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### Model/Pipeline/Scheduler description
Achieving faithful image-to-noise inversion with Denoising Diffusion models remains a challenge, particularly for more recent models trained to generate image…
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### Is your feature request related to a problem?
Our default setup for RHIME inversions currently uses mf_variability and mf_repeatability in calculating the measurement-model mismatch error for AGA…
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### Description
I built the same model and inverted it using CPU and GPU respectively, and the computed kernel is very different. I tested the latest specfem3d version 4.1.1, old versions 4.1.0 and 4…
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It seems like the InversionFromLogitsModel is the method mentioned in the paper 'Language Model Inversion.' Is there a detailed description of the InversionFromLogitsEmbModel method?
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in `tokenize_data.py`
```python
def embed_dataset_batch(model: InversionModel, batch: Dict) -> Dict:
assert "input_ids" in batch.keys(), f"invalid keys {batch.keys()}"
assert hasattr(mod…
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First of all, thank you very much for your great work. I was testing the different encoder models and found it weird, that styleganex_edit_age.pt and latent_vector_w_blond_hair rendered the input imag…
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Hi. While running your framework, we encountered a problem with the lack of a target model for the plgmi.py attack. On Google disk there are only discriminators and generators, which do not fit the ro…
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### Problem description
I am inverting some marine ERT data, using floating cable. I am fixing the bathymetry and resistivity value of the water layer, but when I save the results, the VTK file loo…
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I would like to ask how your hypothesis is generated. I have read the article many times but find it difficult to understand. The initial hypothesis is directly input into the trained inversion model,…
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### Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
### What happened?
The textual_inversion training only works correctly on ba…