• 25 papers done read

• ⭐: exceptionally important paper

Deep Learning for 3D Simulation

Rendering Enhancement

Denoising

• Monte Carlo Denoising via Auxiliary Feature Guided Self-Attention (TOG21)
• Automatic Feature Selection for Denoising Volumetric Renderings (EGSR22)
• Deep combiner for independent and correlated pixel estimates (TOG20)
• Self-Supervised Post-Correction for Monte Carlo Denoising
• Progressive Denoising of Monte Carlo Rendered Images (EG22)
• Neural James-Stein Combiner for Unbiased and Biased Renderings ⭐
• Ensemble Denoising for Monte Carlo Renderings
• Deep Adaptive Sampling and Reconstruction using Analytic Distributions
• Temporally Stable Real-Time Joint Neural Denoising and Supersampling (HPG22)
• Interactive Monte Carlo Denoising using Affinity of Neural Features

Path Space Filtering

• Keller, Path Space Filtering
• West, Continuous Multiple Importance Sampling
• Deng, Path Graph: Iterative Path Space Filtering ⭐