Neural radiance selector: find the best 2D representations of 3D data for CLIP based 3D tasks

• Main Authors: Yang, Xiaofeng, Liu, Fayao, Lin, Guosheng
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; CLIP; NeRF
• Online Access: https://hdl.handle.net/10356/179095
• Institution: Nanyang Technological University

Representing the world in 3D space provides vivid texture and depth information. However, 3D datasets currently do not match the scale of 2D datasets. There is a growing trend in representing 3D data as multi-view 2D images and using large-scale 2D models, to solve 3D tasks. In this work, we present...