Dreamfields-3D is modified from ashawkey's dreamfields-torch, and its forks of IV Pravdin and Pollinations.AI, released under MIT License.
The main improvements in this notebook & repository were done by Shengyu Meng (Simon), including allow visualizing training process in colab, export 360° video and 3D mesh model with vertex colour, and more augment options.This code is released under MIT License
The original dreamfields was issued under Apache-2.0 license, proposed by Jain, Ajay and Mildenhall, Ben and Barron, Jonathan T. and Abbeel, Pieter and Poole, Ben in their paper, Zero-Shot Text-Guided Object Generation with Dream Fields published on CVPR 2022. The main different of dreamfields-torch compared with original dreamfields is, dreamfields-torch applied the torch version of instant-ngp to replace the original NeRF as backend, and re-write most of the codes.
The technical bases of original dreamfields are NeRF: Neural Radiance Fields, released under MIT License, proposed by Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng in their paper NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis published on ECCV 2020, and CLIP: Connecting Text and Images model developed by OpenAI, released under MIT License.