4 citations · 5 across the 4 of their papers we have counts for
5 papers
Neural BSSRDF: Object Appearance Representation Including Heterogeneous Subsurface Scattering
Thomson TG, Jeppe Revall Frisvad, Ravi Ramamoorthi +1
Monte Carlo rendering of translucent objects with heterogeneous scattering properties is often expensive both in terms of memory and computation. If we do path tracing and use a hi…
A Hierarchical Architecture for Neural Materials
Bowen Xue, Shuang Zhao, Henrik Wann Jensen +1
Neural reflectance models are capable of reproducing the spatially-varying appearance of many real-world materials at different scales. Unfortunately, existing techniques such as N…
A Practical Ply-Based Appearance Modeling for Knitted Fabrics
Zahra Montazeri, Soren Gammelmark, Henrik W. Jensen +1
Modeling the geometry and the appearance of knitted fabrics has been challenging due to their complex geometries and interactions with light. Previous surface-based models have dif…
Photon-Driven Neural Path Guiding
Shilin Zhu, Zexiang Xu, Tiancheng Sun +5
Although Monte Carlo path tracing is a simple and effective algorithm to synthesize photo-realistic images, it is often very slow to converge to noise-free results when involving c…
Deep Photon Mapping
Shilin Zhu, Zexiang Xu, Henrik Wann Jensen +2
Recently, deep learning-based denoising approaches have led to dramatic improvements in low sample-count Monte Carlo rendering. These approaches are aimed at path tracing, which is…