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Training Setting #45

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HalvesChen opened this issue Dec 24, 2024 · 1 comment
Closed

Training Setting #45

HalvesChen opened this issue Dec 24, 2024 · 1 comment

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@HalvesChen
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Hi,
I notice that your method requires much more epoch(330) than other methods. Have you compared the reconstruction performance of the common setting (epoch=50)?

@ShiFengyuan1999
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Hi @HalvesChen, we follow MAGVIT-v2 and adopt a long training. VQ methods with small codebook size (like 1024 and 4096) and low code dimension (e.g., 8 or 16) may saturate quickly in reconstruction performance, thus requiring fewer training epochs. IBQ gains further improvements due to the longer training, benefitting from large model compacity, i.e., large-size codebook, high-dimension codes, large model size, and high codebook utilization.

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