📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs (2024)

First Author: Jing Yang

Attributed to: Scene Processing with Machine Learnable and Semantically Parametrized Scene Representations funded by UKRI FLF

Abstract

No abstract provided

Bibliographic Information

Type: Working Paper