March 5, 2024, 2:48 p.m. | Jiakai Sun, Han Jiao, Guangyuan Li, Zhanjie Zhang, Lei Zhao, Wei Xing

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.01444v1 Announce Type: new
Abstract: Constructing photo-realistic Free-Viewpoint Videos (FVVs) of dynamic scenes from multi-view videos remains a challenging endeavor. Despite the remarkable advancements achieved by current neural rendering techniques, these methods generally require complete video sequences for offline training and are not capable of real-time rendering. To address these constraints, we introduce 3DGStream, a method designed for efficient FVV streaming of real-world dynamic scenes. Our method achieves fast on-the-fly per-frame reconstruction within 12 seconds and real-time rendering at 200 …

abstract arxiv cs.cv current dynamic endeavor fly free neural rendering offline photo real-time rendering streaming training type video videos view

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