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Found 6 papers, 4 papers with code
Optimizing Diffusion Noise Can Serve As Universal Motion Priors
We propose Diffusion Noise Optimization (DNO), a new method that effectively leverages existing motion diffusion models as motion priors for a wide range of motion-related tasks.
Guided Motion Diffusion for Controllable Human Motion Synthesis
Denoising diffusion models have shown great promise in human motion synthesis conditioned on natural language descriptions.
Set Prediction in the Latent Space
Set prediction tasks require the matching between predicted set and ground truth set in order to propagate the gradient signal.
High resolution weakly supervised localization architectures for medical images
In medical imaging, Class-Activation Map (CAM) serves as the main explainability tool by pointing to the region of interest.
CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity
When the past gradients agree on direction, CProp keeps the original learning rate.
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