Researchers from Intel’s Intelligent Systems Lab have revealed a new method for enhancing computer-generated imagery with photorealistic graphics. Demonstrated with GTA V, the approach uses deep-learning to analyze frames generated by the game and then generate new frames from a dataset of real images. While the technique in its research state is too slow for real gameplay today, it could represent a fundamentally new direction for real-time computer graphics of the future.
Despite being released back in 2013, GTA V remains a pretty darn good looking game. Even so, it’s far from what would truly fit the definition of “photorealistic.”
Although we’ve been able to create pre-rendered truly photorealistic imagery for quite some time now, doing so in real-time is still a major challenge. While real-time raytracing takes us another step toward realistic graphics, there’s still a gap between even the best looking games today and true photorealism.
Researchers from Intel’s Intelligent Systems Lab have published research demonstrating a state of the art approach to creating truly photorealistic real-time graphics by layering a deep-learning system on top of GTA V’s existing rendering engine. The results are quite impressive, showing stability that far exceeds similar methods.
https://www.roadtovr.com/intel-research ... arning-vr/
https://www.theverge.com/2021/5/12/2243 ... es-dataset