DIOLATZIS , Stavros

Creating realistic images of virtual scenes is a process that involves simulating light interactions, traditionally through path tracing and Monte Carlo methods, as light gets transmitted and reflected before reaching the virtual camera. This process is being used extensively in different industries such as movies, video games, physical...

Neural rendering algorithms introduce a fundamentally new approach for photorealistic rendering, typically by learning a neural representation of illumination on large numbers of ground truth images. When training for a given variable scene, i.e., changing objects, materials, lights and viewpoint, the space D of possible training data instances...

Path tracing is now the standard method used to generate realistic imagery in many domains, e.g., film, special effects, architecture etc. Path guiding has recently emerged as a powerful strategy to counter the notoriously long computation times required torender such images. We present a practical path guiding algorithm that performs product...

Recent work has demonstrated that Generative Adversarial Networks (GANs) can be trained to generate 3D content from2D image collections, by synthesizing features for neural radiance field rendering. However, most such solutions generateradiance, with lighting entangled with materials. This results in unrealistic appearance, since lighting...

In the wake of many new ML-inspired approaches for reconstructing and representing high-quality 3D content, recent hybrid and explicitly learned representations exhibit promising performance and quality characteristics. However, their scaling to higher dimensions is challenging, e.g. when accounting for dynamic content with respect to...

Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured scenes, with recent methods allowing interactive free-viewpoint navigation and fast training for scene reconstruction. However, the implicit representations used by these methods — often including neural networks and complex encodings— make them difficult to...