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Found 7 papers, 2 papers with code
Revisiting Learning-based Video Motion Magnification for Real-time Processing
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye.
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models
We introduce this new task to explain why people laugh in a particular video and a dataset for this task.
LaughTalk: Expressive 3D Talking Head Generation with Laughter
Laughter is a unique expression, essential to affirmative social interactions of humans.
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization
We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization.
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation
Recent work on dense optical flow has shown significant progress, primarily in a supervised learning manner requiring a large amount of labeled data.
Prefix tuning for automated audio captioning
Audio captioning aims to generate text descriptions from environmental sounds.
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment
The key idea is to enrich the audio features with visual information by learning to align audio to visual latent space.
