Great collab with @adai.bsky.social, Norman Müller and @niessner.bsky.social

- Probabilistic diffusion formulation is well suited for ambiguous cases in single image reconstruction task
- Exploit the intermediate shape representation for efficient surface alignment loss for joint training
- Represent objects using disentangled shape encoding results in high-quality shapes

Learnings:
- Formulate single image scene reconstruction as conditional diffusion processes
- Learn a generative scene prior by denoising all objects simultaneously leads to more coherent arrangements

@ajdavison.bsky.social could go on this list :)

I dont know too much about the differences, e.g. the carries they use, but Nomad was good

Nomad eSim worked fine and was really convenient. It's a little bit more expensive but if you don't plan to livestream the entire conference, it'll be enough data.

Y