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06/28/2023
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression
The lack of ability to adapt the motion compensation model to video cont...
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06/27/2022
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit Allocation
This paper presents improvements and novel additions to our recent work ...
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12/17/2021
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression
Conventional video compression (VC) methods are based on motion compensa...
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05/26/2021
DFPN: Deformable Frame Prediction Network
Learned frame prediction is a current problem of interest in computer vi...
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05/25/2021
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression
In end-to-end optimized learned image compression, it is standard practi...
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04/30/2021
On the Computation of PSNR for a Set of Images or Video
When comparing learned image/video restoration and compression methods, ...
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08/13/2020
Effect of Architectures and Training Methods on the Performance of Learned Video Frame Prediction
We analyze the performance of feedforward vs. recurrent neural network (...
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08/11/2020