Due to the real-time and realistic immersive experience, online multiplayer interactive virtual reality (VR) is becoming more and more popular. To provide necessary VR immersive environments, delay-sensitive rendering tasks require a large number of high-resolution metadata, bringing significant challenges to computing processing and offloading transmission. Fortunately, the Metaverse-based edge networking and computing provide a possible approach to reuse similar view data in an adaptive collaborative transmit route. In this paper, we proposed a collaborative rendering method for multiplayer online VR games based on Depth Image-Based Rendering (DIBR), with a high data rate target under strict delay requirements by cooperatively synthesizing similar but compute-intensive views. Specifically, players are clustered into different groups by the proposed adaptive synthesis view matching method to choose appropriate views for players in need at first. Then, a multi-object optimizing problem is formulated considering on-orthogonal multiple access (NOMA) and device-to-device (D2D). A block coordinate descent (BCD) method via invoking the semidefinite relaxation (SDR) method is proposed to solve this non-convex problem. Simulation results show the proposed algorithm has reached an optimal maximum minimum data rate, reducing the cost of computation and communication resources.