Search Results for author: Geng Lin

Found 2 papers, 2 papers with code

Learning Generative Models using Denoising Density Estimators

2 code implementations8 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.

Denoising Density Estimation

Learning to Generate Dense Point Clouds with Textures on Multiple Categories

1 code implementation22 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.

3D Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.