CMC decouples trajectory control and text-conditioned motion completion with selective inpainting to achieve state-of-the-art accuracy and quality in multimodal human motion generation.
Denoising diffusion probabilistic models
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2roles
method 1polarities
use method 1representative citing papers
Spectral Progressive Diffusion progressively grows resolution during denoising of pretrained diffusion models via spectral noise expansion and a power-spectrum-derived schedule, enabling training-free speedups and a fine-tuning recipe.
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Coordinating Multiple Conditions for Trajectory-Controlled Human Motion Generation
CMC decouples trajectory control and text-conditioned motion completion with selective inpainting to achieve state-of-the-art accuracy and quality in multimodal human motion generation.
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Spectral Progressive Diffusion for Efficient Image and Video Generation
Spectral Progressive Diffusion progressively grows resolution during denoising of pretrained diffusion models via spectral noise expansion and a power-spectrum-derived schedule, enabling training-free speedups and a fine-tuning recipe.