1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2020
Learning Generative Models using Denoising Density Estimators
Siavash A. Bigdeli, Geng Lin, Tiziano Portenier +2
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…
cs.CV2019★ 1 cited
Learning to Generate Dense Point Clouds with Textures on Multiple Categories
Tao Hu, Geng Lin, Zhizhong Han +1
3D reconstruction from images is a core problem in computer vision. With recent advances in deep learning, it has become possible to recover plausible 3D shapes even from single RG…