Markov-Chain Monte Carlo Sampling of Visibility Boundaries for Differentiable Rendering
SA Conference Papers ’24, December 03–06, 2024, Tokyo, Japan
Main Authors: | Xu, Peiyu, Bangaru, Sai, Li, Tzu-Mao, Zhao, Shuang |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
ACM|SIGGRAPH Asia 2024 Conference Papers
2025
|
Online Access: | https://hdl.handle.net/1721.1/158126 |
Similar Items
-
Importance Sampling BRDF Derivatives
by: Belhe, Yash, et al.
Published: (2024) -
Neural Monte Carlo Fluid Simulation
by: Jain, Pranav, et al.
Published: (2024) -
2D Monte Carlo simulation of a silicon waveguide-based single-photon avalanche diode for visible wavelengths
by: Yanikgonul, Salih, et al.
Published: (2019) -
Identification of safe airspace above waterways by Monte Carlo simulation
by: Choo, Megan Ming-Hui
Published: (2024) -
Non-nested adaptive timesteps in multilevel Monte Carlo computations
by: Giles, MB, et al.
Published: (2016)