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Add paper link (#1)
Browse files- Add paper link (7279bf64ed6041cf2f201ad3a5768d25732d9139)
Co-authored-by: Omar Sanseviero <[email protected]>
README.md
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@@ -22,7 +22,7 @@ The λ-ECLIPSE model is a light weight support for multi-concept personali
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- **Project Page:** [https://eclipse-t2i.github.io/Lambda-ECLIPSE/](https://eclipse-t2i.github.io/Lambda-ECLIPSE/)
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- **GitHub:** [https://github.com/Maitreyapatel/lambda-eclipse-inference](https://github.com/Maitreyapatel/lambda-eclipse-inference)
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- **Paper (arXiv):** [
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Importantly, λ-ECLIPSE works in pure CLIP latent space without any additional information. Hence, it's performance can be easily imporved via test-time adaption to increase the concept alignment while having solid composition alignment.
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- **Project Page:** [https://eclipse-t2i.github.io/Lambda-ECLIPSE/](https://eclipse-t2i.github.io/Lambda-ECLIPSE/)
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- **GitHub:** [https://github.com/Maitreyapatel/lambda-eclipse-inference](https://github.com/Maitreyapatel/lambda-eclipse-inference)
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- **Paper (arXiv):** [https://arxiv.org/abs/2402.05195](https://arxiv.org/abs/2402.05195)
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Importantly, λ-ECLIPSE works in pure CLIP latent space without any additional information. Hence, it's performance can be easily imporved via test-time adaption to increase the concept alignment while having solid composition alignment.
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