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Found 10 papers, 3 papers with code
Attack and Defense Analysis of Learned Image Compression
Our experiments compare the effects of different dimensions such as attack methods, models, qualities, and targets, concluding that in the worst case, there is a 61. 55% decrease in PSNR or a 19. 15 times increase in bpp under the PGD attack.
Fast QTMT Partition for VVC Intra Coding Using U-Net Framework
Experimental results demonstrate that our solution outperforms the state-of-the-art works with a complexity reduction of 44. 74% to 68. 76% and a BD-BR increase of 0. 60% to 2. 33%.
FAVER: Blind Quality Prediction of Variable Frame Rate Videos
Video quality assessment (VQA) remains an important and challenging problem that affects many applications at the widest scales.
Learned Image Compression with Separate Hyperprior Decoders
Learned image compression techniques have achieved considerable development in recent years.
Learned Video Compression with Residual Prediction and Loop Filter
To reduce the complexity, a light ResNet structure is used as the backbone for both RP-Net and LF-Net.
CSMCNet: Scalable Video Compressive Sensing Reconstruction with Interpretable Motion Estimation
Most deep network methods for compressive sensing reconstruction suffer from the black-box characteristic of DNN.
Image Compression with Encoder-Decoder Matched Semantic Segmentation
In recent years, layered image compression is demonstrated to be a promising direction, which encodes a compact representation of the input image and apply an up-sampling network to reconstruct the image.
A QP-adaptive Mechanism for CNN-based Filter in Video Coding
Convolutional neural network (CNN)-based filters have achieved great success in video coding.
Dual Learning-based Video Coding with Inception Dense Blocks
This method is mainly composed of two parts: intra prediction and reconstruction filtering.
