2 citations · 3 across the 10 of their papers we have counts for
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cs.GR2025
MCMC: Bridging Rendering, Optimization and Generative AI
Gurprit Singh, Wenzel Jakob
Generative artificial intelligence (AI) has made unprecedented advances in vision language models over the past two years. During the generative process, new samples (images) are g…
cs.GR2024★ 1 cited
Jump Restore Light Transport
Sascha Holl, Gurprit Singh, Hans-Peter Seidel
Markov chain Monte Carlo (MCMC) algorithms are indispensable when sampling from a complex, high-dimensional distribution by a conventional method is intractable. Even though MCMC i…
cs.GR2023★ 2 cited
Perceptual error optimization for Monte Carlo animation rendering
Miša Korać, Corentin Salaün, Iliyan Georgiev +4
Independently estimating pixel values in Monte Carlo rendering results in a perceptually sub-optimal white-noise distribution of error in image space. Recent works have shown that…