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Found 4 papers, 1 papers with code
Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression
In this paper, we focus on extending spatial aggregation capability and propose a dynamic kernel-based transform coding.
Exploring Long- and Short-Range Temporal Information for Learned Video Compression
Learned video compression methods have gained a variety of interest in the video coding community since they have matched or even exceeded the rate-distortion (RD) performance of traditional video codecs.
Learned Video Compression via Heterogeneous Deformable Compensation Network
In this paper, we propose a learned video compression framework via heterogeneous deformable compensation strategy (HDCVC) to tackle the problems of unstable compression performance caused by single-size deformable kernels in downsampled feature domain.
Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution
In this paper, we consider the task of space-time video super-resolution (ST-VSR), which can increase the spatial resolution and frame rate for a given video simultaneously.
Optical Flow Estimation
Space-time Video Super-resolution
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