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Found 3 papers, 1 papers with code
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion
With recent advances in video prediction, controllable video generation has been attracting more attention.
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
In this work, we take an alternative approach and propose CtRL-Sim, a method that leverages return-conditioned offline reinforcement learning (RL) to efficiently generate reactive and controllable traffic agents.
Real-time Audio Video Enhancement \\with a Microphone Array and Headphones
Results demonstrate the feasibility of the approach, and opens the door to the exploration and validation of a wide range of beamformer and speech enhancement methods for real-time speech enhancement.
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