The stable-dreamfusion is a great work. I wonder to know the differences between Dreamfusion and dreambooth3d. Looking forward to receiving your response.
scanning the dreambooth3d paper, there's two main differences:
Using DreamBooth rather than Stable Diffusion (DreamFusion paper actually uses Imagen). This is already a feature in this repo I believe, where you can swap out any diffusion model you want.
Multi-staged training. They do a two-stage training where they initially train a nerf for a secondary data-augmented fine-tuning stage, where in each stage a varied-training version of the dreambooth model is used. I didn't read the whole thing but it seems they do this for multi-view consistency.
The stable-dreamfusion is a great work. I wonder to know the differences between Dreamfusion and dreambooth3d. Looking forward to receiving your response.