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wassname/denoising-diffusion-pytorch
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mirror of https://github.com/wassname/denoising-diffusion-pytorch.git synced 2026-10-03 12:20:18 +08:00
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c44d3ea01deda4925c32cd63d85269e7c15b1e3f
denoising-diffusion-pytorch/denoising_diffusion_pytorch
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Phil Wang c44d3ea01d learned noise schedule seems to be working, allow for one to make the monotonic net learn a bit more slowly than the unet
2022-06-08 12:34:07 -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
learned noise schedule seems to be working, allow for one to make the monotonic net learn a bit more slowly than the unet
2022-06-08 12:34:07 -07:00
denoising_diffusion_pytorch.py
use a non-sinusoidal embedded condition for continuous time gaussian diffusion conditioned on log(snr)
2022-06-07 21:15:27 -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
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