Phil Wang 532178a6a3 assume when sampling all batch samples are at the same time, and do not noise for the last time step

2022-06-07 16:12:44 -07:00

..

__init__.py

get working version of gaussian diffusion with continuous time (only beta linear schedule for now, but will eventually contain alpha cosine schedule as well as parameterized, learned monotonic MLP)

2022-06-07 15:59:29 -07:00

continuous_time_gaussian_diffusion.py

assume when sampling all batch samples are at the same time, and do not noise for the last time step

2022-06-07 16:12:44 -07:00

denoising_diffusion_pytorch.py

get working version of gaussian diffusion with continuous time (only beta linear schedule for now, but will eventually contain alpha cosine schedule as well as parameterized, learned monotonic MLP)

2022-06-07 15:59:29 -07:00

learned_gaussian_diffusion.py

final cleanup

2022-05-12 13:58:16 -07:00

weighted_objective_gaussian_diffusion.py

add gaussian diffusion where model predicts both noise and x_start, with a learned weighting between the two (experimental)

2022-05-13 13:56:32 -07:00