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训练迭代14500次,为什么效果很差还存在多面问题? #34

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jim-1ee opened this issue Dec 28, 2023 · 6 comments
Open

训练迭代14500次,为什么效果很差还存在多面问题? #34

jim-1ee opened this issue Dec 28, 2023 · 6 comments

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@jim-1ee
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jim-1ee commented Dec 28, 2023

WechatIMG127

@throb081
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您好,我这边也想跑跑这个代码,但是我出了点问题,想咨询一下可以么,有偿。主要是这个BUG:
DeprecationWarning: Type google.protobuf.pyext._message.ScalarMapContainer uses PyType_Spec with a metaclass that has custom tp_new. This is deprecated and will no longer be allowed in Python 3.14.

@jim-1ee
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jim-1ee commented Mar 14, 2024 via email

@Deaddawn
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Deaddawn commented May 7, 2024

WechatIMG127

same problem here

@Deaddawn
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Deaddawn commented May 7, 2024

您好,我这边也想跑跑这个代码,但是我出了点问题,想咨询一下可以么,有偿。主要是这个BUG: DeprecationWarning: Type google.protobuf.pyext._message.ScalarMapContainer uses PyType_Spec with a metaclass that has custom tp_new. This is deprecated and will no longer be allowed in Python 3.14.

Just a warning, should be ok for your training process

@jimmychuang95
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Same here, 15000 iterations still occur severe Janus problem!

@viridityzhu
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viridityzhu commented Jul 24, 2024

Same here. tried several prompts, such as corgi, panda, and man in a suit. All occurred severe Janus problem

--- update ---
the previous poor results were because when executing this command:

python main.py --config-name=base prompt.prompt="<prompt>"

the prompt for point-E was set to "a human face" as defined in base.yaml.

Instead, after specifying init.prompt="<point-e prompt>", I got good results without Janus problem.

BTW, it seems that the default configuration (conf/base.yaml) does not enable full functions, particularly the compactness-based densification and pruning, which are major contributions of the paper. Why are they not enabled? Wouldn't this lead to sub-optimal results?

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