Neural Field Reconstruction

Symmetry-Enforced Reconstructed Image

The objective is to reconstruct a given image using a neural network while enforcing symmetric image output. The contributions include training a neural network model using positional encoding with Fourier features based on the NeRF architecture. Additionally, other methods such as CNN and Transformer were applied for comparison.

Jiahe Huang
Jiahe Huang
Senior undergrad student, She/Her, DS-Eng @ Umich, ECE @ SJTU