Deep Precomputed Radiance Transfer for Deformable Objects
Journal Article
Li, Y., Wiedemann, P., & Mitchell, K. (2019)
Deep Precomputed Radiance Transfer for Deformable Objects. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2(1), 1-16. https://doi.org/10.1145/3320284
We propose, DeepPRT, a deep convolutional neural network to compactly encapsulate the radiance transfer of a freely deformable object for rasterization in real-time.
With pre...
Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses
Journal Article
Casas, L., Fauconneau, M., Kosek, M., Mclister, K., & Mitchell, K. (2019)
Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses. Computers, 8(2), https://doi.org/10.3390/computers8020029
Shadow-retargeting maps depict the appearance of real shadows to virtual shadows given corresponding deformation of scene geometry, such that appearance is seamlessly maintain...
GPU-accelerated depth codec for real-time, high-quality light field reconstruction
Journal Article
Koniaris, B., Kosek, M., Sinclair, D., & Mitchell, K. (2018)
GPU-accelerated depth codec for real-time, high-quality light field reconstruction. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 1(1), 1-15. https://doi.org/10.1145/3203193
Pre-calculated depth information is essential for efficient light field video rendering, due to the prohibitive cost of depth estimation from color when real-time performance ...
From Faces to Outdoor Light Probes
Journal Article
Calian, D. A., Lalonde, J., Gotardo, P., Simon, T., Matthews, I., & Mitchell, K. (2018)
From Faces to Outdoor Light Probes. Computer Graphics Forum, 37(2), 51-61. doi:10.1111/cgf.13341
Image‐based lighting has allowed the creation of photo‐realistic computer‐generated content. However, it requires the accurate capture of the illumination conditions, a task n...
Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment
Journal Article
Pan, Y., Sinclair, D., & Mitchell, K. (2018)
Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment. Computer Animation and Virtual Worlds, 29(3-4), https://doi.org/10.1002/cav.1838
We present several mixed‐reality‐based remote collaboration settings by using consumer head‐mounted displays. We investigated how two people are able to work together in these...
Compressed Animated Light Fields with Real-time View-dependent Reconstruction
Journal Article
Koniaris, C., Kosek, M., Sinclair, D., & Mitchell, K. (2019)
Compressed Animated Light Fields with Real-time View-dependent Reconstruction. IEEE Transactions on Visualization and Computer Graphics, 25(4), 1666-1680. https://doi.org/10.1109/tvcg.2018.2818156
We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion....
Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering
Journal Article
Moon, B., Iglesias-Guitian, J. A., McDonagh, S., & Mitchell, K. (2017)
Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering. Computer Graphics Forum, 36(8), 600-612. https://doi.org/10.1111/cgf.13155
We propose a novel pre-filtering method that reduces the noise introduced by depth-of-field and motion blur effects in geometric
buffers (G-buffers) such as texture, normal an...
Real-Time Multi-View Facial Capture with Synthetic Training
Journal Article
Klaudiny, M., McDonagh, S., Bradley, D., Beeler, T., & Mitchell, K. (2017)
Real-Time Multi-View Facial Capture with Synthetic Training. Computer Graphics Forum, 36(2), 325-336. https://doi.org/10.1111/cgf.13129
We present a real-time multi-view facial capture system facilitated by synthetic training imagery. Our method is able to achieve high-quality markerless facial performance cap...
Pixel history linear models for real-time temporal filtering.
Journal Article
Iglesias-Guitian, J. A., Moon, B., Koniaris, C., Smolikowski, E., & Mitchell, K. (2016)
Pixel history linear models for real-time temporal filtering. Computer Graphics Forum, 35(7), 363-372. https://doi.org/10.1111/cgf.13033
We propose a new real-time temporal filtering and antialiasing (AA) method for rasterization graphics pipelines. Our method is based on Pixel History Linear Models (PHLM), a n...
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings
Journal Article
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...