What is recorded here?
Used gradients from a separately trained classifier to steer diffusion sampling, with architecture ablations and upsampling integration to control image quality versus diversity.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Diffusion and earlier conditional score ideas are inherited. Classifier guidance is distinct from classifier-free guidance; stronger guidance can reduce diversity and does not guarantee unbiased coverage or image correctness.
Read the original work
- Diffusion Models Beat GANs on Image Synthesis
- Dhariwal and Nichol: classifier-guided diffusion image synthesis — author/institutional project
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Prafulla Dhariwal; Alex Nichol
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Dhariwal and Nichol: classifier-guided diffusion image synthesis
Used gradients from a separately trained classifier to steer diffusion sampling, with architecture ablations and upsampling integration to control image quality versus diversity.
Scientific scope
Diffusion and earlier conditional score ideas are inherited. Classifier guidance is distinct from classifier-free guidance; stronger guidance can reduce diversity and does not guarantee unbiased coverage or image correctness.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Prafulla Dhariwal; Alex Nichol
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.