoregressive motion model for real-time text-driven motion control
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EgoForce reconstructs long-horizon full-body motion online from sparse noisy egocentric views by incrementally denoising with a temporally asymmetric diffusion schedule and noise-robust imputation.
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SentiAvatar: Towards Expressive and Interactive Digital Humans
SentiAvatar generates expressive interactive 3D avatars in real time by combining a 37-hour mocap dialogue dataset with a pre-trained motion foundation model and an audio-aware plan-then-infill architecture that separates semantic planning from prosody-driven frame interpolation.
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EgoForce: Robust Online Egocentric Motion Reconstruction via Diffusion Forcing
EgoForce reconstructs long-horizon full-body motion online from sparse noisy egocentric views by incrementally denoising with a temporally asymmetric diffusion schedule and noise-robust imputation.