DreamFusion trains a Neural Radiance Field (NeRF) using a 2D diffusion model as a prior. The recommended
configuration can be found in the conf/training/nerf/dreamfusion directory. You can access and modify the parameters
to customize the hyperparameters according to your specific training requirements.
DreamFusion-DMTet fine tunes a DreamFusion checkpoint using a DMTet model. The recommended
configuration can be found in the conf/training/nerf/dreamfusion-dmtet directory. You can access and modify the parameters
to customize the hyperparameters according to your specific training requirements.
You will need to provide a pretrained model using DreamFusion in the model.resume_from_checkpoint parameter, and the
initial tetrahedral grid using the model.renderer.quartet_fileresume_from_checkpoint parameter.