Juan Raúl Padrón Griffe

About me
I am a postdoctoral researcher in Junqiu Zhu's group at Shandong University. My research focuses on photorealistic rendering, including appearance modeling for complex multi-scale materials (human skin, hair, fur, scales, feathers, cosmetics, clothes, and granular materials), light transport simulation algorithms and data-driven representations. I am also interested in inverse rendering, differentiable rendering and 3D reconstruction.

I completed my PhD dissertation, Modeling and Rendering of Multiscale Materials, at the Graphics and Imaging Lab, Universidad de Zaragoza. I was a Marie Sklodowska-Curie Fellow of the EU Project PRIME, advised by Adolfo Muñoz and Adrian Jarabo. I hold an M.Sc. in Informatics from the Technical University of Munich with a major in Graphics and Vision, and a B.Sc. in Computer Science from the Universidad Central de Venezuela with a major in Computer Graphics.

Projects

Neural Relighting

2019, Oct 18    

For my guided research project, we present an image-based relighting method that can synthesize scenes under novel lighting using image synthesis models based on deep learning. Our method extends the Deffered Neural Rendering pipeline to perform relighting tasks. This pipeline combines the traditional graphics pipeline with learnable components: neural textures and deferred neural ren- derer. We evaluate extensively the effectiveness of our approach in several experiments, on both synthetic and real scenes. Results prove that Neural Rendering pipeline is able to reproduce complex relighting tasks like modeling high frequency lighting effects such as specularities and shadows.

Results on Light Stage Dataset

Helmet Front Fighting Knight Plant

Advisor: Justus Thies Supervisor: Matthias Niessner

Github repository Document

Twitter
# Neural Rendering # Relighting