| Dataset and metrics for predicting local visible differences K Wolski, D Giunchi, N Ye, P Didyk, K Myszkowski, R Mantiuk, HP Seidel, ... ACM Transactions on Graphics (TOG) 37 (5), 1-14, 2018 | 47 | 2018 |
| Perceptual model for adaptive local shading and refresh rate A Jindal, K Wolski, K Myszkowski, RK Mantiuk ACM Transactions on Graphics (TOG) 40 (6), 1-18, 2021 | 27 | 2021 |
| Predicting visible image differences under varying display brightness and viewing distance N Ye, K Wolski, RK Mantiuk Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 24 | 2019 |
| Neural partitioning pyramids for denoising monte carlo renderings M Balint, K Wolski, K Myszkowski, HP Seidel, R Mantiuk ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023 | 8 | 2023 |
| Selecting texture resolution using a task‐specific visibility metric K Wolski, D Giunchi, S Kinuwaki, P Didyk, K Myszkowski, A Steed, ... Computer Graphics Forum 38 (7), 685-696, 2019 | 6 | 2019 |
| An implicit neural representation for the image stack: Depth, all in focus, and high dynamic range C Wang, K Wolski, X Pan, T Leimkühler, B Chen, C Theobalt, ... ACM trans. graph., 2023 | 3 | 2023 |
| Geo-metric: A Perceptual Dataset of Distortions on Faces K Wolski, L Trutoiu, Z Dong, Z Shen, K Mackenzie, A Chapiro ACM Transactions on Graphics (TOG) 41 (6), 1-13, 2022 | 3 | 2022 |
| Dark Stereo: Improving Depth Perception Under Low Luminance K Wolski, F Zhong, K Myszkowski, RK Mantiuk ACM Transactions on Graphics 41 (4), 1-12, 2022 | 2 | 2022 |
| Cross spread pupil tracking technique K Wolski, R Mantiuk Journal of Electronic Imaging 25 (6), 063012-063012, 2016 | 2 | 2016 |
| Who did it? How User Agency is influenced by Visual Properties of Generated Images JK Didion, K Wolski, D Wittchen, D Coyle, T Leimkühler, P Strohmeier Proceedings of the 37th Annual ACM Symposium on User Interface Software and …, 2024 | 1 | 2024 |
| Cinematic Gaussians: Real‐Time HDR Radiance Fields with Depth of Field C Wang, K Wolski, B Kerbl, A Serrano, M Bemana, HP Seidel, ... Computer Graphics Forum, e15214, 2024 | 1 | 2024 |
| Learning Images Across Scales Using Adversarial Training K Wolski, A Djeacoumar, A Javanmardi, HP Seidel, C Theobalt, ... ACM Transactions on Graphics (TOG) 43 (4), 1-13, 2024 | | 2024 |
| Self-Supervised Video Defocus Deblurring with Atlas Learning L Ruan, M Bálint, M Bemana, K Wolski, HP Seidel, K Myszkowski, B Chen ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | | 2024 |
| Design and applications of perception-based mesh, image, and display-related quality metrics K Wolski Saarländische Universitäts-und Landesbibliothek, 2023 | | 2023 |
| Supplementary material for Perceptual Model for Adaptive Local Shading and Refresh Rate A JINDAL, K WOLSKI, K MYSZKOWSKI, RK MANTIUK | | 2021 |
| VisTexRes: Visibility thresholds for Texture Resolution K Wolski, D Giunchi, S Kinuwaki, P Didyk, K Myszkowski, A Steed, ... | | 2019 |
| LocVisVC: Local visibility maps of artifacts and distortions in images under varying viewing conditions N Ye, K Wolski, R Mantiuk | | 2019 |
| LocVis: Local visibility maps of artifacts and distortions in images K Wolski, Y Nanyang, D Giunchi, P Didyk, K Myszkowski, RK Mantiuk | | 2018 |
| Dataset and metric for predicting visible differences Suplemental material K WOLSKI, D GIUNCHI, N YE, P DIDYK, K MYSZKOWSKI, M RADOSŁAW, ... | | 2018 |
| Neural Partitioning Pyramids for Denoising Monte Carlo Renderings K Wolski, K Myszkowski, HP Seidel, RK Mantiuk | | |
Karol MyszkowskiSenior Researcher, MPI InformatikVerified email at mpi-inf.mpg.de
