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Deep Adaptive Sampling for Low Sample Count Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Recently, deep learning approaches have proven successful at removing noise from Monte Carlo (MC) rendered images at extremely low sampling rates, e.g., 1-4 samples per pixel (spp). While these methods provide dramatic ...
Progressive Denoising of Monte Carlo Rendered Images
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
Image denoising based on deep learning has become a powerful tool to accelerate Monte Carlo rendering. Deep learning techniques can produce smooth images using a low sample count. Unfortunately, existing deep learning ...