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)

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Generative Adversarial Networks (GAN), Python Generative AI

Registered

2023-03-21