1 code implementation • 25 May 2024 • Philippe Weier, Alexander Rath, Élie Michel, Iliyan Georgiev, Philipp Slusallek, Tamy Boubekeur
Neural representations have shown spectacular ability to compress complex signals in a fraction of the raw data size.
no code implementations • 23 May 2024 • Liwen Wu, Sai Bi, Zexiang Xu, Fujun Luan, Kai Zhang, Iliyan Georgiev, Kalyan Sunkavalli, Ravi Ramamoorthi
In contrast to previous methods that use encoding functions with only angular input, we additionally cone-trace spatial features to obtain a spatially varying directional encoding, which addresses the challenging interreflection effects.
no code implementations • 1 May 2024 • Zheng Zeng, Valentin Deschaintre, Iliyan Georgiev, Yannick Hold-Geoffroy, Yiwei Hu, Fujun Luan, Ling-Qi Yan, Miloš Hašan
Our X$\rightarrow$RGB model explores a middle ground between traditional rendering and generative models: we can specify only certain appearance properties that should be followed, and give freedom to the model to hallucinate a plausible version of the rest.
no code implementations • 24 Nov 2023 • Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh
Nevertheless, existing algorithms have struggled to efficiently integrate importance sampling into machine learning frameworks.
no code implementations • 10 Jan 2021 • H. Peter Boswijk, Giuseppe Cavaliere, Anders Rahbek, Iliyan Georgiev
Instead, we use the concept of `weak convergence in distribution' to develop and establish novel conditions for validity of the wild bootstrap, conditional on the volatility process.
no code implementations • 4 Dec 2020 • Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski, Gurprit Singh
To find solutions, we present a set of algorithms that provide varying trade-offs between quality and speed, showing substantial improvements over prior state of the art.
Image Generation Graphics I.3.7