Here is implementation of our paper on analyzing Score Distillation by viewing it as re-parametrization of DDIM, what suggests that the noise sample should be carefully chosen in SDS. In the PR we implement an improved method called SDI where the noise term is regressed via inverting DDIM.
The pull request contains implementation of SDI as a module in threestudio and an additional notebook with 2D optimization using different strategies of noise term sampling.
Here is implementation of our paper on analyzing Score Distillation by viewing it as re-parametrization of DDIM, what suggests that the noise sample should be carefully chosen in SDS. In the PR we implement an improved method called SDI where the noise term is regressed via inverting DDIM.
The paper is accepted to NeurIPS 2024. ArXiv: https://arxiv.org/abs/2405.15891 Webpage: https://lukoianov.com/sdi
The pull request contains implementation of SDI as a module in threestudio and an additional notebook with 2D optimization using different strategies of noise term sampling.