Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields

Rohith Agaram; Shaurya Dewan; Rahul Sajnani; Adrien Poulenard; K. Madhava Krishna; Srinath Sridhar

doi:10.1109/cvpr52729.2023.00437

CVPR2023顶会

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields

Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, K. Madhava Krishna, Srinath Sridhar

DOI 出版方

2023年份

5顶会引用

摘要

cs.brown.edu/projects/canonicalfields Figure 1 . We present Canonical Field Network (CaFi-Net), a self-supervised method for 3D position and orientation (pose) canonicalization of objects represented as neural fields. We specifically focus on neural radiance fields (NeRFs) fitted to raw RGB images of arbitrarily posed objects (left), and obtain a canonical field (fixed novel view shown on right) where all objects in a category are consistently positioned and oriented.