Search Results for author:
Found 3 papers, 0 papers with code
Neural Point Catacaustics for Novel-View Synthesis of Reflections
View-dependent effects such as reflections pose a substantial challenge for image-based and neural rendering algorithms.
Deep scene-scale material estimation from multi-view indoor captures
The movie and video game industries have adopted photogrammetry as a way to create digital 3D assets from multiple photographs of a real-world scene.
Neural BRDF Representation and Importance Sampling
Additionally, we propose a novel approach to make our representation amenable to importance sampling: rather than inverting the trained networks, we learn to encode them in a more compact embedding that can be mapped to parameters of an analytic BRDF for which importance sampling is known.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
