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trained on DTU , DTU evaluation results doesn't match paper metric. #38

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AsDeadAsADodo opened this issue Oct 7, 2023 · 7 comments

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@AsDeadAsADodo
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- Acc. Comp. Overall
paper 0.321 0.289 0.305
reproduced 0.364 0.275 0.3195

Only trained on DTU dataset with batchsize set to 1 and no fine-tuning.

@wtyuan96
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wtyuan96 commented Oct 8, 2023

Maybe you can select the best model according to the results of validation set.

@AsDeadAsADodo
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Maybe you can select the best model according to the results of validation set.

Thanks for replying. It turns out this issue was brought before #13
The results I showed above based on gipuma method, I'll try normal fusion.

@AsDeadAsADodo
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AsDeadAsADodo commented Oct 10, 2023

Best model of all epoches, switched to normal fusion got this result.

The ply files size goes to 7.4GB from 6.4GB

- Acc. Comp. Overall
paper 0.321 0.289 0.305
reproduced Gipuma 0.364 0.275 0.3195
reproduced Normal 0.3474 0.3206 0.334
pretrained Gipuma 0.3462 0.2621 0.304
pretrained Normal 0.328 0.3013 0.31465

Edit: add pretrained results

@Gwencong
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Best model of all epoches, switched to normal fusion got this result.

The ply files size goes to 7.4GB from 6.4GB

  • Acc. Comp. Overall
    paper 0.321 0.289 0.305
    reproduced Gipuma 0.364 0.275 0.3195
    reproduced Normal 0.3474 0.3206 0.334
    pretrained Gipuma 0.3462 0.2621 0.304
    pretrained Normal 0.328 0.3013 0.31465
    Edit: add pretrained results

I have encountered the same problem. Have you successfully reproduced the paper results? My reproduced results are the same as yours,the overall is 0.319

@AsDeadAsADodo
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Best model of all epoches, switched to normal fusion got this result.
The ply files size goes to 7.4GB from 6.4GB

  • Acc. Comp. Overall
    paper 0.321 0.289 0.305
    reproduced Gipuma 0.364 0.275 0.3195
    reproduced Normal 0.3474 0.3206 0.334
    pretrained Gipuma 0.3462 0.2621 0.304
    pretrained Normal 0.328 0.3013 0.31465
    Edit: add pretrained results

I have encountered the same problem. Have you successfully reproduced the paper results? My reproduced results are the same as yours,the overall is 0.319

No, by now I can only presume that's the hardwares fault. I've confirmed the environment with Yikang Ding.
What GPU you trained on?

@Gwencong
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Best model of all epoches, switched to normal fusion got this result.
The ply files size goes to 7.4GB from 6.4GB

  • Acc. Comp. Overall
    paper 0.321 0.289 0.305
    reproduced Gipuma 0.364 0.275 0.3195
    reproduced Normal 0.3474 0.3206 0.334
    pretrained Gipuma 0.3462 0.2621 0.304
    pretrained Normal 0.328 0.3013 0.31465
    Edit: add pretrained results

I have encountered the same problem. Have you successfully reproduced the paper results? My reproduced results are the same as yours,the overall is 0.319

No, by now I can only presume that's the hardwares fault. I've confirmed the environment with Yikang Ding. What GPU you trained on?

I am using RTX 3090 for training

@tzzzzx0-o
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Best model of all epoches, switched to normal fusion got this result.
The ply files size goes to 7.4GB from 6.4GB

  • Acc. Comp. Overall
    paper 0.321 0.289 0.305
    reproduced Gipuma 0.364 0.275 0.3195
    reproduced Normal 0.3474 0.3206 0.334
    pretrained Gipuma 0.3462 0.2621 0.304
    pretrained Normal 0.328 0.3013 0.31465
    Edit: add pretrained results

I have encountered the same problem. Have you successfully reproduced the paper results? My reproduced results are the same as yours,the overall is 0.319

No, by now I can only presume that's the hardwares fault. I've confirmed the environment with Yikang Ding. What GPU you trained on?

I am using RTX 3090 for training

hey, sorry to bother you, have you solved the problem? I have the same problem, and im using RTX 3090 also.

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