Creating realistic images has been a persistently challenging problem in computer graphics, especially when it comes to rendering scenes with complex lighting. Path tracing achieves photorealistic quality rendering by simulating the way light rays bounce around the scene and interact with different materials, but it also requires significant computation to generate clean images. This is where neural supersampling and denoising come into play. In this blog post, we describe how our neural supersampling and denoising work together to push the boundary for real-time path tracing.