nianticlabs/diffusionerf
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
This project helps computer vision researchers working with Neural Radiance Fields (NeRFs) create higher-quality 3D scene representations from a small number of 2D images. You input a collection of 2D images and their camera poses, and it outputs a more robust and visually consistent 3D NeRF model. Researchers studying 3D reconstruction and novel view synthesis will find this useful.
306 stars. No commits in the last 6 months.
Use this if you need to generate realistic 3D scenes or novel views from a limited set of input photographs and want to improve the robustness and detail of your NeRF models.
Not ideal if you are looking for a ready-to-use application for casual 3D modeling or don't have access to powerful GPU hardware.
Stars
306
Forks
17
Language
Python
License
MIT
Category
Last pushed
Nov 23, 2023
Commits (30d)
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