Papers › Zero-shot Image-to-Image Translation
Zero-shot Image-to-Image Translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
Large-scale text-to-image generative models have shown their remarkable ability to synthesize diverse and high-quality images. However, it is still challenging to directly apply these models for editing real images for two reasons. First, it is hard for users to come up with a perfect text prompt that accurately describes every visual detail in the input image. Second, while existing models can introduce desirable changes in certain regions, they often dramatically alter the input content and introduce unexpected changes in unwanted regions. In this work, we propose pix2pix-zero, an image-to-image translation method that can preserve the content of the original image without manual prompting. We first automatically discover editing directions that reflect desired edits in the text embedding space. To preserve the general content structure after editing, we further propose cross-attention guidance, which aims to retain the cross-attention maps of the input image throughout the diffusion process. In addition, our method does not need additional training for these edits and can directly use the existing pre-trained text-to-image diffusion model. We conduct extensive experiments and show that our method outperforms existing and concurrent works for both real and synthetic image editing.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Text-based Image Editing | PIE-Bench | DDIM Inversion+Pix2Pix-Zero | Background LPIPS | 172.22 | #16 of 18 | Archive leaderboard | report |
| Text-based Image Editing | PIE-Bench | DDIM Inversion+Pix2Pix-Zero | Background PSNR | 20.44 | #16 of 18 | Archive leaderboard | report |
| Text-based Image Editing | PIE-Bench | DDIM Inversion+Pix2Pix-Zero | CLIPSIM | 22.80 | #16 of 18 | Archive leaderboard | report |
| Text-based Image Editing | PIE-Bench | DDIM Inversion+Pix2Pix-Zero | Structure Distance | 61.68 | #16 of 18 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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