Reparo: Loss-Resilient Generative Codec for Video Conferencing

arXiv:2305.14135v2 Announce Type: replace-cross
Abstract: Packet loss during video conferencing often leads to poor quality and video freezing. Attempting to retransmit lost packets is often impractical due to the need for real-time playback. Employing Forward Error Correction (FEC) for recovering the lost packets is challenging as it is difficult to determine the appropriate redundancy level. To address these issues, we introduce Reparo -- a loss-resilient video conferencing framework based on generative deep learning models. Our approach involves generating missing information …

abstract arxiv codec conferencing cs.cv cs.ni error error correction generative leads loss lost quality real-time resilient type video video conferencing