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Found 4 papers, 0 papers with code
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction
Generating high-quality, realistic rendering images for real-time applications generally requires tracing a few samples-per-pixel (spp) and using deep learning-based approaches to denoise the resulting low-spp images.
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
We show in this work that Monte Carlo path tracing can be further accelerated by joint super-resolution and denoising (SRD) in post-processing.
Partial Graph Reasoning for Neural Network Regularization
This add-on graph regularizes the network during training and can be completely skipped during inference.
Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool
Monte Carlo path tracer renders noisy image sequences at low sampling counts.
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