EMA: A Quiet Hyperparameter That Moves Diffusion Leaderboards
We benchmark EMA decay across pixel-, latent-, and representation-space diffusion models and show that the popular 0.9999 default silently trades recall for precision.
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EMA
blog
Struggling Toward Generative Model Evaluation
A blog post on why generative model evaluation is hard, how representation-based metrics became the default language, and why benchmarks are useful but never final.
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Blog Post number 4
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Blog Post number 2
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Blog Post number 1
整了一晚上终于整好了
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Blog Post number 4
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
整了一晚上终于整好了
cool posts
Blog Post number 4
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
整了一晚上终于整好了
diffusion
Struggling Toward Generative Model Evaluation
A blog post on why generative model evaluation is hard, how representation-based metrics became the default language, and why benchmarks are useful but never final.
EMA: A Quiet Hyperparameter That Moves Diffusion Leaderboards
We benchmark EMA decay across pixel-, latent-, and representation-space diffusion models and show that the popular 0.9999 default silently trades recall for precision.
evaluation
Struggling Toward Generative Model Evaluation
A blog post on why generative model evaluation is hard, how representation-based metrics became the default language, and why benchmarks are useful but never final.
generative-models
Struggling Toward Generative Model Evaluation
A blog post on why generative model evaluation is hard, how representation-based metrics became the default language, and why benchmarks are useful but never final.
training-dynamics
EMA: A Quiet Hyperparameter That Moves Diffusion Leaderboards
We benchmark EMA decay across pixel-, latent-, and representation-space diffusion models and show that the popular 0.9999 default silently trades recall for precision.