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Found 7 papers, 3 papers with code
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations
This paper presents an Exploratory 3D Dance generation framework, E3D2, designed to address the exploration capability deficiency in existing music-conditioned 3D dance generation models.
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations
Considering that obtaining expert demonstrations can be costly, the focus of current IRL techniques is on learning a better-than-demonstrator policy using a reward function derived from sub-optimal demonstrations.
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons
The automatic co-speech gesture generation draws much attention in computer animation.
Normalization Enhances Generalization in Visual Reinforcement Learning
Though normalization techniques have demonstrated huge success in supervised and unsupervised learning, their applications in visual RL are still scarce.
FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement
Previously proposed FullSubNet has achieved outstanding performance in Deep Noise Suppression (DNS) Challenge and attracted much attention.
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
In this paper, we introduce Watch-And-Help (WAH), a challenge for testing social intelligence in agents.
Location-Aware Feature Selection Text Detection Network
However, they are behind in accuracy comparing with recent segmentation-based text detectors.
