Unit
Realistic Graphics Lab
LaboratoryRelated publications (47)
Differentiable Physically Based Rendering: Algorithms, Systems and Applications
Physically based rendering methods can create photorealistic images by simulating the propagation and interaction of light in a virtual scene. Given a scene description including the shape of objects, participating media, material properties, etc., the sim ...
EPFL2022Efficient and Accurate Physically-Based Differentiable Rendering
Physically-based rendering algorithms generate photorealistic images of virtual scenes. By simulating light paths in a scene, complex physical effects such as shadows, reflections and volumetric scattering can be reproduced. Over the last decade, physicall ...
EPFL2022Differentiable Signed Distance Function Rendering
Wenzel Alban Jakob, Delio Aleardo Vicini, Sébastien Nicolas Speierer
Physically-based differentiable rendering has recently emerged as an attractive new technique for solving inverse problems that recover complete 3D scene representations from images. The inversion of shape parameters is of particular interest but also pose ...
ASSOC COMPUTING MACHINERY2022Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering
Wenzel Alban Jakob, Nicolas Julien Roussel, Delio Aleardo Vicini, Sébastien Nicolas Speierer
Dr.Jit is a new just-in-time compiler for physically based rendering and its derivative. Dr.Jit expedites research on these topics in two ways: first, it traces high-level simulation code (e.g., written in Python) and aggressively simplifies and specialize ...
ASSOC COMPUTING MACHINERY2022Light Path Gradients for Forward and Inverse Rendering
Physically based rendering is a process for photorealistic digital image synthesis and one of the core problems in computer graphics. It involves simulating the light transport, i.e. the emission, propagation, and scattering of light through a virtual scen ...
EPFL2021Path Replay Backpropagation: Differentiating Light Paths using Constant Memory and Linear Time
Wenzel Alban Jakob, Delio Aleardo Vicini, Sébastien Nicolas Speierer
Differentiable physically-based rendering has become an indispensable tool for solving inverse problems involving light. Most applications in this area jointly optimize a large set of scene parameters to minimize an objective function, in which case revers ...
ASSOC COMPUTING MACHINERY2021A Non-Exponential Transmittance Model for Volumetric Scene Representations
Wenzel Alban Jakob, Delio Aleardo Vicini
We introduce a novel transmittance model to improve the volumetric representation of 3D scenes. The model can represent opaque surfaces in the volumetric light transport framework. Volumetric representations are useful for complex scenes, and become increa ...
ASSOC COMPUTING MACHINERY2021Modeling specular transmission of complex fenestration systems with data-driven BSDFs
A Bidirectional Scattering Distribution Function (BSDF) describes how light from each incident direction is scattered (reflected and transmitted) by a simple or composite surface, such as a window shade. Compact, tabular BSDFs may be derived via interpolat ...
2021Radiative Backpropagation: An Adjoint Method for Lightning-Fast Differentiable Rendering
Wenzel Alban Jakob, Sébastien Nicolas Speierer, Merlin Eléazar Nimier-David
Physically based differentiable rendering has recently evolved into a powerful tool for solving inverse problems involving light. Methods in this area perform a differentiable simulation of the physical process of light transport and scattering to estimate ...
ASSOC COMPUTING MACHINERY2020Slope-Space Integrals for Specular Next Event Estimation
Wenzel Alban Jakob, Tizian Lucien Zeltner, Guillaume Rémi Bruno Loubet
Monte Carlo light transport simulations often lack robustness in scenes containing specular or near-specular materials. Widely used uni- and bidirectional sampling strategies tend to find light paths involving such materials with insufficient probability, ...
ASSOC COMPUTING MACHINERY2020