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Enter hybrid rendering Computer graphics hardware has been focused on doing rasterization faster for more than 20 years, and game designers and artists are very good at producing impressive results.
Basically, researchers wanted to know how they can apply A.I. to make computer graphics better, and the solution is to apply machine learning to real-world videos in order to render new graphics.
Nvidia unveils new GPU architecture for computer graphics rendering The Turing Architecture combines ray-tracing and AI inference for a new kind of hybrid rendering.
A new UC San Diego computer graphics model capable of generating realistic milk images based on the fat and protein content will likely push the field of computer graphics into the realms of ...
3D computer graphics (in contrast to 2D computer graphics) are graphics that utilize a three-dimensional representation of geometric data that is stored in the computer for the purposes of ...
The power behind the new-generation GPUs can be understood in their inherent ability to solve one of the classic computer graphics problems of all time: realistic rendering of hair and fur. Animals ...
Differentiable rendering has emerged as a pivotal suite of techniques bridging computer graphics with optimised, gradient‐based methodologies.
Rendering is the process of generating an image from a model (or models in what collectively could be called a scene file), by means of computer programs. Also, the results of such a model can be ...
Memory Rendering computer graphics consumes a high amount of processing power. Random Access Memory (RAM) is used to store running programs in a computer.
Caustic Graphics Inc. (San Francisco, Calif.) is a startup company that claims to have made a breakthrough in the hardware acceleration of ray-traced graphics. Caustic claims a 20 times speedup for ...
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