no code implementations • 22 Mar 2024 • Jiaye Wu, Saeed Hadadan, Geng Lin, Matthias Zwicker, David Jacobs, Roni Sengupta
In this paper, we present GaNI, a Global and Near-field Illumination-aware neural inverse rendering technique that can reconstruct geometry, albedo, and roughness parameters from images of a scene captured with co-located light and camera.
no code implementations • 3 May 2023 • Saeed Hadadan, Geng Lin, Jan Novák, Fabrice Rousselle, Matthias Zwicker
We train our radiance network and optimize scene parameters simultaneously using a loss consisting of both a photometric term between renderings and the multi-view input images, and our radiometric prior (the residual term).
no code implementations • 31 Jan 2022 • Saeed Hadadan, Matthias Zwicker
We introduce Differentiable Neural Radiosity, a novel method of representing the solution of the differential rendering equation using a neural network.
1 code implementation • 26 May 2021 • Saeed Hadadan, Shuhong Chen, Matthias Zwicker
We introduce Neural Radiosity, an algorithm to solve the rendering equation by minimizing the norm of its residual similar as in traditional radiosity techniques.