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Found 4 papers, 1 papers with code
Magic-Me: Identity-Specific Video Customized Diffusion
To achieve this, we propose three novel components that are essential for high-quality identity preservation and stable video generation: 1) a noise initialization method with 3D Gaussian Noise Prior for better inter-frame stability; 2) an ID module based on extended Textual Inversion trained with the cropped identity to disentangle the ID information from the background 3) Face VCD and Tiled VCD modules to reinforce faces and upscale the video to higher resolution while preserving the identity's features.
Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learning
Recent research efforts demonstrate that the intentional use of nonlinearity enhances the capabilities of energy harvesting systems.
A Model-Free Sampling Method for Estimating Basins of Attraction Using Hybrid Active Learning (HAL)
The proposed method is based upon hybrid active learning (HAL) and is designed to find and label the "informative" samples, which efficiently determine the boundary of BoA.
Constrained Attractor Selection Using Deep Reinforcement Learning
This paper describes an approach for attractor selection (or multi-stability control) in nonlinear dynamical systems with constrained actuation.
