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Thank you for your excellent work on MoGe! I'm currently fine-tuning the model using my own data, and while the training code is progressing well, I find that aligning the predicted pointmap with the ground truth during training is an important step.
I have been trying to achieve this alignment based on Equation 4 and Algorithm 1 in your paper. However, my implementation of the ROE solver has not yielded satisfactory results. Would it be possible for you to share the implementation of the ROE solver mentioned in the paper? It would be incredibly helpful for my experiments.
Thank you for your time and contributions!
The text was updated successfully, but these errors were encountered:
Our team is currently discussing the release plan. We aim to release the training and evaluation code within the next few weeks. If possible, we plan to make the alignment code available first to facilitate your implementation. We hope you understand our need to protect the originality of our research while the work is still in its pre-publication stage.
In the meantime, for your own implementation, you may find more detailed descriptions of the solver algorithm in the supplementary materials (Algorithms 2–5). I hope this helps!
Thank you for your excellent work on MoGe! I'm currently fine-tuning the model using my own data, and while the training code is progressing well, I find that aligning the predicted pointmap with the ground truth during training is an important step.
I have been trying to achieve this alignment based on Equation 4 and Algorithm 1 in your paper. However, my implementation of the ROE solver has not yielded satisfactory results. Would it be possible for you to share the implementation of the ROE solver mentioned in the paper? It would be incredibly helpful for my experiments.
Thank you for your time and contributions!
The text was updated successfully, but these errors were encountered: