Yu Guo, Adrian Jarabo, and Shuang Zhao

Animesh Karnewar, Oliver Wang, Tobias Ritschel, Niloy J. Mitra 3DV 2022 Abstract We introduce 3inGAN, an unconditional 3D generative model trained from 2D images of a single self-similar 3D scene. Such a model can be used to produce 3D “remixes” …

Animesh Karnewar, Tobias Ritschel, Oliver Wang, Niloy J. Mitra Siggraph 2022 Abstract In many recent works, multi-layer perceptions (MLPs) have been shown to be suitable for modeling complex spatially-varying functions including images and 3D scenes. Although the MLPs are able …

Dario Lanza, Adrian Jarabo, Belen Masia ACM Symposium on Applied Perception 2022 Abstract Translucent materials are ubiquitous in the real world, from organic materials such as food or human skin, to synthetic materials like plastic or rubber. While multiple models …

Tomáš Iser, Tobias Rittig, Emilie Nogué, Thomas Nindel, Alexander Wilkie Eurographics Symposium on Rendering (EGSR) Abstract We present a spectral measurement approach for the bulk optical properties of translucent materials using only low-cost components. We focus on the translucent inks …

Emilie Nogué, Yiming Lin, Abhijeet Ghosh July 2022 Eurographics Symposium on Rendering (EGSR) Abstract We present a practical method for measurement of spatially varying isotropic surface reflectance of planar samples using a combination of single-view polarization imaging and near-field display …

Arthur Firmino, Jeppe Revall Frisvad, Henrik Wann Jensen Computer Graphics Forum Abstract Image denoising based on deep learning has become a powerful tool to accelerate Monte Carlo rendering. Deep learning techniques can produce smooth images using a low sample count. …