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Found 5 papers, 1 papers with code
Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding
To adapt our codec to YUV 4:2:0 content, we adopt a simple strategy of using space-to-depth and depth-to-space conversions.
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression
CANF-VC represents a new attempt that leverages the conditional ANF to learn a video generative model for conditional inter-frame coding.
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
The conventional wisdom to this end is by reducing through training a statistical distance (such as $f$-divergence) between the generated distribution and provided data distribution.
Humor Recognition Using Deep Learning
Humor is an essential but most fascinating element in personal communication.
Linggle Knows: A Search Engine Tells How People Write
This paper shows the great potential of incorporating different approaches to help writing.
