Adversarial Monte Carlo denoising with conditioned auxiliary feature modulation

Bing Xu
Bing Xu
Junfei Zhang
Junfei Zhang
Chuan Li
Chuan Li

ACM Transactions on Graphics (TOG), pp. 2242019.

Cited by: 14|Views49
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Abstract:

Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Many previous works, including regression-based and learning-based methods, have been explored to achieve better rendering quality with less computational cost. However, most of these methods rely on handcrafted...More

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