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@theEricMa @87003697 great job，but how to make animate from a single image
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```
Autodetected carla dataset
Namespace(gpus=4, dataset='carla', xid='', resolution=128, batch_size=2, run_inversion=True, resume_from='g_carla_pretrained', root_path='.', data_path='../data/nerf',…
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- https://arxiv.org/abs/2104.05895
- 2021
本研究では、単一の学習サンプルから高品質で多様な画像を生成するために、IMAge-Guided model INvErsion (IMAGINE)と呼ばれる反転法を導入します。
IMAGINEでは、事前に学習した分類器の画像セマンティクスの知識を活用して、外部の識別器との敵対的な学習に関連付けられた分類器…
e4exp updated
3 years ago
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How to train own attribute classifier? THx
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Hi @rinongal, how are you?
I'm trying to train a person face with Textual Inversion on two models, the standard 1.5 base model and Deliberate V2 (DreamBooth fine tuned model based on 1.5, very photor…
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# Thanks for your valuable comments.
We thank AC and all reviewers for their valuable time and constructive feedback. We briefly summarize the suggestions and our answers as the following. You can …
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# DIFT
- [arxiv](https://arxiv.org/abs/2306.03881)
- [code](https://github.com/Tsingularity/dift)
- [project](https://diffusionfeatures.github.io/)
- Institution: Cornell University
## over…
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Hi,
Thanks for sharing StyleGAN3 project!
I've tried doing image inversion (real image to stylegan3 latent) using updated projector.py code of StyleGAN2-ada-pytorch, code taken from: https://github.…
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Thank you for your interesting work.
We used the exact code for our medical dataset without changing any settings. What we have observed is that until iteration 30,000 out of 150,000, all the losses…
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…