Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., …Novák, J. (2016)
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum, 35(4), 107-117. https://doi.org/10.1111/cgf.12954
We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide ran...
IRIDiuM: immersive rendered interactive deep media
Koniaris, B., Israr, A., Mitchell, K., Huerta, I., Kosek, M., Darragh, K., …Moon, B. (2016)
IRIDiuM: immersive rendered interactive deep media. https://doi.org/10.1145/2929490.2929496
Compelling virtual reality experiences require high quality imagery as well as head motion with six degrees of freedom. Most existing systems limit the motion of the viewer (p...
Stereohaptics: a haptic interaction toolkit for tangible virtual experiences
Israr, A., Zhao, S., McIntosh, K., Schwemler, Z., Fritz, A., Mars, J., …Mitchell, K. (2016)
Stereohaptics: a haptic interaction toolkit for tangible virtual experiences. In SIGGRAPH '16: ACM SIGGRAPH 2016 Studio. https://doi.org/10.1145/2929484.2970273
With a recent rise in the availability of affordable head mounted gear sets, various sensory stimulations (e.g., visual, auditory and haptics) are integrated to provide seamle...
User, metric, and computational evaluation of foveated rendering methods
Swafford, N. T., Iglesias-Guitian, J. A., Koniaris, C., Moon, B., Cosker, D., & Mitchell, K. (2016)
User, metric, and computational evaluation of foveated rendering methods. In SAP '16 Proceedings of the ACM Symposium on Applied Perception. https://doi.org/10.1145/2931002.2931011
Perceptually lossless foveated rendering methods exploit human perception by selectively rendering at different quality levels based on eye gaze (at a lower computational cost...
Adaptive polynomial rendering
Moon, B., McDonagh, S., Mitchell, K., & Gross, M. (2016)
Adaptive polynomial rendering. ACM transactions on graphics, 35(4), 1-10. https://doi.org/10.1145/2897824.2925936
In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ray tracing, by reducing noise contained in rendered images while preservin...
Online view sampling for estimating depth from light fields
Kim, C., Subr, K., Mitchell, K., Sorkine-Hornung, A., & Gross, M. (2015)
Online view sampling for estimating depth from light fields. In 2015 IEEE International Conference on Image Processing (ICIP)https://doi.org/10.1109/icip.2015.7350981
Geometric information such as depth obtained from light fields
finds more applications recently. Where and how to sample
images to populate a light field is an important probl...
Latency aware foveated rendering in unreal engine 4
Swafford, N. T., Cosker, D., & Mitchell, K. (2015)
Latency aware foveated rendering in unreal engine 4. In CVMP '15 Proceedings of the 12th European Conference on Visual Media Productionhttps://doi.org/10.1145/2824840.2824863
We contribute a foveated rendering implementation in Unreal Engine 4 (UE4) and a straight-forward metric to allow calculation of rendered foveal region sizes to compensate for...
Real-time variable rigidity texture mapping
Koniaris, C., Mitchell, K., & Cosker, D. (2015)
Real-time variable rigidity texture mapping. In CVMP '15 Proceedings of the 12th European Conference on Visual Media Production. https://doi.org/10.1145/2824840.2824850
Parameterisation of models is typically generated for a single pose, the rest pose. When a model deforms, its parameterisation characteristics change, leading to distortions i...
Guided ecological simulation for artistic editing of plant distributions in natural scenes
Bradbury, G. A., Subr, K., Koniaris, C., Mitchell, K., & Weyrich, T. (2015)
Guided ecological simulation for artistic editing of plant distributions in natural scenes. The Journal of Computer Graphics Techniques, 4(4),
In this paper we present a novel approach to author vegetation cover of large natural scenes. Unlike stochastic scatter-instancing tools for plant placement (such as multi-cla...
Carpet unrolling for character control on uneven terrain
Miller, M., Holden, D., Al-Ashqar, R., Dubach, C., Mitchell, K., & Komura, T. (2015)
Carpet unrolling for character control on uneven terrain. In MIG '15 Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Gameshttps://doi.org/10.1145/2822013.2822031
We propose a type of relationship descriptor based on carpet unrolling that computes the joint positions of a character based on the sum of relative vectors originating from a...