3D-aware GANs based on NeRF (arXiv). This repository contains the code of the paper, CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis. The problem of mirror symmetry refers to the sudden change of the direction of the bangs near the yaw angle of pi/2. We propose to use an auxiliary discriminator to solve this problem. Note that in the initial stage of training, the auxiliary discriminator must dominate the generator more than the main discriminator does. Otherwise, if the main discriminator dominates the generator, the mirror symmetry problem will still occur. In practice, progressive training is able to guarantee this. We have trained many times from scratch. Adding an auxiliary discriminator stably solves the mirror symmetry problem.

Features

  • Demo videos
  • Model interpolation (web demo)
  • Download the pre-trained checkpoints
  • Pre-trained checkpoints
  • 3D-aware GANs
  • Based on NeRF (arXiv)

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow CIPS-3D

CIPS-3D Web Site

Other Useful Business Software
Demo Series - Small Business Backup By Veeam Icon
Demo Series - Small Business Backup By Veeam

Learn how to protect your Microsoft 365 data, with simple, actionable tips today.

Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
Watch Demo Series
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of CIPS-3D!

Additional Project Details

Programming Language

Python

Related Categories

Python Generative Adversarial Networks (GAN), Python Generative AI

Registered

2023-03-21