1 code implementation • 22 Dec 2019 • Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker
In this paper, we propose a novel approach for reconstructing point clouds from RGB images.
2 code implementations • 8 Jan 2020 • Siavash A. Bigdeli, Geng Lin, Tiziano Portenier, L. Andrea Dunbar, Matthias Zwicker
Learning probabilistic models that can estimate the density of a given set of samples, and generate samples from that density, is one of the fundamental challenges in unsupervised machine learning.
Ranked #1 on Density Estimation on UCI MINIBOONE
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).
1 code implementation • ICCV 2023 • Geng Lin, Chen Gao, Jia-Bin Huang, Changil Kim, Yipeng Wang, Matthias Zwicker, Ayush Saraf
Video matting has broad applications, from adding interesting effects to casually captured movies to assisting video production professionals.
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.