Atelier: Learning Local Self-Supervised Features for CryoEM Volumes via Hypernetworks
Atelier is a self-supervised framework that amortizes INR fitting for reconstructed cryoEM maps, a transformer-based hypernetwork that generates high-fidelity reconstructions across a wide range of protein structures, including large multi-subunit assemblies.
Phillip Lo, Sudarshan Babu, D. Kimanius et al.
· 0 citations