Researchers have introduced VDPP, a new framework for video depth post-processing that enhances both speed and accuracy in real-time applications without requiring retraining of existing models. This development addresses the limitations of current end-to-end systems by offering a modular solution that can integrate any updated single-image depth estimators efficiently, making it highly scalable for autonomous driving and mixed reality technologies.
Read the full article at arXiv cs.CV (Vision)
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