Large language models (LLMs) have made tremendous progress in natural
la...
Large language models have recently shown human level performance on a
v...
Neural networks (NN) can improve standard video compression by pre- and
...
Neural-based image and video codecs are significantly more power-efficie...
In video compression, coding efficiency is improved by reusing pixels fr...
Realizing the potential of neural video codecs on mobile devices is a bi...
We introduce a video compression algorithm based on instance-adaptive
le...
Most of the existing deep learning based end-to-end video coding (DLEC)
...
While most neural video codecs address P-frame coding (predicting each f...
Rate-Distortion Optimized Quantization (RDOQ) has played an important ro...
High-dynamic-range (HDR) photography involves fusing a bracket of images...
In this paper, we present a novel adversarial lossy video compression mo...
Recent advances in deep generative modeling have enabled efficient model...