Comments (2)
ferric123
commented on September 1, 2024
Same question here, could you please release the training data?
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srrichter
commented on September 1, 2024
Hi,
thanks for the kind words. As it appears now, we will unfortunately not be able to release the full dataset, i.e. all of the G-buffers due to legal issues. This should not keep you from training your own models with the code, though -- several other projects have demonstrated how G-buffers can be captured from games and have released code for doing so. Also, please keep in mind that the G-buffers are only one component in the whole pipeline and strong results can be achieved even when just using rendered images without any G-buffers (as demonstrated in our ablation study in the paper).
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Related Issues (20)
- RuntimeError while training HOT 3
- usage
- Tensor size mismatch error for batch_size>1 - File:gb_encoder.py HOT 1
- step: Matching patches across datasets. Error num_samples = 0 HOT 3
- Train without using robust labels map from Mseg HOT 6
- Problem on MSeg, took 10 minutes for 1 image and only produced the gray scaled image? HOT 17
- Error Training -> Num_samples = 0
- License? HOT 2
- Error Training: RecursionError
- Datasets, txt and csv files. HOT 2
- ModuleNotFoundError: No module named 'epe'
- Is this repo still mantained???? can anyone run this repo without any issue? HOT 3
- Anyone knows the difference between robust label map and ground truth label map?
- How do you change the number of classes? HOT 1
- How to setup a dataset description like PfDDataset?
- IENet 2 training goes to Nan very quickly HOT 4
- Is labeling data needed for both datasets? HOT 3
- Can pre-training models such as checkpoint be provided?
- Normalisation of G-Buffers HOT 1
- Hugging Face
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