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I noticed that during the training process, some frames are initially optimized very well, with PSNR values exceeding 30. However, when I perform evaluation after the entire map optimization process, the rendering results for the initial frames are not satisfactory. Is there any good way to alleviate this issue? (replica office2 result)
The text was updated successfully, but these errors were encountered:
lif314
changed the title
Question about 'forgetting' or 're-optimization'
Question about 'forgetting'
Feb 4, 2024
I think it is a trade-off between the efficiency and the accuray.
One option might be enlarging the reply buffer;
The other option would be adding some regularization terms to regularize the optimization of Gaussian parameters.
I noticed that during the training process, some frames are initially optimized very well, with PSNR values exceeding 30. However, when I perform evaluation after the entire map optimization process, the rendering results for the initial frames are not satisfactory. Is there any good way to alleviate this issue? (replica office2 result)
The text was updated successfully, but these errors were encountered: