An asynchronous method for cloud-based rendering

Abstract

Interactive high-fidelity rendering is still unachievable on many consumer devices. Cloud gaming services have shown promise in delivering interactive graphics beyond the individual capabilities of user devices. However, a number of shortcomings are manifest in these systems: high network bandwidths are required for higher resolutions and input lag due to network fluctuations heavily disrupts user experience. In this paper we present a scalable solution for interactive high-fidelity graphics based on a distributed rendering pipeline where direct lighting is computed on the client device and indirect lighting in the cloud. The client device keeps a local cache for indirect lighting which is asynchronously updated using an object space representation; this allows us to achieve interactive rates that are unconstrained by network performance for a wide range of display resolutions that are also robust to input lag. Furthermore, in multi-user environments, the computation of indirect lighting is amortised over participating clients.

Web-Cloud Collaborative Mobile Online 3D Rendering System

“…e Cloud Light system first proposed allocating lighting rendering tasks [14]. Remote Asynchronous Indirect Lighting (RADL) implements viewpoint-independent collaborative lighting rendering [15]. Shading Atlas Streaming (SAS) [16] puts all shading calculations in the cloud to complete and uses the Shading Atlas mechanism of Virtual Texture for storage.…”

A Web3D cloud rendering system for dynamic real-time lighting and shadow based on device power

“…Cloud Baking 系统 [23] 将轻量级的直接光照渲染 任务分摊到 Web 客户端, 重量级的全局光照渲染任务分摊到云服务器端, 该系统属于视点相关的协 同式云渲染系统. 而 Remote asynchronous indirect lighting (RAIL) 则实现了视点无关的协同式光照 渲染 [24] .…”

A Distributed, Decoupled System for Losslessly Streaming Dynamic Light Probes to Thin Clients

“…Previous work describes good solutions for asynchronously updating and efficiently streaming irradiance maps, photon maps, voxel lights [9], virtual point lights [3,28], light propagation volumes [25,26], and irradiance maps combined with probes [49]. These methods use a variety of lossy video and general lossless encoding techniques.…”