3 papers
cs.CE2026
Diffusion Restore: Real-Time Markov Chain Monte Carlo Light Transport
Sascha Holl, Gurprit Singh, Hans-Peter Seidel
We present Diffusion Restore, a real-time framework for diffusion-based MCMC light transport. MCMC methods are highly suitable for sampling from complex high-dimensional distributi…
cs.CE2026
Rao-Blackwellized Markov chain Monte Carlo Light Transport
Sascha Holl, Gurprit Singh, Hans-Peter Seidel
In light transport simulation, Markov chain Monte Carlo methods are particularly effective at exploring regions with complex lighting characteristics. However, estimator variance i…
cs.CE2026
Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations
Sascha Holl, Jente Vandersanden, Gurprit Singh +1
Score-based generative modeling (SBGM) has achieved state-of-the-art performance in image generation, with the quality of generated images being highly dependent on the design of t…