Comments (1)
The key 'exp_avg' in the PyTorch optimizer state dictionary refers to the exponential moving average of gradients. This value is used by optimizers like Adam (Adaptive Moment Estimation) and RMSprop (Root Mean Square Prop) to address issues with noisy gradients during training.
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Related Issues (20)
- When I enter "get_scale.py," it shows "killed." HOT 22
- Is this an equation typo? HOT 1
- extract_features.py文件只在第一版中提供 HOT 8
- Possible to use a pre-trained gaussian splatting and export the SAM extraction into the .ply file? HOT 3
- Could you clarify the license please HOT 1
- About segmentation results HOT 3
- 关于diff-gaussian-rasterization_contrastive_f的问题 HOT 3
- the mask in rendering result HOT 4
- 关于使用mask作为prompt HOT 4
- Cannot create environment, Any suggestion? HOT 1
- Any webpage visualization? HOT 2
- Can't get the rendered masks in v2 branch HOT 2
- about downsample HOT 3
- ModuleNotFoundError: No module named 'diff_gaussian_rasterization' HOT 1
- Where is the function segment in class GaussianModel doing in the code? HOT 3
- Export the segmented 3D into the .ply file? HOT 4
- What is `_mask` for in GaussianModel? HOT 1
- Group masks with COLMAP HOT 1
- Why does my process be killed? HOT 2
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