Tag: neural radiance fields

AI Computer Vision & Graphics Machine Learning & Data Science Research

IITM & UT Austin’s Generalizable NeRF Transformer Demonstrates Transformers’ Capabilities for Graphical Rendering

In the new paper Is Attention All NeRF Needs?, a research team from the Indian Institute of Technology Madras and the University of Texas at Austin proposes Generalizable NeRF Transformer (GNT), a pure and universal transformer-based architecture for efficient on-the-fly reconstruction of NeRFs. The work demonstrates that a pure attention mechanism suffices for learning a physically-grounded rendering process.