You've been logged out of GDC Vault since the maximum users allowed for this account has been reached. To access Members Only content on GDC Vault, please log out of GDC Vault from the computer which last accessed this account.

Click here to find out about GDC Vault Membership options for more users.

Session Name: Fast Denoising With Self Stabilizing Recurrent Blurs (Presented by NVIDIA)
Speaker(s): Dmitry Zhdan
Company Name(s): NVIDIA
Track / Format: Visual Arts
Overview: In this topic NVIDIA is going to discuss latest advancements in non-DL based denoising. Basing on previous work from Metro Exodus, a new method has been introduced which is based on recurrent blur too, but it has got a lot of improvements, like: better overall performance, cleaner results, specular denoising support, fast data reconstruction, better bilateral weighting and some others. Besides the algorithm overview the topics will be covered in the talk:n- mipmapping of incoming radiance - is it worth it?n- proper controlling of blur radius to avoid over-blurringn- accurate dis-occlusion detectionn- specular tracking without specular motionn- fast and high amplitude noise free data reconstruction of regions with discarded historyn- exponential versus linear accumulation. Why linear accumulation is better?n- how to compute bilateral weights in spatial passes?n- input signal compression - should it be used or not?n- how to fight with temporal lag

GDC 2020

Dmitry Zhdan


free content

Visual Arts

Visual Arts