This dataset contains the result images (inputs and denoiser outputs) in lossless PFM format (compatible with GIMP 2.10 among others) for our paper “A Statistical Approach to Monte Carlo Denoising” (https://doi.org/10.1145/3680528.3687591). The directory names for the images correspond to the figure numbers in the paper and the supplementary document.

Furthermore, we provide additional materials (e.g., source code to reproduce the results) for our paper at https://www.cg.tuwien.ac.at/StatMC.

Acknowledgments

We would like to thank the creators of the scenes we have used: Wig42 for “Wooden Staircase” (Fig. 1), “Grey and White Room” (Fig. S6), and “Modern Living Room” (Fig. S8); nacimus for “Bathroom” (Fig. 3, S5); NovaZeeke for “Japanese Classroom” (Fig. 4, 6); Beeple for “Zero-Day” (Fig. 8); Jay-Artist for “White Room” (Fig. S7); Mareck for “Contemporary Bathroom” (Fig. 2); Christian Freude for “Glass Caustics” (Fig. S10); and Benedikt Bitterli for “Veach Ajar” (Fig. 7, S2), “Veach MIS” (Fig. S4), and “Fur Ball” (Fig. S11). This work has received funding from the Vienna Science and Technology Fund (WWTF) project ICT22-028 (“Toward Optimal Path Guiding for Photorealistic Rendering”) and the Austrian Science Fund (FWF) project F 77 (SFB “Advanced Computational Design”).