 Phil Wang
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aece9c2a2a
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help researchers in need of 1d ddpm, ex. https://github.com/lucidrains/denoising-diffusion-pytorch/issues/116
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2022-11-05 11:42:00 -07:00 |
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Phil Wang
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aadaa7d288
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bring in the continuous time v-parameterized ddpm, validated to work locally, and which will be used for imagen-video replication
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2022-10-23 19:16:31 -07:00 |
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Phil Wang
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09b8a1c805
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some basic scaffold for elucidating diffusion and derived values
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2022-06-28 13:11:56 -07:00 |
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Phil Wang
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3bbb6ebf16
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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)
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2022-06-07 15:59:29 -07:00 |
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Phil Wang
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cf6db71985
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add gaussian diffusion where model predicts both noise and x_start, with a learned weighting between the two (experimental)
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2022-05-13 13:56:32 -07:00 |
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Phil Wang
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d412d8816b
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first pass at ddpm with learned variance
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2022-05-11 17:38:29 -07:00 |
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Phil Wang
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11f27032ba
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offer training class to easily train model off an image directory
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2020-09-06 14:22:44 -07:00 |
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Phil Wang
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ee76497b83
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complete training, sans sampling
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2020-09-05 23:41:02 -07:00 |
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Phil Wang
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c9855c8c74
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complete model portion
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2020-09-05 13:55:17 -07:00 |
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Phil Wang
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dda425dc61
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add scaffold
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2020-08-31 12:45:27 -07:00 |
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