3 Commits

Author	SHA1	Message	Date
Jeremy Reizenstein	83bacda8fb	lint ... Summary: Fix recent flake complaints Reviewed By: MichaelRamamonjisoa Differential Revision: D51811912 fbshipit-source-id: 65183f5bc7058da910e4d5a63b2250ce8637f1cc	2023-12-04 13:43:34 -08:00
Emilien Garreau	35badc0892	Fix inversion between fine and coarse implicit_functions ... Summary: Fine implicit function was called before the coarse implicit function. Reviewed By: shapovalov Differential Revision: D46224224 fbshipit-source-id: 6b1cc00cc823d3ea7a5b42774c9ec3b73a69edb5	2023-05-26 08:33:54 -07:00
Emilien Garreau	813e941de5	Add the OverfitModel ... Summary: Introduces the OverfitModel for NeRF-style training with overfitting to one scene. It is a specific case of GenericModel. It has been disentangle to ease usage. ## General modification 1. Modularize a minimum GenericModel to introduce OverfitModel 2. Introduce OverfitModel and ensure through unit testing that it behaves like GenericModel. ## Modularization The following methods have been extracted from GenericModel to allow modularity with ManyViewModel: - get_objective is now a call to weighted_sum_losses - log_loss_weights - prepare_inputs The generic methods have been moved to an utils.py file. Simplify the code to introduce OverfitModel. Private methods like chunk_generator are now public and can now be used by ManyViewModel. Reviewed By: shapovalov Differential Revision: D43771992 fbshipit-source-id: 6102aeb21c7fdd56aa2ff9cd1dd23fd9fbf26315	2023-03-24 07:27:39 -07:00