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StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation
We propose StyleTalker, a novel audio-driven talking head generation model that can synthesize a video of a talking person from a single reference image with accurately audio-synced lip shapes, realistic head poses, and eye blinks.
Rapid Neural Pruning for Novel Datasets with Set-based Task-Adaptive Meta-Pruning
As deep neural networks are growing in size and being increasingly deployed to more resource-limited devices, there has been a recent surge of interest in network pruning methods, which aim to remove less important weights or activations of a given network.
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning
As deep neural networks are growing in size and being increasingly deployed to more resource-limited devices, there has been a recent surge of interest in network pruning methods, which aim to remove less important weights or activations of a given network.
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