research
∙
03/06/2023
A Review of Deep Learning-Powered Mesh Reconstruction Methods
With the recent advances in hardware and rendering techniques, 3D models...
share
research
∙
07/30/2022
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synt...
research
∙
04/06/2022
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis
In this paper, we address the problem of texture representation for 3D s...
research
∙
03/27/2019
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
We treat shape co-segmentation as a representation learning problem and ...
research
∙
03/25/2019
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
We present LOGAN, a deep neural network aimed at learning generic shape ...
research
∙
12/06/2018
Learning Implicit Fields for Generative Shape Modeling
We advocate the use of implicit fields for learning generative models of...
research
∙
03/22/2018