research
∙
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...
share
research
∙
09/21/2022
Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
Although deep learning has made significant impact on image/video restor...
research
∙
09/18/2022
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting From Class-Specific Image Priors
Assuming a known degradation model, the performance of a learned image s...
research
∙
09/18/2022
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models
Flow-based generative super-resolution (SR) models learn to produce a di...
research
∙
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 ...
research
∙
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...
research
∙
06/01/2021
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution
It is well-known that in inverse problems, end-to-end trained networks o...
research
∙
05/26/2021
DFPN: Deformable Frame Prediction Network
Learned frame prediction is a current problem of interest in computer vi...
research
∙
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...
research
∙
04/30/2021
On the Computation of PSNR for a Set of Images or Video
When comparing learned image/video restoration and compression methods, ...
research
∙
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 (...
research
∙
08/11/2020
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression
Conventional video compression methods employ a linear transform and blo...
research
∙
07/17/2020