Abstract:
The present invention facilitates efficient and effective image processing. A network can comprise: a first system configured to perform a first portion of lighting calculations for an image and combing results of the first portion of lighting calculations for the image with results of a second portion of lighting calculations; and a second system configured to perform the second portion of lighting calculations and forward the results of the second portion of the lighting calculations to the first system. The first and second portion of lighting calculations can be associated with indirect lighting calculations and direct lighting calculations respectively. The first system can be a client in a local location and the second system can be a server in a remote location (e.g., a cloud computing environment). The first system and second system can be in a cloud and a video is transmitted to a local system.
Abstract:
During the rendering of an image, specific pixels in the image are identified where antialiasing would be helpful. Antialiasing is then performed on these identified pixels, where anti-aliasing is a technique used to add greater realism to a digital image by smoothing jagged edges. This reduces a cost of performing antialiasing by reducing a number of pixels within an image on which antialiasing is performed.
Abstract:
A global illumination data structure (e.g., a data structure created to store global illumination information for geometry within a scene to be rendered) is computed for the scene. Additionally, reservoir-based spatiotemporal importance resampling (RESTIR) is used to perform illumination gathering, utilizing the global illumination data structure. The illumination gathering includes identifying light values for points within the scene, where one or more points are selected within the scene based on the light values in order to perform ray tracing during the rendering of the scene.
Abstract:
During the rendering of an image, specific pixels in the image are identified where antialiasing would be helpful. Antialiasing is then performed on these identified pixels, where anti-aliasing is a technique used to add greater realism to a digital image by smoothing jagged edges. This reduces a cost of performing antialiasing by reducing a number of pixels within an image on which antialiasing is performed.
Abstract:
The present invention facilitates efficient and effective image processing. A network can comprise: a first system configured to perform a first portion of lighting calculations for an image and combing results of the first portion of lighting calculations for the image with results of a second portion of lighting calculations; and a second system configured to perform the second portion of lighting calculations and forward the results of the second portion of the lighting calculations to the first system. The first and second portion of lighting calculations can be associated with indirect lighting calculations and direct lighting calculations respectively. The first system can be a client in a local location and the second system can be a server in a remote location (e.g., a cloud computing environment). The first system and second system can be in a cloud and a video is transmitted to a local system.
Abstract:
During the rendering of an image, specific pixels in the image are identified where antialiasing would be helpful. Antialiasing is then performed on these identified pixels, where anti-aliasing is a technique used to add greater realism to a digital image by smoothing jagged edges. This reduces a cost of performing antialiasing by reducing a number of pixels within an image on which antialiasing is performed.
Abstract:
A system, method, and computer program product are provided for computing indirect lighting in a cloud network. In operation, one or more scenes for rendering are identified. Further, indirect lighting associated with the one or more scenes is identified. Additionally, computation associated with the indirect lighting is performed in a cloud network utilizing at least one of a voxel-based algorithm, a photon-based algorithm, or an irradiance-map-based algorithm.
Abstract:
A system, method, and computer program product are provided for tiled deferred shading. In operation, a plurality of photons associated with at least one scene are identified. Further, a plurality of screen-space tiles associated with the at least one scene are identified. Additionally, each of the plurality of screen-space tiles capable of being affected by a projection of an effect sphere for each of the plurality of photons are identified. Furthermore, at least a subset of photons associated with each of the screen-space tiles from which to compute shading are selected. Moreover, shading for the at least one scene is computed utilizing the selected at least a subset of photons.
Abstract:
A remote device utilizes ray tracing to compute a light field for a scene to be rendered, where the light field includes information about light reflected off surfaces within the scene. This light field is then compressed utilizing one or more video compression techniques that implement temporal reuse, such that only differences between the light field for the scene and a light field for a previous scene are compressed. The compressed light field data is then sent to a client device that decompresses the light field data and uses such data to obtain the light field for the scene at the client device. This light field is then used by the client device to compute global illumination for the scene. The global illumination may be used to accurately render the scene at the mobile device, resulting in a realistic scene that is presented by the mobile device.
Abstract:
A remote device utilizes ray tracing to compute a light field for a scene to be rendered, where the light field includes information about light reflected off surfaces within the scene. This light field is then compressed utilizing lossless or lossy compression and one or more video compression techniques that implement temporal reuse, such that only differences between the light field for the scene and a light field for a previous scene are compressed. The compressed light field data is then sent to a client device that decompresses the light field data and uses such data to obtain the light field for the scene at the client device. This light field is then used by the client device to compute global illumination for the scene. The global illumination may be used to accurately render the scene at the mobile device, resulting in a realistic scene that is presented by the mobile device.