We propose, DeepPRT, a deep convolutional neural network to compactly encapsulate the radiance transfer of a freely deformable object for rasterization in ...
We propose, DeepPRT, a deep convolutional neural network to compactly encapsulate the radiance transfer of a freely deformable object for rasterization in.
We propose, DeepPRT, a deep convolutional neural network to compactly encapsulate the radiance transfer of a freely deformable object for rasterization in ...
We propose, DeepPRT, a deep convolutional neural network to compactly encapsulate the radiance transfer of a freely deformable object for rasterization in ...
A compact representation of PRT for deformable objects with fixed memory consumption is presented, which solves diverse non-linear deformations and is shown ...
Our results show realistic effects such as soft shadows, inter-reflections, and subsurface scattering from textural features, mapped onto dynamic models and ...
Missing: Deep | Show results with:Deep
Jan 6, 2021 · Transfer vectors map Source Radiance into exit radiance and are precomputed offline using a complex light transport simulation.
Missing: Deep | Show results with:Deep
Deep precomputed radiance transfer for deformable objects. Y Li, P Wiedemann, K Mitchell. Proceedings of the ACM on Computer Graphics and Interactive Techniques ...
Deep Precomputed Radiance Transfer for Deformable Objects · Yue LiP. Wiedemann ... All-Frequency Precomputed Radiance Transfer for Glossy Objects · Xinguo ...
We present a new, real-time method for rendering diffuse and glossy objects in low-frequency lighting environments that cap- tures soft shadows, ...