Improving Neural Radiance Field Inpainting with Masked Adversarial Learning and Latent Diffusion Customization

The proposed framework leverages a latent diffusion model and masked adversarial training to improve the quality and consistency of neural radiance field (NeRF) inpainting, achieving state-of-the-art performance on various real-world scenes.