Abstract: Conditional coding is a new video coding paradigm enabled by neural-network-based compression. It can be shown that conditional coding is in theory better than the traditional residual ...
Abstract: In response to the Grand Challenge on Neural Network-based Video Coding at ISCAS 2024, this paper proposes a learned hierarchical B-frame coding scheme. Most learned video codecs concentrate ...
description [ICCV 2025][Video Compression] This paper proposes HyTIP, a framework that unifies output-recurrence (explicit buffering of decoded frames) and hidden-to-hidden propagation (implicit ...
This repository contains the implementation of the MH-LVC model proposed in the paper "MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding", presented at ICCV ...