Comments (1)
Hi, zebra to horse is unpaired. One thing you could do is use JoliGEN to replace horses with zebras instead. For this you'd need to train an inpainting model on zebras, then replace horses with it. But this is different from unpaired image translation and comparison may not apply.
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Related Issues (20)
- Exception in dataloader.py HOT 3
- Preserving the semantics during translation HOT 6
- Using `--sampling-steps` in 'gen_single_image_diffusion.py` breaks the inference HOT 1
- A question about training on weather conditions HOT 13
- Issues encounter while training model on 4 gpus HOT 34
- How to train diffusion model on paired i2i dataset like style transfer? HOT 2
- Output image size when applying a model (inference) HOT 4
- Using TPUs HOT 1
- Unet_mha_ref_attn run training example
- inference unetref generator HOT 7
- Error when loading the dataset with Release 1.0.0 HOT 5
- Training with semantic segmentation error "NameError: name 'N_img_path' is not defined" HOT 2
- unet ref training preview and inference script HOT 4
- Adding logo(s) in AI-generated shirt HOT 3
- The 'ref-in' parameter is indeed mandatory. HOT 3
- problem training on master HOT 3
- Advice about training result HOT 9
- Import images with paths.txt file in unaligned mode HOT 2
- BUG: AttributeError: 'float' object has no attribute 'clone' HOT 5
- DDPM inference anormal size HOT 2
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