150 citations · 155 across the 7 of their papers we have counts for
8 papers
GNM Head: A Generative aNthropometric Model of the human head
Stylianos Ploumpis, Jan Bednarik, Gaspard Zoss +29
Parametric models of the human head are essential tools traditionally used in computer vision and graphics for animation, rendering, and reconstruction. More recently, they serve a…
Differentiable Polarized Path Tracing
Pramod Rao, Jérémy Riviere, Xilong Zhou +6
Physically based differentiable rendering has proven to be a powerful tool for inverse rendering problems (e.g., 3D reconstruction, reflectance estimation, lighting estimation). Ho…
VEPHand: View-Efficient Photometric Hand Performance Capture at Scale
Zhengyang Shen, Kai-Hung Chang, Erroll Wood +18
Robust, high-fidelity 3D hand capture, while fundamental to digital human creation, remains challenging with practical multi-view systems that balance rich photometry with the geom…
Automated design of compound lenses with discrete-continuous optimization
Arjun Teh, Delio Vicini, Bernd Bickel +2
We introduce a method that automatically and jointly updates both continuous and discrete parameters of a compound lens design, to improve its performance in terms of sharpness, sp…
StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting
Shakiba Kheradmand, Delio Vicini, George Kopanas +4
3D Gaussian splatting (3DGS) is a popular radiance field method, with many application-specific extensions. Most variants rely on the same core algorithm: depth-sorting of Gaussian…
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling
Yang Zheng, Menglei Chai, Delio Vicini +5
We present GroomLight, a novel method for relightable hair appearance modeling from multi-view images. Existing hair capture methods struggle to balance photorealistic rendering wi…
Solving Inverse PDE Problems using Grid-Free Monte Carlo Estimators
Ekrem Fatih Yılmazer, Delio Vicini, Wenzel Jakob
Modeling physical phenomena like heat transport and diffusion is crucially dependent on the numerical solution of partial differential equations (PDEs). A PDE solver finds the solu…
Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering
Wenzel Jakob, Sébastien Speierer, Nicolas Roussel +1
DrJit is a new just-in-time compiler for physically based rendering and its derivative. DrJit expedites research on these topics in two ways: first, it traces high-level simu…