Research map / Image generation / Text-to-image diffusion
Network-to-Network Translation with Conditional Invertible Neural Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace the cINN with a deterministic MLP (ablation) | Network-to-network translation · Animals; translation from deeper segmentation-model layers | translation quality | Hurt |
| Replace the cINN with a deterministic MLP (ablation) | Network-to-network translation · Animals; translation from early segmentation-model layers | translation quality | No clear effect |
| Use the cINN to model translation ambiguities rather than a deterministic MLP (ablation) | Network-to-network translation · Animals; translation from the last segmentation-model layer | translation quality | Helped |
Closest papers by meaning
- Conditional Image-to-Image Translation (CVPR 2018 · similarity 0.88)
- TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation (ICML 2023 · similarity 0.88)
- TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning (CVPR 2019 · similarity 0.87)
- A Disentangling Invertible Interpretation Network for Explaining Latent Representations (CVPR 2020 · similarity 0.87)
- DINO: A Conditional Energy-Based GAN for Domain Translation (ICLR 2021 · similarity 0.87)
- Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion (ICML 2024 · similarity 0.85)
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