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Thanks for your sharing.
May I ask if the train_autoencoder is implemented for unsupervised segmentation?
The official code is hard to reproduce and read.
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## Background
- 주어진 데이터 셋에 적합한 모델 찾기
## To Do
- [ ] 별다른 튜닝 없이 basseline 기준 모델 성능 비교
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i find the autoencoder weight has not been updated when the program is running. does it need to be modified?
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For purposes of utterance encoding, gesture encoding and facial expression encoding, we shall first appeal to a nonlinear solver technique for extracting the relevant features due to what is expected …
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ResShift is highly similar with Latent Diffusion Model, so i wonder did you try a VAE to construct the latent space? Did it work well? Why chose VQGAN? Looking forward to your reply!
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In the paper not many details are given regarding the autoencoder training fot txt-to-image, and those would be very helpful! Can we get some answers?
- Which dataset the autoencoder is trained on?…
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Thank you for your work and code. Have you ever tried MAE like pre-training on CCT? I have tried it initially, but it doesn't seem to work well. Could you give me some guidance? Thanks!
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### 論文へのリンク
[[arXiv:2004.04467] Adversarial Latent Autoencoders](https://arxiv.org/abs/2004.04467)
### 著者・所属機関
Stanislav Pidhorskyi, Donald Adjeroh, Gianfranco Doretto
- West Virginia Univ…
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Hi everyone,
I'm wondering if there's an elegant solution to the error ModuleNotFound not involving `sys.path.append()`. The situation is the following:
1. Script `train_model.py` is in `/work`.…
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Hi,
Can we train the autoencoder only, by fixing the ddim?
I want to train an autoencoder on a feature vector of size 64x64x256 and expect to get the z_sem which can work with the pretrained ddim. …